
A year after I wrote the original ‘Why Phi’ post explaining my discovery of the Fibonacci sequence links between solar system orbits and planetary synodic periods here at the Talkshop in 2013, my time and effort got diverted into politics. The majority of ongoing research into this important topic has been furthered by my co-blogger Stuart ‘Oldbrew’ Graham. Over the last eight years he has published many articles here using the ‘Why Phi’ tag looking at various subsystems of planetary and solar interaction periodicities, resonances, and their relationships with well known climatic periodicities such as the De Vries, Hallstatt, Hale and Jose cycles, as well as exoplanetary systems exhibiting the same Fibonacci-resonant arrangements.
Recently, Stuart contacted me with news of a major breakthrough in his investigations. In the space of a few hours spent making his calculator hot, major pieces of the giant jigsaw had all come together and brought ‘the big picture’ into focus. In fact, so much progress has been made that we’re not going to try to put it all into a single post. Instead, we’ll provide an overview here, and follow it up with further articles getting into greater detail.
One of the longest known climatic periods is the ~413,000 year cycle in the eccentricity of Earth’s orbit. This period has been found in various types of core sample data and discussed in many paleoclimatic science papers, along with cyclicities around 95, 112 and 124kyr, and shorter periods such as Earth’s obliquity variation, ~41Kyr and Earth’s equinoctial-precession periods of ~19 and ~23kyr. Stuart has discovered how all of these periods are related to each other and to the planetary orbits and their synodic conjunctions.
We’ve also been able to link these Earth Orientation Parameters and climatic periodicities to the planetary orbital and synodic conjunction periods which we believe are key to modulating solar activity. The basis for these were laid out in my 2011 post on Jupiter and Saturn’s motion and further developed with the valuable input of many Talkshop contributors, culminating in the solar variation models published by Rick Salvador and Ian Wilson in the 2013 special issue of Pattern Recognition in Physics.

Figure 1 below scratches the surface of what we have discovered. These relationships are all precise whole number ratios, not approximations. The red ‘Graham Cycle’ is a novel addition to previously known cyclic periods which connects the three areas of the figure; Solar-Planetary at the top, climatic periods bottom left, and Earth Orientation Parameters bottom right. Of note, are the ratios between the 60kyr Graham Cycle period and the periods in the three groups. They are mostly ratios of Fibonacci numbers or combinations of them. We know from a previous investigation that Fibonacci and phi (Golden Section) related periodicities tend to be stable and minimally resonant. It could be that the reason the 60kyr period hasn’t been found previously is due to it not showing up strongly in periodograms and other spectral analyses. Nonetheless, it’s an important period for our ‘Why Phi’ investigation and has a lot more connections than we wanted to clutter up Figure 1 with, as it already looks pretty busy!

Solar cycles
Starting with the upper ‘Solar planetary’ section of figure 1, Ian Wilson’s 2013 PRP paper noted that the Hale cycle and Jupiter-Saturn synodic (J-S) have a 193 year beat period, which is evident in Oxygen18 isotope data as well as Group Sunspot Numbers and 10Be ice core data. This was picked up by the Helmholtz Institute research lab and covered in our earlier post on the Solar Magnetic cycle. What they didn’t pick up on is the fact that the same 193year beat period can also be derived from the 178.8yr Jose cycle and the 2403yr Solar Inertial Motion (SIM) period.
This second route to the 193 year solar magnetic cycle is a novel result revealed in this post. Using the beat period formula of (A*B)/(A-B) = period, the solar inertial motion cycle (A) proposed by Charvatova of ~2403 tropical years and the Jose cycle (B) produces the same 193 year result. It was then possible to tie all this together in the 60 kyr cycle shown in the diagram.
There are 336 Jose and 25 SIM in 60 kyr which means the beat period produces 336-25 = 311 solar magnetic cycles of 193 years each. The number of Hale cycles in 60 kyr is given by the number of J-S minus the number of solar magnetic cycles. i.e. 3024-311 = 2713. It’s notable that 311 and 2713 are both prime numbers. Coupled with the fact that the number of J-S in 60Kyr is the Fibonacci multiple 144×21, we think this is a strong indicator that both 193yr and 60kyr periods are significant solar-planetary cyclic periods.
Support for the 60kyr period comes from Russia, where in 2017 A. S. Perminov and E. D. Kuznetsov produced a paper at at Ural Federal University, Yekaterinburg, entitled ‘Orbital Evolution of the Sun–Jupiter–Saturn–Uranus–Neptune Four-Planet System on Long-Time Scales’. This paper shows inter-related variations in the orbital parameters of the gas giants including antiphase changes in the eccentricities and orbital inclinations of Jupiter and Saturn at ~60kyr and in-phase changes in those parameters at ~400kyr, antiphase to Uranus. These ~400kyr variations are likely to be drivers of Earth’s 413kyr eccentricity cycle.

Original Russian Text © A.S. Perminov, E.D. Kuznetsov, 2018, published in Astronomicheskii Vestnik, 2018, Vol. 52, No. 3, pp. 239–259.
Planetary-climatic cycles
Moving on to the lower left ‘climatic and planetary cycles’ section of Figure 1,
The de Vries cycle is half of 21 J-S and is a prominent climatic cycle. It also links to other cycles through resonant harmonics: Hallstatt = 11 de Vries, J-S synodic precession cycle = 12 de Vries. 6 de Vries is 7 Jose cycles. 33 de Vries is 7 Eddy cycles. See also Why Phi? – Jupiter, Saturn and the de Vries cycle.
The lunar-terrestrial year (L-T) is 13 lunar months. Earth’s tropical year is used throughout this post. Whole numbers of both occur at 353 tropical years and 363 lunar years, forming 10 beats (363-353) of 35.3 years. An important period is 13 L-T, which is 2 Hallstatts and 11 de Vries cycle pairs (22 de Vries). This is 1/9th of the obliquity cycle. It is also 3x7x11 J-S. It follows that the 41kyr obliquity cycle is 3x7x11 Jose cycles, because the Jose cycle is 9 J-S. 3,7 and 11 are all Lucas numbers. We will post a separate article on the inter-relation of the Fibonacci and Lucas series, as they relate to orbital resonance. See also Sidorenkov and the lunar or tidal year (2016)
An explanation for the effect of the motion of the gas giants on these and other climatic periods is found in Nicola Scafetta’s 2020 paper ‘Solar Oscillations and the Orbital Invariant Inequalities of the Solar System’ discussed here at the talkshop.
EOP
At the lower right of Figure 1 we find Earth orientation parameters and associated cycles. To understand how these link to planetary periods we need to look at the motions of Jupiter and Saturn in particular. Kepler gives us this useful graphic in his book De Stella Nova (1606).

From an earlier post: ‘As successive great conjunctions occur nearly 120° apart, their appearances form a triangular pattern. In a series every fourth conjunction returns after some 59.8 years to the vicinity of the first. These returns are observed to be shifted by some 7–8°’. Wikipedia. [2019 version]. After 3 J-S the conjunctions have nearly described an exact triangle, but the start position has moved (precessed) slightly, by 60/7 degrees of precession of the J-S conjunction axis. It takes 42 of those (42*3 J-S) to complete the precession cycle in 2503 years. (41×61.051 y = 41×360 degrees movement of the axis).
The 413kyr eccentricity cycle is equivalent to 55*3 of these J-S synodic precession periods, and 6765 or 55×123 (Fibonacci and Lucas numbers) of the 61.051 360 degree periods. Additionally 413 kyr = 10 obliquity periods.
In the brown triangle: the 19 kyr and 23 kyr periods have a beat period of the 112kyr perihelion precession.
23 kyr is 10 Hallstatt cycles.
In the blue triangle: the 95 kyr (5×19 kyr) and 124 kyr (3 obliquities) have a beat period of 413 kyr i.e. Earth’s eccentricity cycle (mentioned in various research papers). Since our 95 kyr = 353×270 and our 124 kyr = 353×351, we find: (351×270) / (351-270) = 1170, and 1170*353 = 413010 years (the obliquity period).
Discussion
The 95 and 124kyr eccentricity cycles are linked with glacial periods. From Park and Maarsch (1993) paper ‘Plio—Pleistocene time evolution of the 100-kyr cycle in marine paleoclimate records’: “The DSDP 607 time scale is more favorable to an abrupt jump in amplitude for the 95-kyr δ18O envelope, but not in the 124-kyr envelope. Rather, long-period δ18O fluctuations appear phase-locked with the 124-kyr eccentricity cycle some 300-400 kyr prior to its growth in amplitude and phase-lock with the 95-kyr eccentricity cycle in the late Pleistocene.” Because the 124kyr period is 3x41kyr (obliquity period), this may help explain the change from glacial periods around 41kyr to around 100kyr.
The bi-modality of glacial cycles and the 95 and 124kyr cycles is one of the modes of variation mirrored between celestial cyclic motion and Earth climatic events. There are also many periods which are ‘quasi-cyclic’ and vary in length within bounds whose attractor nodes fit our phi-Fibonacci scheme. We are not claiming to have elucidated a deterministic and predictable system with our precise whole-number orbitally resonant ratios. We are offering this scheme as a potentially useful roadmap for further investigations into the intriguing numerical links between planetary orbits, synodic timings, planar inclinations, eccentricities, energy transfers and other celestial mechanical and orientation data.
As an example of how our scheme links shorter to longer term cycles, there are exactly 9 Jupiter Saturn conjunctions in the period of the Jose cycle of 178.8 years. There are 55x21x2 Jose cycles in the 413kyr eccentricity period. Experienced researchers like Paul Vaughan will immediately see that this product of multiple Fibonacci numbers resolves to the product of the first 6 prime numbers 1,2,3,5,7,11.
The solar system is organised by the forces of gravity and electro-magnetism into a log-normal distribution of which the Fibonacci series and Lucas series are examples which maintain the stability of the system. Resonance is minimised, but also utilised to transfer energy between orbits in order to resolve inequalities through resonance-forced changes to the eccentricity and inclination of orbits. These changes give rise to the cyclic changes in climatic factors on Earth observed at all timescales from the ~22yr Hale and ~60yr J-S trigon to the ~100kyr and 413kyr glaciation in core sample data and other indices.
Data sources and acknowledgements
Planetary data used is from NASA JPL which gives the Seidelmann values for orbital periods. Our thanks to Paul Vaughan for insisting on their use.
The periods we have calculated can all be reproduced using the ratios we have provided on Figure 1 and the NASA JPL values for the Jupiter, Saturn and Uranus orbital periods.






1 = (1/2)*2
“There’s a11LADI … CO[$]…sum timeswords halve*II meanings” — LZ
May peace and tranquility be with you as you revel in super, natural beauty today and always.
K Tune SST all
Reblogged this on Climate Collections.
If true, what would this tell us about the earth’s climate for the remainder of this century?
PM, welcome. Our orbital resonance based solar prediction model did well with the peak of solar cycle 24, but it remains to be seen how well it does with the current cycle 25. If it is somewhere near, then I expect to see temperatures down by 2030, with ongoing lower temperatures until late in the century.
Keep vigilantly in mind that Salvador (2013) did not model observed solar cycle phase.
Also: “Solar” proxies are being misinterpreted.
“Planetary data used is from NASA JPL which gives the Seidelmann values for orbital periods. Our thanks to Paul Vaughan for insisting on their use.”
Keplerian not in isolation but in concert (compare, contrast, relate) with fits, tropical, etc.
This is were cross-disciplinary “experts” failed to efficiently guide at other sites, costing 6-7 years – maybe a decade.
Recently I suspended my explorations totally and completely after realizing we were (maybe deliberately) misguided. Suddenly everything fit. The interest in further exploration and reporting vanished. No doubt real experts (not the decoy ones online) have had full models for many decades.
That’s just a touch of paranoia. We all get it from time to time. The last 18 months have been tough, especially for people living on their own.
2020 to 2060 AD would seem like bad years to explore Mars- and start towns on Mars.
To be more forthcoming: going through my first switchover from Windows to MacOS (major destructive impact on efficiency, seasoned orientation, and productivity).
Based on how easily lunisolar insights came after overcoming longstanding hurdles recently, I believe (confidently) that detailed geophysical models exist in high-level security circles. I suspect the details will be kept secret for as long as possible for well-founded reasons.
Necessarily I will be more selective and casual about what I explore and how I contribute moving forward.
–
Quick note on OB’s introductory summary: I do recall seeing most of the notes piece-wise over time. OB stressed 60k on a number of occasions. OB: if you have a link to a non-paywalled full version of the Russian article, please share it.
For convenience, here’s a list including the NASA “factsheet” fits:
Paul V: “Quick note on OB’s introductory summary”
I wrote this post using Stuart’s notes on the numerics.
One needs to keep in mind that the cycle that dominated human fortunes in the last 8kyrs is the Eddy. And ancient texts, Akkadian and Indian, say the moon had its hands in the ‘pie’ up to the elbows.
PV says “I suspect the details will be kept secret –“. Ancient literature from Egypt (Maqrizi) say the priests had found the 400 something astro relationship, and recorded it in obfuscated ways to keep it from the people. It served for no good, that known from the recorded laments – “sage Ipuwer described the anguish of the period: “Lo, the desert claims the land. Towns are ravaged. . . . Food is lacking. ” Somewhere there there’s a lesson for us.
Nice post.
For those who may be interested, I am coediting a special issue on the harmonics of the solar system.
https://www.frontiersin.org/research-topics/25004/the-interplanetary-harmonic-synchronization-of-solar-systems-and-its-effects-on-their-central-stars
Contact me directly for information.
By the way, I had a new paper just published which also may be of general interest:
Scafetta, N. Testing the CMIP6 GCM Simulations versus Surface Temperature Records from 1980–1990 to 2011–2021: High ECS Is Not Supported. Climate 2021, 9, 161.
Abstract: https://www.mdpi.com/2225-1154/9/11/161
Hi Nicola, thanks for commenting here. Keep an eye on your inbox for an email from me.
Note re. our Figure 1 – Spatio-temporal diagram:
The 19kyr:23 kyr ratio of 65:54 means 65*353 TY (23 kyr) and 54*353 TY (19 kyr), i.e. lunar-terrestrial cycles.
If anyone can, please provide a link to a free, full version of the 2017 paper mentioned in TB’s article.
oldmanK, I have tried repeatedly (by linking to 2 graphs back-to-back) to help you realize that 980 year cycle amplitude varies with the extremes of the 6ka cycle.
That’s an important 1-sentence comment.
Now there is something I would like to ask you since you appear to worry so much about the 980 year cycle: are there some measures you think societies and civilization should take to mitigate against its hazards (even if you presently lack the capacity to say exactly when it might hit a double or pull a 1470+980+490 phase twist on your planning team)?
PV, that fact did not escape me. However I think I still miss the devil in the detail you are pointing to.
A 6ka cycle has ugly connotations. Next in the Eddy 980 cycle is a peak. Past two peaks were mild. Not only variations in amplitude but also frequency of triggering. Or phase shift? No, shift in trigger yes but not in cycle peak; clear over 8k. Anyway, 6 peaks ago (=~6ka) from the next, the Sahara dried abruptly, Otzi froze abruptly in a location that was ice-free with temperate fauna growing, and nearby here a second calendar was built with reduced equinox to solstice angle from the adjacent older one. One can speculate about the first two, but not the third.
Next to your PV request. Two things learned in life, out of necessity. First, early in life, to plough a field behind a wooden plough. Then from late teens, engineering; power generation and out of interest its history. Two observation: 1: In today’s highly integrated world, covid showed the food chain was the first to fail, and fast. 2: In a disturbance the widespread grid is the last thing to rely on. In spite of the great advantages of electrical technology, which is now considered as a god-given human right, that will be one of the first of the biggest let-downs. There needs for there to be Plan ‘B’ that is real, installed and fully functional. The era of the wooden plough is gone (those who are still there will never leave the dark ages); its replacement needs fossil fuels, widely available and decentralised.
A take on a part quote from Theodore Dalrymple (with my changes) : “When people are forced to remain silent when they are being told the most obvious ‘misconceptions’, or even worse when they are forced to repeat ‘them’ themselves, they lose once and for all their sense of probity.” My view: some techno/scientific sacred cows are worse than the docile but ungody ones emitting methane.
oldmanK, if I understand this correctly, a reduced equinox to solstice angle implies an increase in obliquity, or a shift in the surface relative to the spin axis. Isn’t either of those more likely to be due to a cataclysmic impact than a cyclic change in EOP?
Amazing. Congratulations, fellows! Looking forward to more.
oldmanK,
Re your post about the 6ka and Eddy cycles.
When is the next Eddy cycle peak, and how may it affect us?
tallbloke: No, the opposite. Equinox to solstice angle at equator equals earth tilt angle. That angle increases with latitude, and reaches (theoretically for sphere) 90deg at arctic circle.
See http://www.land-navigation.com/direction_of_sunrise_and_sunset.html
No crustal shifts, and -likely- no impacts. (Ancients say when there is no moon at night, and same, when the sun and moon are together)
At latitude 35.8N angle is ~29deg (as today at Mnajdra, but design started at 18deg – the Dodwell change at 2345bce). 6ka ago change ~23 to 18. Calendars don’t give date of change. Those disturbances appear sharp in certain proxies (see https://melitamegalithic.wordpress.com/2019/08/12/searching-evidence-deaths-tsunamis-and-earth-dynamics/ )
Reduced angle means more insolation between new tropics and colder beyond.
See fig 5 here https://www.terrapub.co.jp/e-library/ecp/pdf/EC0301.PDF
Poly: Follow fig 122 here https://judithcurry.com/2018/06/28/nature-unbound-ix-21st-century-climate-change/ Its from June 2018, from when other dates/events began to fall in place.
Last two peaks, Roman warm period and Medieval WP were mild but still disruptive, mainly from what data I find, as climate shifts.
Making a crude & quick effort to aid learning & discussion by compiling a few links here.
My interpretation of these curves is consistent with neither conventional nor unconventional views.
Be careful using “fig 122” as a general guide as it is idealized:
=
Figure 122. Solar Grand Minima distribution during the Holocene. Thirty Solar Grand Minima (SGM) from solar proxy records during the Holocene, identified in the literature, are indicated by black boxes of thickness proportional to their duration. The ~ 2450-year Bray solar cycle (black sinusoidal) and the ~ 980-year Eddy cycle (red sinusoidal) identified in solar proxy records are displayed at their proposed time-evolution that best matches both solar activity and climate changes consistent with their periodicity. Periods where any of the cycles are at the lowest 20% of their relative sinusoidal function are marked in red, and comprise 54% of the Holocene. Present position is indicated by a dashed line. SGM show a bias towards clustering at the red areas. RWP: Roman Warm Period. DACP: Dark Ages Cold Period. MWP: Medieval Warm Period. LIA: Little Ice Age. MGW: Modern Global Warming. Source for SGM data: Usoskin et al., 2007; Inceoglu et al., 2015; Usoskin et al., 2016.
=
Ray Tomes reported on 6ka at the talkshop years ago.
It takes only a few minutes to isolate this crude view (no special tools needed) from 14C:
Extremes: on average every ~3ka but that’s a crude number (use peaks & troughs as better guide).
Nonlinear aliasing: mostly discrete seasonal “exists” / “does not exist” circulatory aliasing.
oldmanK, thanks for sharing the interesting commentary.
that was a rare occurrence – 2 people quickly & efficiently agreeing across-disciplines on something important on a climate blog – “unbelievable” (a moment of celebration)
A comment on PV’s third graph – holocene drift ice-. It is/appears in Bond et al 2001 and refers to record (core) MC52-VM29-191. It has been used also by others as in my link above.
Here https://www.researchgate.net/publication/11616606_Persistent_Solar_Influence_on_North_Atlantic_Climate_During_the_Holocene
Page 3 first col says “We increased sampling resolution to 20yrs in places and still resolved abrupt shifts—“. It is the curve at bottom of fig 2 in paper.
As presented two dates are critical. At 5k2bce and 3k2bce since they appear to correlate to abrupt tectonic events (and for some reason they are precise Eddy roots). However something appeared not right to my mind (which could be my own misunderstanding of the sampling and its presentation). At those two dates I expect the sampling percentage to rise sharply not fall. I also have an impression of reading somewhere that its represented inverted, or that the scale has to be inverted.
Maybe someone can throw light on this.
“Others ask why such a well-established and functional system should be replaced, arguing that the existence of two competing abbreviations is likely to cause confusion.”
Indeed.
In case it wasn’t obvious: my calculations are in Julian years, not Gregorian.
Drive a pickup major who’ll low hone?
“At those two dates I expect the sampling percentage to rise sharply not fall.”
14 sea DO scree
T($witch)
rearrange f(ace or macro fool ’em)
SOLAR EXCITATION OF BICENTENNIAL EARTH ROTATION OSCILLATIONS [2012]
The North America temperature spectrum contains significant oscillations with periods 210a and 230a, which appear as the 10th and 11th harmonics of the 2300a Hallstatt cycle.
— https://www.irsm.cas.cz/materialy/acta_content/2012_03/2_Ron.pdf
– – –
From our Figure 1:
Hallstatt = 2294.5 TY (‘2300’) = 11 de Vries
Ratio 1:11 gives 11-1 beats, or harmonics = 10
2294.5/10 = 229.45 TY (‘230’)
1 de Vries = 208.5909 TY (‘210’)
Side note on the importance of solar prediction.
“However I think I still miss the devil in the detail you are pointing to.”
“solar” “1500” PRfound www esst urn guise
“NATO centre of excellence to study the security threats posed by climate change”
“The Pentagon and British defence departments have been developing climate security plans for more than a decade, but Friday’s announcement appears to entrench that thinking in the 30-country NATO military alliance.”
“It’s not just conspiracy theorists and marginalized, angry people online […] It’s state actors, too, using disinformation, propaganda, and cyberwarfare to harm our economies, our democracies, and undermine people’s faith in the principles that hold us together.”
Cairn ease$peak climb IT:
“The only language you need to know is money.”
This is indeed a great new paper by Svensmark et al (2021): https://www.nature.com/articles/s41598-021-99033-1
We have also used CERES-measured reflected solar radiation to show that its annual variations are 100% consistent with independently observed global surface temperature fluctuations over the past 20 years. In other words, changes of global surface temperature in recent decades are completely and fully explainable by the observed variations in Earth’s cloud albedo. No room left for a “CO2 forcing”! For details, please watch this video presentation we made at the 101st AMS Meeting last January:
oldmanK, which of the following patterns is most geographically consistent with your 980 readings?
Paul V, shouldn’t those temperature keys be marked as Kelvin rather than Centigrade?
For example, an average annual temperature of 270C for the Tibetan plateau seems a bit high, and 300C for the tropical oceans is somewhat implausible.
Also, the absolute amplitude of the diurnal cycle of 7K seems low for the Sahara.
“Saharan desert zone has the most discordant climate in the world. Being that here is almost constantly sunny weather, the air is very hot, especially in summer when the sun is high and the days are long. While daytime temperatures in the shade reach 30C, at night the air is very cool, especially in winter, and night temperatures fall below 0C.”
http://hikersbay.com/climate/westernsahara?lang=en
Can you give me some help with interpretation please.
Ned, I’ve tweeted your presentation for you.
A 6ka cycle discussed earlier looks like a match between 35 U-N and 302 J-S. Maybe it could repeat but don’t have any dates to propose.
TB: mouse-hover over image links paper, authors (if you’ve technical questions for them)
vary image-search combos — e.g. “semi-annual” amplitude map
other authors well-aware of same spatial pattern — e.g. compare:
Mostly I’m curious to hear something about oldmanK’s 980 (homogeneous?) spatial-pattern-worries (and linking to maps opportunistically to reduce spatial pattern ignorance).
There seems to be a “misunderstanding”, so let’s try this:
Boris Johnson leads anglosphere climate too “sst up: id & con tag us” (320 = 163+67+43+19+28)
Paul V; cannot really answer; here’s why
The evidence I’ve been collating was not related to climate. It is in two primary aspects: 1) what appear to be tectonic changes in the central Med, and 2) what appear as obliquity changes, from a number of calendars in their main dimension, that is the horizon sunrise equinox to solstice angle.
That the dates of the above mentioned changes, as perceived and correlated from a number of proxies, corresponded to the 980 cycle roots (from 7ka bce to 2ka bce; and on to the last 2kyrs) meant this is not simple coincidence. So did the cycle peaks, eventually found to correspond to historical social changes. In all cases, climatic conditions and climatic change were a collateral event, and not exactly repeatable. (Eg. tectonic change was permanent – until the next. The resulting desiccation of the Sahara in 3550bce ~6ka ago, up to now was permanent.)
[Some examples – short excepts: cycle roots and peaks:
1 — evidence for prolonged winter shamal seasons around 4,200 years ago –2k2bce. — could explain why Akkadian crop production dramatically decreased and the empire’s irrigated fields underwent salinization, leading to widespread famine that triggered the state’s dissolution. (at root)
2 — Reading the history of the Punic Wars, —- sprinkled salt on her land so that nothing else grew– we will not find any information about the salting of the land, but only mention that the city was full of ruins; 146bce – salinization – root.
3 — Tall el-Hammam is biblical Sodom, ending ca. 1700 BCE, — and that changed to allow civilization to return 600-700 years later. (collapsed post peak of 1750bce and re-inhibited pre following peak of 800bce]
I don’t think one can put a climatic pattern to any situation. What may be the reality is that certain changes alter the climate pattern permanently. Eg the said 6150/6200bce root corresponding to the sinking of Doggerland could have had a permanent effect on the climate of continental europe.
Misunderstandings arise when people don’t give straight answers and speak in riddles.
Re my last comment above see (seen at https://judithcurry.com/2021/10/31/week-in-review-science-edition-130/#comments). About 8k2 event (6150 bce)
https://pubs.geoscienceworld.org/gsa/geology/article/doi/10.1130/G49296.1/608090/New-estimates-of-the-magnitude-of-the-sea-level
“I don’t think one can put a climatic pattern to any situation.”
I appreciate the source of exasperation, as deeper mutual understanding could (under unfavorable circumstances) take lifetimes and teams of true expert communication (including terse statement of classification theorem role in spatiotemporal chaos) …but at least recognize a few basics for now:
1 year
0.5 years
2.37 years
Wilfully ignoring building blocks (& nonlinear including discrete circulatory aliasing) is physically unreal.
Followers of recent arctic ice thread no. “AMO’$keyDO” (Nirvana).
proximate (lunisolar) & distal (broader system)
all “fit” (the part missing until late summer) together (nearly-decade delay CO[$]buy “experts”)
I see enough of the pattern (as of late summer) to know a team of talented communicators exists.
It’s up to them (not me) when (& weather) they’ll communicate.
Cont: The link as in above re sea level may be downloaded as pdf. See fig 4 of pdf.
At the 8k2BP (6150bce) abrupt change. Post event Gisp2 d2O increases rapidly >> temp increase.
Correlating, same temp rise happens at Vostok (polar), but a reverse at Kilimanjaro (equatorial).
The TS line is of interest, in the period between 8k2 (6150bce) and 4k2BP (~2200bce) when events appear to stabilise. Is the elevated TS -total sulfur – indicative of elevated volcanic activity? That would be in keeping with the other evidence, tectonic and “more”.
Copy/paste of notes drafted (con$script$yuan Kurt – Mars yell) a few months ago:
Jupiter-Earth-Venus (JEV) NASA “factsheet” fits
basic stuff
1.59869582147101 = beat(1.00001642710472,0.61519780971937)
0.799347910735507 = 1.59869582147101 / 2
0.399673955367753 = 1.59869582147101 / 4
0.380883168073026 = axial(1.00001642710472,0.61519780971937)
0.190441584036513 = 0.380883168073026 / 2
0.0952207920182565 = 0.380883168073026 / 4
0.761766336146052 = harmean(1.00001642710472,0.61519780971937)
generalized-Bollinger axial set-up
0.814043513256406 = beat(11.8619822039699,0.761766336146052)
0.407021756628203 = 0.814043513256406 / 2
0.203510878314101 = 0.814043513256406 / 4
0.715798377497214 = axial(11.8619822039699,0.761766336146052)
0.357899188748607 = 0.715798377497214 / 2
0.178949594374304 = 0.715798377497214 / 4
base-level slip-cycles (base of slip-hiearchy construction)
44.2788229093651 = slip(1.59869582147101,0.814043513256406)
22.1394114546826 = slip(1.59869582147101,0.407021756628203)
11.0697057273413 = slip(1.59869582147101,0.203510878314101)
6.84829603928923 = slip(1.59869582147101,0.715798377497214)
3.42414801964461 = slip(1.59869582147101,0.357899188748607)
24.1412003962475 = slip(1.59869582147101,0.178949594374304)
a few things to note from the hierarchy
146.05776369693 = slip(44.2788229093651,1.59869582147101)
73.028881848465 = slip(22.1394114546826,0.799347910735507)
208.23504902444 = slip(73.028881848465,44.2788229093651)
208.235049024445 = slip(44.2788229093651,0.399673955367753)
104.11752451222 = slip(36.5144409242325,22.1394114546826)
3651.64416767031 = slip(44.2788229093651,0.0952207920182565)
3651.64416765971 = slip(349.986741261455,44.2788229093651)
Recall 73 = average(19,43,67,163) is the lowest prime congruent to 1 mod 24.
50 ~= 3651.64416767031 / 73.028881848465
This is to contrast with (analogUS) Keplerian 5256 = 7920-2400-240-24.
Nothing to do with “bore us” politics, but naturally more interesting — and beautiful.
JSEV
1.59869582147101 = beat(1.00001642710472,0.61519780971937)
0.761766336146052 = harmean(1.00001642710472,0.61519780971937)
60.9470469878813 = slip(29.4571389459274,11.8619822039699)
0.814043513256406 = beat(11.8619822039699,0.761766336146052)
0.771408028343905 = beat(60.9470469878813,0.761766336146052)
0.7523626882775 = axial(60.9470469878813,0.761766336146052)
22.0696489390603 = slip(1.59869582147101,0.771408028343905)
12.7997594036608 = slip(1.59869582147101,0.7523626882775)
6.39987970183041 = slip(1.59869582147101,0.37618134413875)
3.19993985091521 = slip(1.59869582147101,0.188090672069375) ~= 3.2
JEV
fits
11.0697057273413 = slip(1.59869582147101,0.203510878314101)
kep
11.0696157491919 = slip(1.59868955949705,0.203510096933728)
Recall 28 = s(28) (no other way to get there).
320 = 28+292 “fits” “744 levels”
Can be made easy-to-understand by average member of General Anglo$Fear less Angela$and (i.e. Gore) UN? No. idea, but we’re all sick and tired of the politics.
“What may be the reality is that certain changes alter the climate pattern permanently. Eg […] sinking of Doggerland could have had a permanent effect on the climate of continental europe.”
Yes. Tipping points are observed. Bill Illis’ classic graph again since it underscores discrete circulatory reorganization fantastically:
Cycles are observed too.
Those cycles are always there.
Other cycles we’ve discussed manifest over a more limited domain.
Gravitational & thermal tides (proximate) is what I’ve explored in distal context. I wouldn’t even try (at this point in time) to have a discussion with anyone about why I suggest “solar” proxies are being (severely) misinterpreted. I simply note that (better rightly said than left silent).
Tallbloke mentioned circulatory “cell structure” recently. I usually write “circulatory topology” with accompanying water transport & phase-transformations central in mind.
Severe miscommunications arise because most climate commentators (whether in person or online) are totally and completely ignorant of the basic circulatory building blocks.
In person I always quiz people on basic gyre structure awareness before I decide what to discuss (sometimes then deciding to totally change the subject immediately).
If they don’t even know about heat engines (equator-pole & interhemispheric) but they consider themselves well-informed about climate I do other checks (on their judgement and willingness to learn) before deciding whether to promptly change the subject or politely exit the conversation.
Observed
Solar cycle deceleration simply indicates interhemispheric throttle.
Confounded lunisolar structure exists.
I’ve worked out most of my Windows-to-MacOS migration issues so I may restart exploration. I reached “the starting point” in late summer this year and then stopped (with good reason).
PV says “If they don’t even know about heat engines—“.
Not only heat cycles, but dynamics of the gyroscope under external ‘gravitational’ forces. Our ancestors had discovered (way before the tensor calculus – whatever that was in my earlier days) that ‘when sun and moon come together’, they meet sometimes like brazen lovers and create a disastrous mess.
For after the friday booze: video
https://www.pbslearningmedia.org/resource/014e344c-14dd-465d-bc68-69c80c94fd81/skeletons-of-the-sahara-part-2/
Just the first minute, and note the series of dates.
7500bce > peak
6200 ” > root
5500 ” > peak
5200 ” > root
2200 ” > root
Missing 3550bce -peak- the time of abrupt desiccation of sahara, and 3200bce -root- tectonic shift, similar to 5200bce.
Info on their dating is missing.
oldbrew wrote “A 6ka cycle discussed earlier looks like a match between 35 U-N and 302 J-S. Maybe it could repeat but don’t have any dates to propose.”
73500 = slip(6000,1470)
Mozart Symphony No. 40
73500 = slip(6000,1470)
What does it mean? Spelled out simply:
⌊ 6000 / 1470 ⌉ = ⌊4.08163265306122⌉ = 4
6000 / 4 = 1500
i.e.harmonic of 6000 nearest 1470 is 6000 / 4 = 1500
73500 = (1500)*(1470) / (1500 – 1470)
7920 (M11)
4370 (B)
4270 = s(4370)
3650 = 7920-4270 = 146 * 25
Suggestion: Repeat calculations at link for Keplerian.
Thus concretely (in mathematical sense) find 5256 = 7920-2400-240-24.
178 (B)
836 smallest untouchable weird no.
2400 ~= beat(418,356) — (E8)
96 ~= axial(209,178)
oldmanK wrote in good spirits: “For after the friday booze”
No booze over here — and no alcohol consumption ever. This is my real taste:
Vivaldi RV 411 – Cello Concerto in F Major : Ofra Harnoy
Beyond that I have lots of acts, but the real me is clean and pure (minus whatever the toxic workplace politics of our incomprehensibly expensive city subtracted from my life mercilessly).
There can be no controversy about this:
2.36966735541038 = slip(0.999978614647502,0.0745030006844627)
9.0943796900619 = slip(2.36966735541038,0.499989307323751)
96.1613372617316 = slip(9.0943796900619,0.999978614647502)
Exploring beyond that:
207.339942322963 = beat(179.333839550924,96.1613372617316)
179.333839550924 = beat(207.339942322963,96.1613372617316)
65.6935817497354 = axial(207.339942322963,96.1613372617316)
131.387163499471 = harmean(207.339942322963,96.1613372617316)
103.669971161481 = beat(179.333839550924,65.6935817497354)
96.1613372617316 = harmean(179.333839550924,65.6935817497354)
96.1613372617316 = beat(207.339942322963,65.6935817497354)
179.333839550924 = beat(103.669971161481,65.6935817497354)
80.4240535631612 = harmean(103.669971161481,65.6935817497354)
The latter’s a candidate for SAOT (stratospheric aerosol optical depth) tower translation symmetry.
PV OK. Good to know always sober. Maybe most would be on sunday morning, perhaps with some time to spare.
Suggest (in line with thread)
https://www.youtube.com/watch?v=cWjY0RpUDd0 good for background
The question remains: what aligns with those dates (or near). If one likes watching music concerts – of the sane kind-, every so often the conductor stops to re-arrange the score, and his musicians. ‘Nodes’ in the music score. The solar system seemingly does so too. Those dates look like nodes, and the silence is a time of fear.
Slowly getting back in the exploration groove (suspended for 2.5 months) while overcoming Windows-to-MacOS hurdles 1 by 1.
As I’ve repeatedly reminded obtuse “energy doom & gloom” fans (who seem curiously unable to discuss natural climate variation sensibly, but perhaps able II accidentally CO[$] WWIII inequality), this is for sure observed clearly:
2.36966735541038 = slip(0.999978614647502,0.0745030006844627)
9.0943796900619 = slip(2.36966735541038,0.499989307323751)
96.1613372617316 = slip(9.0943796900619,0.999978614647502)
We all know this (lunar tropical month) is observed (with crystal clarity) in LOD:
0.0748024157783867 = axial(0.999978614647502,0.0808503463381246)
Simple step from there:
208.076918907664 = slip(96.1613372617316,0.0748024157783867)
Some interesting-sounding concepts here.
The Structure of Climate Variability Across Scales (2020)
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019RG000657
Plain Language Summary
Climate variables are related over long times and large distances. This shows up as correlations for averages on long intervals or between distant areas. An important finding is that the majority of correlations in climate can be described by a simple mathematical relationship. We present such correlations for temperature on long times. Similarly, the intensity of precipitation events depends on their frequency in a simple manner. A useful concept is scaling where a scale denotes the width of an average. Scaling says that averages on different scales are related by a simple function—mathematically, this is a power law with the scaling exponent as a characteristic number. Scaling has impacts on predictability, temperature trends, and the assessment of future climate changes caused by anthropogenic forcing.
– – –
Not sure about the ‘future climate changes’ bit 🙄
Ignorance “Fits”
Review:
semi-annual equivalents of LNC & LAC (lunar nodal & apse cycles)
LNC
0.0748024157783867 = axial(0.999978614647502,0.0808503463381246)
0.0695963307732714 = axial(0.499989307323751,0.0808503463381246) ~= 0.07
18.6129709123853 = beat(0.0748024157783867,0.0745030006844627)
1.05675245596013 = beat(0.0745030006844627,0.0695963307732714)
14.994646953627 = slip(1.05675245596013,0.0808503463381246) ~= 15 ($USDollars)
LAC
0.0748024157783867 = axial(0.999978614647502,0.0808503463381246)
0.0695963307732714 = axial(0.499989307323751,0.0808503463381246) ~= 0.07
8.84735293159855 = beat(0.0754402464065708,0.0748024157783867)
0.89843260443588 = beat(0.0754402464065708,0.0695963307732714)
8.00090645270494 = slip(0.89843260443588,0.0808503463381246) ~= 8 (OCTopUS0?07)
noteworthy:
30.0144661920487 = slip(14.994646953627,5.99685290323073) ~= 30
9.99363750860884 = beat(14.994646953627,5.99685290323073) ~= 10
5.99685290323073 = beat(0.0754402464065708,0.0745030006844627)
6.8554199096208 = harmean(8.00090645270494,5.99685290323073)
lunisolar
171.38549774052 = 25 * 6.8554199096208
171.389290439286 = beat(164.788501026694,84.0120465434634) — NASA “factsheet” fits
UN
0.761766336146052 = harmean(1.00001642710472,0.61519780971937) — NASA “factsheet” fits
0.814043513256406 = beat(11.8619822039699,0.761766336146052)
44.2788229093651 = slip(1.59869582147101,0.814043513256406)
JEV
22.1394114546826 = slip(1.59869582147101,0.407021756628203)
22.1397155269176 = 8.45661883002872 * φφ
JS
8.45661883002872 = axial(29.4571389459274,11.8619822039699) — NASA “factsheet” fits
2.61803398874989 = φφ
There were 378 comments on the last Scafetta thread. The last 2 comments exactly noted concrete (in the mathematical sense) properties of NASA “factsheet” fits not possessed by Keplerian elements.
build in a mystery
22.07 (JSEV)
11.07 (JEV)
10-0.07 = 9.93 ~= 9.92943862566537 = beat(29.4571389459274,11.8619822039699)/2
9.07 harmonic mean of LAC & LNC/2 (matrix attractor – use different year-lengths)
6.57 ~= axial(s/2,j) = 6.57038000192319 = axial(14.7285694729637,11.8619822039699)
2.37 QBO
0.07 ~= axial(semi-annual,lunar synodic)
42 = 19.86 + 22.14
4.2 = 6.57 – 2.37
Timin’D(ice seas)19 & 247
audio$11ave. no. 242 = 71+171 = average(ΣΔ(220),Σδ(220)) ?
142 = ΣΔ(220) = 2 * 71
342 = Σδ(220) = 2 *171
71 = Top moon sstir f(actor)
220 = lowesst amicable no.
19 = y mod 24 where y = 19,43,67,163
247 = average(-163,C) = average(Σφ(323),ΣΦ(323)) = ΣΦ(490)
This 2020 Geophys. Review article proposes splitting weather/climate timescales into regimes…
The Structure of Climate Variability Across Scales
The proposed regimes are as follows:
1. the weather regime with time scales from 6 hr up to 20 days with an exponent of β≈1.8
2. the macroweather regime with time scales between 20 days and 50 years and β=0.2
3. the climate regime with time scales between 50 and 80,000 years (includes glacial-interglacial cycles) and β=1.8
4. the macroclimate regime between 80,000 and 500,000 years and β=−0.6
5. the megaclimate regime for time scales larger than 500,000 years which takes us to the limit of reliable proxies (Lovejoy & Schertzer, 2013) and β=1.8.
https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019RG000657
– – –
The climate regime minimum period is longer than the satellite record promoted by the IPCC alarm crowd.
Some of the periods shown in our Figure 1, lower right sector.
Credit: A. Berger (1994)
No. 11edge of….
“-wan tag url with US$word$ Kurt?” –cake
The tree lisird guardian node out tropico[II].
J: -11/II
S(at)turn: +11/II+07
U: +07
N: -07
⌊1/Σ⌉time
LA N/A buzz ‘fits’
PRair$inequality
“1800 year” Jupiter-Venus “fits”
0.648849058984626 = beat(11.8619822039699,0.61519780971937)
1.16972993301468 = harmean(11.8619822039699,0.61519780971937)
42.1273789033386 = slip(11.8619822039699,0.61519780971937)
571.728713687145 = slip(42.1273789033386,0.648849058984626)
1.17212805162319 = beat(571.728713687145,1.16972993301468)
6.05665191901057 = slip(1.17212805162319,0.648849058984626)
18.1090542796984 = slip(6.05665191901057,0.648849058984626)
1800.94544758387 = slip(18.1090542796984,6.05665191901057)
–
208 & 3000 year Jupiter-Earth “fits”
1.09208381849802 = beat(11.8619822039699,1.00001642710472)
1.84453091657695 = harmean(11.8619822039699,1.00001642710472)
85.8241422239818 = slip(11.8619822039699,1.00001642710472)
208.060899534332 = slip(85.8241422239818,1.09208381849802)
1.86102957924381 = beat(208.060899534332,1.84453091657695)
6.28957264698494 = slip(1.86102957924381,1.09208381849802)
0.273020954624506 = 1.09208381849802 / 4
170.175183513687 = slip(6.28957264698494,0.273020954624506)
3000.4570621401 = slip(170.175183513687,6.28957264698494)
Ice Would Suffice
A geophysicist detects the celestial rhythms that govern the fate of the earth.
Like Milankovitch, Rial likes to think big. Lately he’s been studying the Earth’s orbital variations. Earth’s solar orbit constantly expands and contracts, oscillating in shape between an almost perfect circle and an ellipse. This continual cosmic waltz is known as the Earth’s eccentricity. The whole cycle-from greatest to least eccentricity, and back-takes roughly 95,000 years.
But eccentricity has a second component-as Earth’s orbit shrinks and stretches, it also rotates. A full cycle lasts 413,000 years (see illustration).
https://endeavors.unc.edu/win2000/rial.htm
– – –
Illustration link (one-page pdf) says:
The 95,000-year cycle occurs simultaneously with a second, longer cycle in
which the degree of eccentricity itself fluctuates. In figure 1, the maximum
eccentricity is very elliptical. In figure 2, maximum eccentricity has become
more circular. After 413,000 years, the cycle is complete (figure 3).
Click to access orbits.PDF
More re. 413,000 years…
And the missing 413,000-year eccentricity signal? FM theory can explain that, too. In frequency modulation, the modulator — in this case, the 413,000-year signal — doesn’t show up in the final signal. Rather, it widens the signal’s frequency by creating sidebands, or peaks distributed symmetrically on both sides of the carrier.
That, Rial says, is why heavy oxygen signals often show multiple peaks — and why some of those peaks are not directly related to Milankovitch frequencies.
ENSO cure deluge yuan TropiCO[II]
utmost fear roc-river
B -26˚CO[TooII]in’ _rain washin’ tune
fear caste$SSTin’ “out”
$0 C air “down” poor
sew word$ “soak air fully” or “$0 care folly?” love$era miss$sstory 2-1 vision
Dove “hide & concur” buy done? NO way: west-torn climbIT bully up$ET urban morgue II central lies CO[UNtry] life.
46 = (72^5-67^5-43^5-19^5-47^5)^(1/5) ——– n = 5
CO[$] LOCAL west-torn how-sing inequality
WORSE than TropiCO[II]in Can.: no. DO
-26˚C secret$awes B11inkUN reelUS $state
$0 deluge yuan means$ DO lose UN
4278 = 4370 – 46*2 = ⌊slip(164.788501026694,84.0120465434634)⌋ —— fits
UN can sell north earn -26˚C 0[$] TooII “DO:whatITache$JUST[in]getTH[_]ru…..MI sh! add DO….In$soak Eur. deluge yuan”
4270 = ⌊slip(164.791315640078,84.016845922161)⌉ = s(4370) —- Keplerian
World climate bullies (financially) assault “selfish” Can. aid UN pour.
Rich just ice: UNflyway over -26˚Code-who?bri$in TropiCO[II] deluge yuan.
selection from today’s informal slip-cycle exploration
—
Jupiter-Uranus fits
(alert readers compare carefully with Jupiter-Saturn Keplerian)
basics
13.8121761933365 = beat(84.0120465434634,11.8619822039699)
6.90608809666827 = 13.8121761933365 / 2
3.45304404833414 = 13.8121761933365 / 4
20.7887248306405 = harmean(84.0120465434634,11.8619822039699)
10.3943624153202 = axial(84.0120465434634,11.8619822039699)
5.19718120766012 = 10.3943624153202 / 2
2.59859060383006 = 10.3943624153202 / 4
1018.7884154919 = slip(84.0120465434634,11.8619822039699)
4247.89838274149 = slip(1018.7884154919,13.8121761933365)
generalized Bollinger set-up
20.8909627934705 = beat(4247.89838274149,20.7887248306405)
10.4454813967353 = 20.8909627934705 / 2
5.22274069836763 = 20.8909627934705 / 4
20.6874826760404 = axial(4247.89838274149,20.7887248306405)
10.3437413380202 = 20.6874826760404 / 2
5.1718706690101 = 20.6874826760404 / 4
+
42.8535516856396 = slip(20.8909627934705,13.8121761933365)
42.8535516856396 = slip(13.8121761933365,10.4454813967353)
38.8661803403201 = slip(13.8121761933365,5.22274069836763)
–
41.560206288534 = slip(20.6874826760404,13.8121761933365)
41.1913683891299 = slip(13.8121761933365,10.3437413380202)
41.9357092032815 = slip(13.8121761933365,5.1718706690101)
noteworthy findings
(alert readers will readily note number theory tie-ins)
417.707237123125 = slip(42.8535516856396,13.8121761933365)
208.853618561562 = slip(38.8661803403201,13.8121761933365)
208.853618561562 = slip(42.8535516856396,6.90608809666827)
104.426809280781 = slip(38.8661803403201,6.90608809666827)
104.426809280781 = slip(42.8535516856396,3.45304404833414)
2433.40320912782 = slip(41.9357092032815,20.7887248306405)
1216.70160456391 = slip(41.9357092032815,10.3943624153202)
608.350802281956 = slip(41.9357092032815,5.19718120766012)
304.175401140978 = slip(41.9357092032815,2.59859060383006)
152.041769532922 = slip(38.8661803403201,3.45304404833414)
349.059353015345 = slip(42.8535516856396,10.3943624153202)
149.003701341377 = slip(38.8661803403201,10.3943624153202)
698.11870603069 = slip(42.8535516856396,20.7887248306405)
298.007402682754 = slip(38.8661803403201,20.7887248306405)
239.056088301519 = slip(104.426809280781,42.8535516856396)
355.799519579182 = slip(slip(42.8535516856396,5.19718120766012),38.8661803403201)
2400.67054947816 = slip(698.11870603069,42.8535516856396)
selected recall
349.002324320085 = ⌊(e^√17π)^(1/2)⌉^2 – e^√17π
s(496) = 496 = s(652) = s(s(608))
29.4474891061275 = 1/(1/104+1/298)/φ^2 — ~Keplerian
———————————————————————
Jupiter-Saturn
semi-major elements
19.8815827583247 = beat(29.4525211998593,11.8693295447839)
61.1813294227419 = slip(29.4525211998593,11.8693295447839)
791.61563705865 = slip(61.1813294227419,19.8815827583247)
17.2894874414117 = beat(791.61563705865,16.9199430202764)
16.5658652544205 = axial(791.61563705865,16.9199430202764)
99.3316290158022 = slip(19.8815827583247,16.5658652544205)
25888.1275003765 = slip(99.3316290158022,19.8815827583247)
^ compare v
25887.2073732037 = harmean of following sidereal-tropical beats
25780.5804579468 = beat(29.4571389459274,29.42351935) —- S
26586.2998478743 = beat(84.0120465434634,83.74740682) —- U
25326.0015186278 = beat(164.788501026694,163.7232045) —- N
—
starting point reached: late summer this year
rich arrays to explore with parameter variation
no doubt varying degrees of awareness exist in geostratigraphy community (some cases patchy)
a few sensible climate students aren’t cancelling in mad-panic for inverted totalitarian lockdown
OB wrote “413,000 years”
readers may be aware: 413k estimate published 1978
more recent estimate: ~405k
sensible: comparative diagnostics, probe slip-cycle sensitivity to parameter variation
The ratios radiating from the de Vries cycle can be tested by putting 208.59091 in the memory of an 8-digit calculator, and using this cut from the main diagram of the post (brown circle added).
regarding the magnified diagram (discussed years ago without the diagram)
983 should be neither confused nor conflated with 980
the 2 are distinct and strictly related to one another mathematically
of the other quantities in the diagram only 2 are necessary (and important ones are omitted)
this may indicate a fundamental difference in what each of us is exploring — i.e. we have different exploratory objectives …and that is neither wrong nor right – it simply is
I’ve reoriented exploration (tropical, fits, semi-major elements, whatever else + relations between)
note well for example: last comment doesn’t feature any Keplerian elements
there’s a lot of stuff I never noted — too time-consuming and for no reward ($0 income for 1.5 years — meanwhile I knew a wealthy individual living for free in a big house collecting benefits during the same interval while researching offshore investments – weird qualification systems our western governments design …indeed)
Paul V. José Rial’s 2013 paper uses 413kyr. What citation has the 405kyr?
“Here we show that climate oscillations over the past four million years can be explained by a single mechanism: the synchronization of nonlinear internal climate oscillations and the 413,000-year eccentricity cycle. ”
https://www.nature.com/articles/ngeo1756?foxtrotcallback=true
This paper was published 2 weeks ago and mentions both periods.
Middle Ordovician astrochronology decouples asteroid breakup from glacially-induced biotic radiations
Precession filter output tuning option
Another tuning was performed using a large bandwidth precession filter output (0.04–0.1 cycles/cm) and setting up an average duration for this orbital component at 20 kyr according to ref. 25 (Supplementary Data 4). This tuning option logically enhances the power of the 20 kyr and erases any expression of frequency and amplitude modulations of the precession but highlights the presence of a significant periodicity at 413 kyr that matches fairly well the expected 405 kyr component (Fig. 4d). [bold added]
https://www.nature.com/articles/s41467-021-26396-4
– – –
They expected 405 kyr but found 413.
This one’s from January 2021.
A New Theory of Change in the Insolation of the Earth over Millions of Years against Marine Isotope Stages
J. J. Smulsky
Oscillations in the parameters of orbital and rotational motions of the Earth and various insolation components, as well as their periods and amplitudes, are considered for the last 5 Myr. Orbit eccentricity e varies with periods of 94.6 kyr, 413 kyr, and 2.31 Myr, while the periods of perihelion rotation relative to the equator are nonuniform and vary from 13.8 to 41.8 kyr. These periods can also be found in changes in the obliquity and insolation.
https://link.springer.com/article/10.1134/S0001433820070087
– – –
Some other papers refer to 405 kyr but not sure what the origin of the number is. 413 kyr derives from 124 kyr (3 obliquities) and 95 kyr (5*19 kyr) in our diagram, ratio 3:10:13.
quoting TB: “José Rial’s 2013 paper uses 413kyr. What citation has the 405kyr?”
g_2 – g_5 :
405113.811661464 = beat(304399.417131486,173804.240903943)
405568.048748278 = beat(304405.279928371,173889.708842077)
405691.196375825 = beat(304407.424910486,173913.043478261)
http://www.scholarpedia.org/article/Stability_of_the_solar_system
the suggestion I consistently make:
explore output sensitivity to parameter variation
i.e. do analyses with all possible combinations of parameters of all types from all sources
compare, contrast, benefit from awareness thus derived
e.g. “Charvatova 2400 year trefoil” is from Keplerian elements but does not exist with NASA “factsheet” fits-to-observations
“semimajor axis” appears twice on each NASA “factsheet”:
1. “Earth Mean Orbital Elements (J2000)”
2. “Orbital parameters”
generalized Bollinger method on latter
base
19.7966520147419 = beat(29.663446337819,11.8729429230374)
16.9582581219409 = harmean(29.663446337819,11.8729429230374)
slip
9311.85469245949 = slip(59.5164858493412,19.7966520147419)
axial +/-
16.989197952262 = beat(9311.85469245949,16.9582581219409)
16.9274307787351 = axial(9311.85469245949,16.9582581219409)
top level result
119.798661842894 = slip(19.7966520147419,16.989197952262)
top-base slip
2327.9636731148 = slip(119.798661842894,19.7966520147419)
Paul V. An inpage search doesn’t find 405. Fig.2 indicates g_3 and g_4 are also involved in Earth’s eccentricity, so it’s not clear to me why the beat period of g_2 and g_5 would produce a definitive value. Time is short, and a clear explanation would be welcome.
Review (stuff I always assume everyone memorized long ago – perhaps my bad assumption)
La2011 Table 6 & La2004a
173913.043478261 = 1 / g_2 = 360*60*60/7.452
304407.424910486 = 1 / g_5 = 360*60*60/4.257452
La2011 Table 6 La2010a
173889.708842077 = 1 / g_2 = 360*60*60/7.453
304405.279928371 = 1 / g_5 = 360*60*60/4.257482
La2011 Table 5
173804.240903943 = 1 / g_2
304399.417131486 = 1 / g_5
g4-g3
2364963.50364963 = beat(74619.9907876555,72337.575351641)
2364963.50364963 = beat(74619.9907876555,72337.575351641)
2384110.34604552 = beat(74626.0277273697,72361.0252351259)
La2011 Table 6 & La2004a
74619.9907876555 = 1 / g_3 = 360*60*60/17.368
72337.575351641 = 1 / g_4 = 360*60*60/17.916
La2011 Table 6 La2010a
74619.9907876555 = 1 / g_3 = 360*60*60/17.368
72337.575351641 = 1 / g_4 = 360*60*60/17.916
La2011 Table 5
74626.0277273697 = 1 / g_3
72361.0252351259 = 1 / g_4
This is all conventional-mainstream stuff – widely- & well-known.
for anyone deep-diving the history
Berger 1978
412885
2035441
Berger-Loutre 1991
404178
2379077
source: Table 1 p.114 (pdf p.8)
Here’s a fantastic example relating the different sets of parameters – note that Seidelmann’s (1992) parameters hit an exact match:
supplementary
68753.3156498674 = 1 / s_3 = 360*60*60/-18.85
68760.6112054329 = 1 / s_3 = 360*60*60/-18.848
–
A very helpful paper:
Hinnov, Linda 2013. Cyclostratigraphy and its revolutionizing applications in the earth and planetary sciences.
TB: see Table 1, note “g2-g5” under “orbital eccentricity”
Paul V, thanks for the notes and links. I admit I don’t have this stuff commited to memory. I still don’t get why the beat period of g_2 and g-5 tells us anything, but I’ll leave that for now.
A quick comment (lengthy reading following the many links; but interesting)
Gail Combs says: May 26, 2014 at 11:35 am asks a very particular question: “So the question becomes what else kicks the earth into glaciation?”
That’s easy. An obliquity swing to ‘very low’. (Remember Dodwell changed the goalposts). And to a high, with large polar masses (Iz becoming larger than Ix Iy), fast ice melt.
There is something else I question. But – caveat- I may need to be corrected; too rusty on the maths.
Eccentricity is dictated by planetary influences (?). However obliquity may be intrinsic to planet, though maybe change is extraneously triggered. The third, precession, depends on obliquity, in that an abrupt change in obliquity triggers a precession change in both frequency and phase.
Secondly, the extreme changes to the geology don’t seem to feature. If looking at cycles of near 1/2M years, there were very big geologic changes.
See video below at 04:30 , the Sahara was an open sea.
OldmanK, changes in eccentricity are accompanied by changes in inclination of the orbital plane relative to the invariant plane (roughly the plane through the centres of the Sun and Jupiter). I suspect obliquity will then be affected too, due to a gyroscopic effect imposed mainly by Jupiter. The clue is in the 3:1 whole number ratio between the 41kyr obliquity period and the 124kyr eccentricity period.
Hydrologic Luna: Sea Atmosphere Rock River
data
moderators:
filter caught 28 dayspacing
backstory:
I had noticed that the weekend deluge was exactly 5 lunar months after the 4 day heat wave.
It next occurred to me that autumn hiking trail washouts had been about a month apart.
These events were of a notably discrete nature (intense, short duration) — thus easy to recall distinctly.
something in response to TB’s last comment – recall
Cuk, M. – excitation of lunar eccentricity by planetary resonances
explores Jovian evection resonance, resonance with Venus – seminar video:
“This guy isn’t like climate modelers bluffing about the extent of what’s known. He’s upfront, clear, & honest about what’s not known.”
Paul, good reminder. I did watch that video at the time, and should watch it again when I have bandwidth.
Reblogged this on muunyayo .
a little elaboration on the last graph
more discrete than usual switch in weather here this year from summer drought to wet fall
flips like switch every year but difference this year:
events were discrete sharp impulses
from memory – some of it sharp – and some of it vague I began suspecting lunar scheduling
figured out some exact dates from recall – then got data and verified others
events considered as a set were more powerful than usual – on lunar schedule
resonance appears to have played powerful role that should not be ignored – work to be done (governments, universities, etc.) – e.g. discerning combinations of other factors permitting such circulatory expression – a problem too challenging for most, but even assuming CO2 problems are far worse than UN & MSM say, there’s crucial work (needed for infrastructure resilience planning etc.) demanding exceptional awareness of circulatory topology and good programming skill
better rightly said than left silent, but this message is written for very few people
“405 kyr Jupiter-Venus driven Earth eccentricity cycle linked to paleoclimatic variation
Posted: July 10, 2019 by tallbloke”
seems like forever ago
“assigned a 412.885- ky periodicity based on a now-legacy analytical astronomical solution, BRE74/BER78 (6, 7). Since the 1990s, there have been dozens of reports for strong 405-ky scale cycles in stratigraphic sequences from around the world that appear to bear out this astronomical calculation […]”
nominal “400ka” review
interpretive note: the high-frequency is calendar-month aliasing from the online calculator set up by insolation authors – tracking the max day gives a smooth curve
watching the Cuk seminar video pay attention to his commentary about:
tide-modelling on earth (with specific attention to geography)
tidal dissipation – 95% versus “naive” (tidal-bulge) conception
he mentions plates, but doesn’t talk about circulatory reorganization
(ocean-wise our best teacher on that was Bill Illis)
raising question, but not expecting public alphabet answers:
which climate models (secret or otherwise) include tides well enough for sam, enso, nam, do, etc.?
Paul V, thanks, in the hurley burley of running the Yorkshire region general election campaign, I forgot all about making that post. Food for thought.
Dear Friends,
Weather IT left & right.
“nothing stands between us hear” — “Possession”
NASA “factsheet” sidereal fits with Seidelmann (1992) tropical
24833.7230131724 = beat(0.61519780971937,0.61518257)
26449.9240047265 = beat(1.00001642710472,0.99997862)
25691.7257904301 = beat(1.88084873374401,1.88071105)
25771.8797028462 = beat(11.8619822039699,11.85652502)
25780.5804579468 = beat(29.4571389459274,29.42351935)
26586.2998478743 = beat(84.0120465434634,83.74740682)
25326.0015186278 = beat(164.788501026694,163.7232045)
25764.8962196266 = harmean
Seidelmann (1992) Keplerian sidereal with Seidelmann (1992) tropical
25763.987503107 = beat(1.00001743371442,0.99997862)
NASA “factsheet” sidereal fit with NASA “factsheet” tropical
25762.0064305964 = beat(11.8619822039699,11.8565229295003)
NASA “Mirrorball”
Seidelmann (1992) Keplerian sidereal with Seidelmann (1992) tropical
25811.3691836373 = beat(0.240846697327135,0.24084445)
25757.05496809 = beat(0.615197263396975,0.61518257)
25763.987503107 = beat(1.00001743371442,0.99997862)
25902.4692609995 = beat(1.88084761346252,1.88071105)
26114.2236547808 = beat(84.016845922161,83.74740682)
25259.6956047041 = beat(164.791315640078,163.7232045)
25765.5344057459 = harmean
“another day of knowing“ – SM – “cashew sew herd”
Given some of the (unexpected) confusion that surfaced in discussion, I’m going to post some basic calculations (next day or 2).
Basics — Part I
translation from angles
http://www.scholarpedia.org/article/Stability_of_the_solar_system
to periods:
______
La2011 Table 6 La2004a
231842.576028623 = 1 / g_1 = 360*60*60/5.59
173913.043478261 = 1 / g_2 = 360*60*60/7.452
74619.9907876555 = 1 / g_3 = 360*60*60/17.368
72337.575351641 = 1 / g_4 = 360*60*60/17.916
304407.424910486 = 1 / g_5 = 360*60*60/4.257452
45884.2272968667 = 1 / g_6 = 360*60*60/28.245
419695.778851413 = 1 / g_7 = 360*60*60/3.087951
1925645.70793482 = 1 / g_8 = 360*60*60/0.673021
3703492.02720466 = 1 / g_9 = 360*60*60/-0.34994
231842.576028623 = 1 / s_1 = 360*60*60/-5.59
183829.787234043 = 1 / s_2 = 360*60*60/-7.05
68753.3156498674 = 1 / s_3 = 360*60*60/-18.85
72993.5229512813 = 1 / s_4 = 360*60*60/-17.755
49188.0648348793 = 1 / s_6 = 360*60*60/-26.347855
433078.958481195 = 1 / s_7 = 360*60*60/-2.9925259
1873547.13358854 = 1 / s_8 = 360*60*60/-0.691736
3703068.74678553 = 1 / s_9 = 360*60*60/-0.34998
______
La2011 Table 6 La2010a
231842.576028623 = 1 / g_1 = 360*60*60/5.59
173889.708842077 = 1 / g_2 = 360*60*60/7.453
74619.9907876555 = 1 / g_3 = 360*60*60/17.368
72337.575351641 = 1 / g_4 = 360*60*60/17.916
304405.279928371 = 1 / g_5 = 360*60*60/4.257482
45884.3897482377 = 1 / g_6 = 360*60*60/28.2449
419696.458422524 = 1 / g_7 = 360*60*60/3.087946
1925651.43034595 = 1 / g_8 = 360*60*60/0.673019
3702116.71951324 = 1 / g_9 = 360*60*60/-0.35007
231016.042780749 = 1 / s_1 = 360*60*60/-5.61
183569.40509915 = 1 / s_2 = 360*60*60/-7.06
68760.6112054329 = 1 / s_3 = 360*60*60/-18.848
73009.9712692243 = 1 / s_4 = 360*60*60/-17.751
49188.090971097 = 1 / s_6 = 360*60*60/-26.347841
433078.972953216 = 1 / s_7 = 360*60*60/-2.9925258
1873536.29976581 = 1 / s_8 = 360*60*60/-0.69174
3702857.14285714 = 1 / s_9 = 360*60*60/-0.35
______
La2011 Table 5
232283.957100594 = 1 / g_1
173804.240903943 = 1 / g_2
74626.0277273697 = 1 / g_3
72361.0252351259 = 1 / g_4
304399.417131486 = 1 / g_5
Basics — Part II
combinations of part I pieces
Basics — Part II — La2011 Table 6 La2004a
–
18954.7215653296 = axial(72337.575351641,25685)
19107.8673985264 = axial(74619.9907876555,25685)
22379.7610632674 = axial(173913.043478261,25685)
23123.257932709 = axial(231842.576028623,25685)
23686.4105892345 = axial(304407.424910486,25685)
–
405691.196375825 = beat(304407.424910486,173913.043478261)
22379.7610632674 = axial(405691.196375825,23686.4105892345)
23686.4105892345 = beat(405691.196375825,22379.7610632674)
–
2364963.50364963 = beat(74619.9907876555,72337.575351641)
18954.7215653296 = axial(2364963.50364963,19107.8673985264)
19107.8673985264 = beat(2364963.50364963,18954.7215653296)
–
94885.6349884336 = beat(304407.424910486,72337.575351641)
98851.7032239995 = beat(304407.424910486,74619.9907876555)
123853.211009174 = beat(173913.043478261,72337.575351641)
130697.862041146 = beat(173913.043478261,74619.9907876555)
—
94885.6349884336 = beat(23686.4105892345,18954.7215653296)
98851.7032239994 = beat(23686.4105892345,19107.8673985264)
123853.211009174 = beat(22379.7610632674,18954.7215653296)
130697.862041146 = beat(22379.7610632674,19107.8673985264)
405691.196375825 = beat(23686.4105892345,22379.7610632674)
2364963.50364959 = beat(19107.8673985264,18954.7215653296)
–
28885.0726711513 = beat(231842.576028623,25685)
29856.6153692987 = beat(183829.787234043,25685)
39630.0395794302 = beat(72993.5229512813,25685)
41002.9713449516 = beat(68753.3156498674,25685)
41726.4103344458 = beat(2364963.50364963,41002.9713449516)
53754.4977286943 = beat(49188.0648348793,25685)
Basics — Part II — La2011 Table 6 La2010a
–
18954.7215653296 = axial(72337.575351641,25685)
19107.8673985264 = axial(74619.9907876555,25685)
22379.3746087485 = axial(173889.708842077,25685)
23123.257932709 = axial(231842.576028623,25685)
23686.3976020646 = axial(304405.279928371,25685)
–
405568.048748278 = beat(304405.279928371,173889.708842077)
22379.3746087485 = axial(405568.048748278,23686.3976020646)
23686.3976020646 = beat(405568.048748278,22379.3746087485)
–
2364963.50364963 = beat(74619.9907876555,72337.575351641)
18954.7215653296 = axial(2364963.50364963,19107.8673985264)
19107.8673985264 = beat(2364963.50364963,18954.7215653296)
–
94885.8433982369 = beat(304405.279928371,72337.575351641)
98851.9294203326 = beat(304405.279928371,74619.9907876555)
123865.048265316 = beat(173889.708842077,72337.575351641)
130711.04387292 = beat(173889.708842077,74619.9907876555)
–
94885.8433982369 = beat(23686.3976020646,18954.7215653296)
98851.9294203326 = beat(23686.3976020646,19107.8673985264)
123865.048265316 = beat(22379.3746087485,18954.7215653296)
130711.04387292 = beat(22379.3746087485,19107.8673985264)
405568.048748277 = beat(23686.3976020646,22379.3746087485)
2364963.50364964 = beat(19107.8673985264,18954.7215653296)
–
28897.9541450021 = beat(231016.042780749,25685)
29863.4951755413 = beat(183569.40509915,25685)
39625.1928264671 = beat(73009.9712692243,25685)
41000.3769972924 = beat(68760.6112054329,25685)
41723.7236350429 = beat(2364963.50364963,41000.3769972924)
53754.4665144806 = beat(49188.090971097,25685)
Basics — Part II addendum
these belong in last group of last 2 comments:
40304.1903450548 = axial(2364963.50364963,41002.9713449516) —- La2011 Table 6 La2004a
40301.6836680027 = axial(2364963.50364963,41000.3769972924) —- La2011 Table 6 La2010a
Basics — Part II — La2011 Table 5
–
18956.3312608245 = axial(72361.0252351259,25685)
19108.2632249266 = axial(74626.0277273697,25685)
22377.9583670246 = axial(173804.240903943,25685)
23127.6410355152 = axial(232283.957100594,25685)
23686.3621038729 = axial(304399.417131486,25685)
–
405113.811661464 = beat(304399.417131486,173804.240903943)
22377.9583670246 = axial(405113.811661464,23686.3621038729)
23686.3621038729 = beat(405113.811661464,22377.9583670246)
–
2384110.34604552 = beat(74626.0277273697,72361.0252351259)
18956.3312608245 = axial(2384110.34604552,19108.2632249266)
19108.2632249266 = beat(2384110.34604552,18956.3312608245)
–
94926.7650262257 = beat(304399.417131486,72361.0252351259)
98863.1425160258 = beat(304399.417131486,74626.0277273697)
123977.271216256 = beat(173804.240903943,72361.0252351259)
130777.916695678 = beat(173804.240903943,74626.0277273697)
–
94926.7650262257 = beat(23686.3621038729,18956.3312608245)
98863.1425160258 = beat(23686.3621038729,19108.2632249266)
123977.271216256 = beat(22377.9583670246,18956.3312608245)
130777.916695678 = beat(22377.9583670246,19108.2632249266)
405113.811661464 = beat(23686.3621038729,22377.9583670246)
2384110.34604549 = beat(19108.2632249266,18956.3312608245)
–
no node periods in La2011 Table 5, so no obliquity periods
Basics — Part III
for comparison
“Figure 2. Earth’s orbital parameters from the La2010d astronomical solution […] (A) The orbital eccentricity variation, 0–10 Ma. (B) Periodogram of the orbital eccentricity variation shown in (A). (C) The orbital inclination variation relative to the invariable plane, 0–10 Ma (Note: Fig. 6 […] La2004 orbital inclination relative to the ecliptic plane). (D) Periodogram of the orbital inclination variation shown in (C). […]”
nodes
La2011 Table 6 La2004a
172849.434938392 = beat(68753.3156498674,49188.0648348793)
121064.922933209 = beat(183829.787234043,72993.5229512813)
1183561.64383561 = beat(72993.5229512813,68753.3156498674)
109849.126970673 = beat(183829.787234043,68760.6112054329)
106535.141800247 = beat(231842.576028623,72993.5229512813)
97752.3004978126 = beat(231842.576028623,68760.6112054329)
La2011 Table 6 La2010a
172803.663437665 = beat(68760.6112054329,49188.090971097)
121223.458984192 = beat(183569.40509915,73009.9712692243)
1181403.82862352 = beat(73009.9712692243,68760.6112054329)
109942.314217849 = beat(183569.40509915,68760.6112054329)
106745.737583395 = beat(231016.042780749,73009.9712692243)
97899.9848919776 = beat(231016.042780749,68760.6112054329)
Paul V. One of things I’m having difficulty understanding is why, when spectral analyses are ‘tuned’ to 405kyr, they’re still getting the 413kyr spike.
https://www.nature.com/articles/s41467-021-26396-4/figures/4
Perhaps 413 Might
Authors measured 14, 15.6, 19, 283 and perhaps misinterpreted.
Their “1/20” expectation might mislead some.
Suggested exercise: Compare errors for 405ka (3 variations) & 413ka.
Above: scroll over from the left to see whats in the far right column.
Summarizing
example derivation with “405ka” from La2011 Table 6 La2010a
20063.4370405509 = 1000*14/283*405.568048748278
22356.4012737567 = 1000*15.6/283*405.568048748278
27228.950269319 = 1000*19/283*405.568048748278
405568.048748278 = 1000*283/283*405.568048748278
18963.0189375615 = axial(2343934.78424214,19117.6857995821)
19117.6857995821 = axial(405568.048748278,20063.4370405509)
22356.4012737567
23660.6640257036 = beat(405568.048748278,22356.4012737567)
95511.1788089858 = beat(23660.6640257036,18963.0189375615)
99568.4148455754 = beat(23660.6640257036,19117.6857995821)
124932.830647464 = beat(27228.950269319,22356.4012737567)
131966.719080191 = beat(22356.4012737567,19117.6857995821)
2343934.78424214 = beat(131966.719080191,124932.830647464)
Stable peace and tranquility weather left and right (both puppets on inverted totalitarian strings).
15.6 panel bclearly above “1/18 misinterpretation”
Lunisolar 405ka
Review
2.36966735541038 = slip(0.999978614647502,0.0745030006844627)
9.0943796900619 = slip(2.36966735541038,0.499989307323751)
96.1613372617316 = slip(9.0943796900619,0.999978614647502)
0.0748024157783867 = axial(0.999978614647502,0.0808503463381246)
18.6129709123853 = beat(0.0748024157783867,0.0745030006844627)
8.84735293159855 = beat(0.0754402464065708,0.0748024157783867)
16.8627856518082 = beat(18.6129709123853,8.84735293159855)
179.333323110834 = slip(18.6129709123853,8.84735293159855)
491.132481334807 = slip(179.333323110834,16.8627856518082)
245.566240667403 = 491.132481334807 / 2
207.340632664648 = beat(179.333323110834,96.1613372617316)
103.670316332324 = 207.340632664648 / 2
245.715087562547 = beat(179.333323110834,103.670316332324)
65.693651051301 = axial(179.333323110834,103.670316332324)
131.387302102602 = harmean(179.333323110834,103.670316332324)
405378.494928687 = beat(245.715087562547,245.566240667403)
Summarizing avg(abs(%error))
La2011 Table 6 La2004a 0.436500056654335
La2011 Table 6 La2010a 0.431261617506748
La2011 Table 5 0.492910413751669
Berger 1978 2.03204009768186
Overall lunisolar gives the best fit.
Too much sediment – tide too – inverted totalitarian (IT) strings weather left or right no doubt.
Turn IT a round(too,sea?) what measurements models simply predict:
supplementary (to facilitate model-ratio summary checks)
La2011 Table 6 La2004a
27315.5714207149 = beat(123853.211009174,22379.7610632674)
20052.3224982472 = beat(405691.196375825,19107.8673985264)
La2011 Table 6 La2010a
27314.4200179513 = beat(123865.048265316,22379.3746087485)
20052.6234539743 = beat(405568.048748278,19107.8673985264)
La2011 Table 5
27306.8600163833 = beat(123977.271216256,22377.9583670246)
20054.1711916695 = beat(405113.811661464,19108.2632249266)
Berger 1978
27414.8164054368 = beat(123297,22428)
20086.8924770782 = beat(412885,19155)
–
oldmanK: do sensible assumptions underlie the smooth obliquity curve in ref. 25?
curious to hear your perspective on that
Persistent Stability
20054.0598197937 = 1000*14/283*405.378494928687
22345.9523706273 = 1000*15.6/283*405.378494928687
27216.2240411486 = 1000*19/283*405.378494928687
405378.494928687 = 1000*283/283*405.378494928687
18954.1560286571 = axial(2342839.27932606,19108.7506026991)
19108.7506026991 = axial(405378.494928687,20054.0598197937)
22345.9523706273 = 1000*15.6/283*405.378494928687
23649.6055380984 = beat(405378.494928687,22345.9523706273)
95466.5389296544 = beat(23649.6055380984,18954.1560286571)
99521.8787010176 = beat(23649.6055380984,19108.7506026991)
124874.439718211 = beat(27216.2240411486,22345.9523706273)
131905.040662135 = beat(22345.9523706273,19108.7506026991)
2342839.27932606 = beat(131905.040662135,124874.439718211)
“Astronomical” 23ka
23092.5537318837 = harmean(27216.2240411486,20054.0598197937)
Jupiter
Seidelmann (1992) Keplerian sidereal with Seidelmann (1992) tropical
23094.6280196825 = beat(11.8626151546089,11.85652502)
NASA “factsheet” sidereal fit with NASA “factsheet” tropical
25762.0064305964 = beat(11.8619822039699,11.8565229295003)
combinations
223051.949854934 = beat(25762.0064305964,23094.6280196825)
20927.7815496935 = axial(223051.949854934,23094.6280196825)
111525.974927467 = beat(25762.0064305964,20927.7815496935)
compare with
Earth
25760.4349434063 = beat(1.00001743371442,0.999978614647502)
20934.9357937308 = beat(1.00002638193018,0.999978614647502)
111759.01908408 = beat(1.00002638193018,1.00001743371442)
111759.01908408 = beat(25760.4349434063,20934.9357937308)
23098.3518513919 = harmean(25760.4349434063,20934.9357937308)
panel b cryptic
17.5545112781955 = 405378.494928687 / 23092.5537318837
ally no.
16.0927294142842 = 282.5 / 17.5545112781955
16.1212121212122 = 283 / 17.5545112781955 ——- (16,16)
16.1496948281401 = 283.5 / 17.5545112781955
label less
16.67 = 1 / 0.060
16.39 = 1 / 0.061
16.13 = 1 / 0.062
15.87 = 1 / 0.063
21466.317553582 = harmean(23092.5537318837,20054.0598197937)
24985.3860049889 = harmean(27216.2240411486,23092.5537318837)
g_5 ~= difference of frequency midpoints (& from there estimate other g_i)
304821.709260864 = beat(23092.5537318837,21466.317553582)
304821.709260864 = beat(24985.3860049889,23092.5537318837)
Paul Vaughan says: November 24, 2021 at 5:29 am; asked “oldmanK: do sensible assumptions underlie the smooth obliquity curve in ref. 25? curious to hear your perspective on that”.
If the reference is to ‘Supplementary Fig 9 e’, to what looks like the extrapolated obliquity curve, it looks like the old secular ‘thing’. There is much in the material that I do not understand, nor familiar with techniques being used. Eg the scale for obliquity from -1 to 1 centred on 0.023 – ?? I would hazard a guess it is a formula-extrapolated obliquity curve. If that is so, it is the secular only. A second point I question is that, afaik from some research of mine some years ago, there is not a formula that can be relied on beyond 1My.
See also https://www.researchgate.net/publication/229033144_Report_of_the_International_Astronomical_Union_Division_I_Working_Group_on_Precession_and_the_Ecliptic
extract: “The effect of these changes on the higher-order terms in
the precession theory was ignored. Ignoring the higher-order terms results
in an error in the precession of about 6.4 mas cent−2in longitude and
0.01 mas cent−2in obliquity. Thus, the precession theory was not consistent
with dynamical theory”
A second point in the paper fig 2 shows geological stratifications that indicate abrupt geologic changes. Of importance is what triggers the abrupt change. Nothing ‘uniformitarian’ there, so the slow orbital change is not the culprit, though a possible enabler.
[compare to changes at a much shorter period. Link https://melitamegalithic.wordpress.com/2018/04/24/searching-evidence-2/ The link compares Med sediment analysis to North Atlantic ice rafting. The period is over the last 10kyrs. Both separately dated, and the dates correlate to other proxies, plus a clear indication of an obliquity jump in the secular mean (today’s 23) found from archaeology.]
An incidental piece: the exposed face in fig2 appears to be a major scarp fault. A major scarp fault found 10days ago explains the odd orientation of an archaeological artifact, thus both dated to 5200bce. See similar here http://tectonic-culture.blogspot.com/2017/08/bronze-age-faulting-at-mycenae-greece.html
The paper links its research to ‘Climate’. The apparent dominant factor there is not eccentricity, nor precession, but obliquity, on time-scales of ~0.5kyr.
oldmanK, clarification — TB & OB pointed back to ~465 Ma:
Middle Ordovician astrochronology decouples asteroid breakup from glacially-induced biotic radiations (“Published: 05 November 2021”)
Reference 25 in that paper is:
Waltham, D. Milankovitch period uncertainties and their impact on cyclostratigraphy. J. Sediment. Res. 85, 990–998 (2015).
“oldmanK: do sensible assumptions underlie the smooth obliquity curve in ref. 25?
curious to hear your perspective on that”
PV thank you for the clarification. A most welcome read.
If you are referring the unnumbered figure ‘Obliquity versus Earth-Moon separation’, in my view it is wrong.
The paper dates from 2015. Had they looked at Dodwell’s theory – and RR Newton – they might have considered also the possibility of abrupt jumps. (I was facing that dilemma in 2015, based on other evidence).
In the abstract, important points re “observed sedimentary cycles”, that “(i) they drift through time; (ii) they overlap;” mentioned in connection to “eccentricity, obliquity and climate-precession”. My finding in archaeology on the subject I was researching, were evident obliquity jumps, three in a period of 3kyrs, last in 2345bce (Dodwell date) none evident since from measurements.
An obliquity jump -for whatever reason- incurs also a precession phase shift, forward or backwards depending on the obliquity move (increase or decrease [not respectively]). Such would account for an observed drift as well as an overlap.
Caution: my observed obliquity jumps are limited to dates 5200bce -2200bce. None appear to have happened since. But before 5200bce is unknown, in that there may have been long periods of no changes except for the small secular. Obliquity may be stable throughout a glacial period, until destabilised resulting in fast melt/interglacial, however that is a speculative point.
Take Route 25…
…CO[$]weather divide∫inequality.
IT$ ‘west earn’ continent$seas buy or[well]$ease.
CO[bane] UK=cross11UNdone seizeIT$not “$0 Great!” BRI10.
can’t hear audience in seminar video, but
at one moment Cuk responds dismissively – something like
“quadrupole term?? NO, continents are in the way”
The (ridiculous) assumptions underling ref. 25 curves are shamelessly unimaginative.
980 = a(12) + 323
360 = a(12) – a(11) = 9*40 = σ(323)
180 = a(11) – a(10) = 5*36, etc. climb IT
! 1/2 prime + square
323 = 196883 – 196560
CO[$] for celebration no doubt…
moleUN CO[V]ITch UNcertain Teaseveral $smooth curves$
UNtug$pent “Time C ode” in hindsight rev verse sell:
“in ch buy in ch$$ITback’nwat??chITgo” — Sloan
√25 s at 131 k
D-vote quad drew
dr.owe poll term
weather deluge
yuan-nil or DO lose
UN no.11 ref. 25 with
~NO diss APace yuan
“hi T!
roc bought ’em?
NObuddy nos. whatIT$SSTand$for”
tropiCO[II] ‘phase’: “when IT comes ‘down’ […] go write ‘out’ […] Till ITmean$more”
Map 11 reins$
buys$smooth$curve$,
call$IT$self “nature”
“ad MIT ‘too your$self’ ” (better rightly$aid than left silent) weatherIT$myth or math$seaCO[NO]ME
oldmanK, have you noticed the date (and estimated error bounds) in OB’s comment?
PV no I had not yet seen that post. Interesting, however it is one of, now, many. In this particular case, if one allows some delay, -just a couple of years-, for stalagmite deposition, it would be near to 2345bce. Both Dodwell, as well as the early tree-ring identified by Dr M Baillie, – and evident in the C14 isotope IntCal13,,,, (plus the interesting planetary alignment at 2348bce +/-x ), much food for thought.
But go to my link above ( https://melitamegalithic.wordpress.com/2018/04/24/searching-evidence-2/ ), now those seem to tell what the spikes in the C/N ratio are. It is near to an Eddy cycle root. The 980yr cycle inflection points appear to be points of transition.
An earlier root is at 3200bce, corresponding to a sapropel (organic) layer in the Med in between the normal clayey deposits. Question: what washed that thick deposit? There is no growth before or after, all inert clay. ( If you recall my mention of the earlier spike at 3550bce (5500BP) when the Sahara abruptly dried in less than a century. Eddy peak at ~3700).
If anyone want to read something for the weekend, here, re an earlier Eddy root the 8k2 event 6150bce, the sinking of Doggerland.
https://www.researchgate.net/publication/228652380_Oasis_or_Mirage_Assessing_the_Role_of_Abrupt_Climate_Change_in_the_Prehistory_of_the_Southern_Levant
Or https://www.preprints.org/manuscript/201902.0063/v1
“Rapid, prominent events observed in both continental and marine palaeo-archives during glacial
periods are also evident during the Holocene, although less pronounced. This persistent rapid
variability is suggested to be in response to an internal rhythmic throbbing of the climatic system
at centennial scales [141]. In the scope of this review, three reference Holocene events are reviewed: ca. 8200 years BP (referred to here as the 8.2 ka event), ca. 4200 years BP (4.2 ka event) and ca. 700 years BP (0.7 ka or LIA). These events are concomitant with major glacier advances in the Northern Hemisphere [32,142] (Figure 6B).”
Review
“Significance
Rhythmic climate cycles […] recorded in sedimentary archives […] empirical confirmation that the unimodal 405-kiloyear orbital eccentricity cycle reliably paces Earth’s climate back to at least 215 million years ago […]”
Empirical evidence for stability of the 405-kiloyear Jupiter–Venus eccentricity cycle over hundreds of millions of years
“Gravity of Jupiter and Venus elongates Earth’s orbit every 405,000 years – study
Posted: May 8, 2018 by oldbrew”
Astronomical metronome of geological consequence Linda A. Hinnov
‘The Earth’s orbit approximates an ellipse. Eccentricity measures the departure of this ellipse from circularity. The shape of the Earth’s orbit varies between nearly circular (with the lowest eccentricity of 0.000055) and mildly elliptical (highest eccentricity of 0.0679).[4] Its geometric or logarithmic mean is 0.0019. The major component of these variations occurs with a period of 413,000 years (eccentricity variation of ±0.012). Other components have 95,000-year and 125,000-year cycles (with a beat period of 400,000 years). They loosely combine into a 100,000-year cycle (variation of −0.03 to +0.02).’
‘Eccentricity varies primarily due to the gravitational pull of Jupiter and Saturn.’
https://en.m.wikipedia.org/wiki/Milankovitch_cycles
– – –
‘Eccentricity has two main periodicities, one cycle with an average of ~100,000 years and a longer cycle with a periodicity of ~413,000 years.’
https://www.nature.com/scitable/knowledge/library/milankovitch-cycles-paleoclimatic-change-and-hominin-evolution-68244581/
Is it Jupiter-Venus or Jupiter-Saturn? Or both?
Whether its 405k or 413k it is equivalent to about four glacial cycles. What is of concern is of far more shorter periods. Nearer 1k.
From an ‘academic’ point of view, and going by mass-distance factor, it is Jupiter and Venus mainly. But then the mass-distance factor would add also the moon; and the latter already had a bad reputation with the ancients.
Pea and Shell Game
Wikipedia’s “413,000 years” is “calculated from Berger (1978)” (see Berger 2006). This is at the very end of a Berger 2006 article …but keep an eye on Berger 1991 …if your caught in that game.
There needn’t be any confusion about the 2 models. They are clearly defined by their authors. (Just look at the tables in the articles.)
~465 Ma: fits 405 ka model, but NOT Berger (1978) …as I detailed above.
The question rightly left: Did ~465 Ma authors (understand correctly and) misrepresent or simply misinterpret? (neither crave nor need an answer)
Pea & Shell Game – part 2
OB’s 2nd link trail leads here. The author does NOT specify the model …but anyone keeping track of the movement of the pea under the shells knows it’s the Berger (1978) model.
Suggestion – again – make it this simple: do the calculations for each model, compare, contrast, and benefit from awareness thus derived. Lots of climate commentators (whether consciously or not) mix numbers derived from disparate models. Weather it’s hoodwink or ignorance YOU will know …silently with no need to debate the agents of inverted totalitarianism.
oldmanK wrote: “Whether its 405k or 413k […] What is of concern is of far more shorter periods. Nearer 1k.”
6000 year cycle launched from LIA, yet there’s (curiously and suspiciously) a monstrous obfuscation campaign burying that crucial point with “solar” discourse (“solar” being misinterpretation).
I have a tendency to assume everyone has memorized things we already discussed. Just trying to be practical, not naive — and to avoid repeating, but maybe a few things will need to be repeated (e.g. what we already know about how g_2,3,4,5,6 & s_2,3,4,6 relate to one another in a collective sense).
pea & shell games part 3
Typo alert — note in 1991 Table 1
“2035441″
but in the original 1978 publication
“2305441″
Are you watching the pea? Note what a few shells from the original publication reveal:
2030644.02234637 = beat(19155,18976)
2035645.32831001 = beat(99590,94945)
Another important typo.
Remember the Seidelmann typo (that propagated into a bunch of books)?
Missed herd what type O’Berger catch op?
(maybe they do this stuff on purpose – not ruling out the possibility…)
pea & shell games part 3+
2035779.79276929 = beat(75259,72576)
eu11oweBRI˚K CRowed: ‘why$airdavo$?’
could 2305441 B-the-ant? ‘$sure!’
18976.4179210901 = axial(2035441,19155)
19154.5741760953 = beat(2035441,18976)
94944.5554607872 = axial(2035441,99590)
99590.4891043321 = beat(2035441,94945)
Typo discovery triggered opportunistic, enhanced scrutiny of Berger 1978.
An early highlight is that the “2.4 Ma” metronome is missing:
1282622.04724409 = beat(41000,39730)
2565244.09448819 = 2 * 1282622.04724409
2565244 ≠ 2035441
1282621.27286703 = beat(72732,68829)
2565242.54573405 = 2 * 1282621.27286703
2565243 ≠ 2035441
For convenience – summaries based on Berger 1978:
Berger 1988 Table 4 (planets) p.635 (pdf p.11) & Table 3 (Milankovitch) p.634 (pdf p.10)
Check this (which is review) :
36750 ~= 8 / (g_2 + 5*(g_3 + g_4) + g_6 + s_2 + s_3 + s_4 + s_6)
La2004: 36750.3379015986
La2010: 36749.7014379182
Berger: 37209.6176613942 = piece of “413 ka package deal”; pleases 490, 735, 980, & 1470 fans?
explore everything in parallel
no need to pick a favorite
just learn to recognize which narrative is using what model, know the properties of each model
this was a (worthwhile) side-trail (but now behind schedule)
Basics — Part IV — Berger 1978 (references in links give deeper historical sources)
This is to help make it easy to compare models (a few loose ends have been left – managing time).
Table 4
25694 = 1 / k
249275 = 1 / g_1
176420 = 1 / g_2
75259 = 1 / g_3
72576 = 1 / g_4
308043 = 1 / g_5
49434 = 1 / g_6
422814 = 1 / g_7
1940518 = 1 / g_8
230977 = 1 / s_1
191404 = 1 / s_2
68829 = 1 / s_3
72732 = 1 / s_4
49339 = 1 / s_6
432023 = 1 / s_7
1874374 = 1 / s_8
18976 = axial(72576,25694)
19155 = axial(75259,25694)
22428 = axial(176420,25694)
23293 = axial(249275,25694)
23716 = axial(308043,25694)
–
412883 = beat(308043,176420) — 412885 (supplementary below)
22428 = axial(412885,23716)
23716 = beat(412885,22428)
–
2035780 = beat(75259,72576) — 2035441
18976 = axial(2035441,19155)
19155 = beat(2035441,18976)
–
94945 = beat(308043,72576)
99590 = beat(308043,75259)
123299 = beat(176420,72576) — 123297
131248 = beat(176420,75259)
–
94944 = beat(23716,18976) — 94945
99601 = beat(23716,19155) — 99590
123289 = beat(22428,18976) — 123297
131258 = beat(22428,19155) — 131248
412968 = beat(23716,22428) — 412885
2030644 = beat(19155,18976) — 2035441
–
28910 = beat(230977,25694)
29678 = beat(191404,25694) —
39729 = beat(72732,25694) — 39730
40999 = beat(68829,25694) — 41000
41843 = beat(2035441,41000) —
40190 = axial(2035441,41000) —
53615 = beat(49339,25694)
_____
nodes
174241 = beat(68829,49339) — “173k”
117308 = beat(191404,72732) — “121k”
1282621 = beat(72732,68829) — “118k”
107478 = beat(191404,68829) — “110k”
106161 = beat(230977,72732) — “107k”
98046 = beat(230977,68829) — “98k”
_____________
supplementary — Table 3
eccentricity: 18976, 19155, 22428, 23716, 94945, 99590, 123297, 131248, 412885, 2035441
obliquity: 28910, 39730, 40521, 41000, 53615
Check: 2*(g_4 – g_3) ~= s_3 – s_4 metronome
La2004
2364963.50364963 = beat(74619.9907876555,72337.575351641)
1182481.75182481 = 2364963.50364963 / 2 ~=
1183561.64383561 = beat(72993.5229512813,68753.3156498674)
La2010
2364963.50364963 = beat(74619.9907876555,72337.575351641)
1182481.75182481 = 2364963.50364963 / 2 ~=
1181403.82862352 = beat(73009.9712692243,68760.6112054329)
Berger
2035779.79276929 = beat(75259,72576)
1017889.89638464 = 2035779.79276929 / 2 ≠
1282621.27286703 = beat(72732,68829)
Re Berger-1988Rev-Geophys.pdf from above link https://www.researchgate.net/profile/Andre-Berger-2/publication/230890888_Milankovitch_Theory_and_Climate/links/5c3c6b3e92851c22a3737068/Milankovitch-Theory-and-Climate.pdf
What is the curve for ’tilt’ in fig 11 based upon? At least, here, the time span was limited to within one million years.
(Am presently collating of ancient writing referring to ‘permanent disturbances of the stars’. It is the only explanation that might account for the abrupt occurrences of interstadials. Also what mechanism controls the thermal energy needed for such fast glacial melt [to note: it takes 334J to melt a gram of ice but 4.186J to raise it by 1 degree.])
Sustained, heavy, warm rain (from a tropical source).
First-hand in real life that’s by far the quickest way deep snow goes (sun alone takes far longer).
In a few hours strong winds rip up (local lingo) “rotten” ice, “rotted” by warm rain.
Doing my first multivariate factor analysis on climate data way back whenever I remember how clearly the temperature and precipitation variables separated.
Based on how bad online “climate” discourse was on other sites years ago I got the impression most of the commentators live in places where there is no water (never mind snow and ice). Contrasting perspective: repeatedly (dozens of times per year for decades) seeing hose relentlessly spraying warm equatorial (ocean-sourced) water poleward (& landward).
The maps of diurnal temperature amplitude (above) may also be maps of climate-tribe water-communication breakdown. It seemed to me most commentators never conceived of local insolation and (outsourced) water-blasting following different curves. First-hand observation: tropical water cannon = fast ice sculptor (…& soil sculptor too).
Locally here this year we have a persistent lunar hydrology schedule.
begins with first spring temperature uprising
28 days later: 4 day heat wave (made headlines)
42 days later rain interrupted drought
28 days later rain
14 days later heavy rain
28 days later heavy rain
14 days later rain
14 days later exceptionally heavy rain (made headlines)
14 days later heavy rain (happening now – i.e. pattern continuing since I graphed it above)
with a few other lesser-rains spaced 7 & 14 days in between
only lesser-rains weren’t (at least not as obviously) on the lunar schedule
media says nothing (except what you might well guess) = shallow discourse on important subject (natural hazards)
rightly left wondering about nature’s role in official inverted totalitarian “resilience planning”
moon’s a huge (& totally ignored) obvious signal presently — expecting academics to fully, totally, and clearly outline domains conducive (or not conducive) to such expression
(basic nonparametric anova sorting to date is insufficient if they can’t separate expressive from non-expressive domains — optics: not recruiting (&/or not empowering) sufficiently-exceptional talent)
if they dismiss it (or media-talk around it like “passing curiosity we ignore with an iron fist”), astute observers will have good reason to sideline them as delugeUNallyUNprepared to do their important job recognizing nature for a deserving public (fairness for their investments)
better rightly said than left silent
I sense that a deeper question in my earlier comment went unnoticed. PV answered as to the mechanism “Sustained, heavy, warm rain (from a tropical source)”.
But there may be a catch there. See link here https://nsidc.org/sites/nsidc.org/files/images//200901_Figure4.png
The times of max tropical insolation (times of max tropical evaporation), at spring equinox > ice is at peak; at autumn equinox > ice starts to grow again. At those points thermal energy transport to pole is lost to space, adding ice to the pole. The time when ice decreases is when there is more direct sunlight. [which is the correct way to see it since it obviates the need of an intermediate process].
Meaning that earth axial tilt matters. Meaning that today’s axial tilt is a little too much and would ultimately melt the poles.
oldmanK asked: “What is the curve for ’tilt’ in fig 11 based upon?”
model specification (weights, periods, phase) summarized in tables of earlier papers
obviously they’re not modelling the detailed stuff you notice (next-level on perceptual hierarchy) — just major generalities stratigraphically observed (leaving residuals for patient observers like you)
subject is too massive to pursue everything — requires capable team — narrowing individual focus as necessary now to manage time (NO time too 100% dissipate 465 Ma of lunar BS)
“Basics” review was side-tangent to sort muddled discourse (gets so ridiculous) conflating narratives & models (weather right or wrong, a well-designed D-light left for $sumNOwe doubt).
addessing misunderstanding (cross-posting) : response was to “fast glacial melt” (quoting oldmanK) – key word “glacial” interpreted as musing about glaciers (not sea ice) ; thus how commentary would have differed: thermal transport by gyre vs. atmospheric river (perhaps in geothermal ignorance)
I have floods of exploration to share, but whenever back-and-forth erupts nothing productive happens and the discourse slides backwards (compounding lost opportunities).
PV, engineering taught me that “nothing is as it appears to be”; the devil is in the detail. The two recent points I raised relate to the tilt curve. They are pointers, one of several, that tell that the curve is only a minor fluctuation and is not what dictates the big changes.
To flog the matter some (sorry), re ice, both sea ice and glacier require a massive amount of energy to change phase. There it is solar declination that appears to matter most, ie direct insolation. ‘Warm rain’ would have lost its ‘vapour latent heat – 2260J/gm’ to space (?) earlier; also an indication that insolation concentrated in tropical regions is mostly lost to space (ie at equinox the thermal engine appears to be still adding snow to the poles).
As I also mentioned above, the ancients spoke of stars changing their course, or that they underwent a declination or deviation (allowing for what is lost in translation). To borrow a phrase, Dragon King events.
Basics — Part V – simply
Berger 1988 Fig. 10 simplifies.
(a) climatic precession
23715.850630886 = axial(308043,25694)
(b) obliquity
2035779.79276929 = beat(75259,72576)
70223.1480968991 = axial(2035779.79276929,72732)
40519.831263679 = beat(70223.1480968991,25694)
(c) eccentricity
1282621.27286703 = beat(72732,68829)
76928.9576075447 = beat(1282621.27286703,72576)
102535.642763153 = beat(308043,76928.9576075447)
There is NO “2.4 Ma” metronome above, but there is in analogs below.
La2004
a
23686.4105892345 = axial(304407.424910486,25685)
b
2364963.50364963 = beat(74619.9907876555,72337.575351641)
70808.064251762 = axial(2364963.50364963,72993.5229512813)
40305.4438005169 = beat(70808.064251762,25685)
c
1183561.64383561 = beat(72993.5229512813,68753.3156498674)
77046.5489566613 = beat(1183561.64383561,72337.575351641)
103155.573568868 = beat(304407.424910486,77046.5489566613)
La2010
a
23686.3976020646 = axial(304405.279928371,25685)
b
2364963.50364963 = beat(74619.9907876555,72337.575351641)
70823.5422700694 = axial(2364963.50364963,73009.9712692243)
40300.4304463981 = beat(70823.5422700694,25685)
c
1181403.82862352 = beat(73009.9712692243,68760.6112054329)
77055.7108032582 = beat(1181403.82862352,72337.575351641)
103172.24399153 = beat(304405.279928371,77055.7108032582)
oldmanK, long ago we understood your concerns about model residuals — some of which are a monstrously much larger signal as you’ve repeatedly stressed.
armies of climate commentators repetitively write descriptive, phenomenological paragraphs
= unaffordable, unproductive time consumption
If you have a model of the residuals, please share it as concisely as you can.
No doubt some material puzzlers aim to lose boundary conditions constraining multivariate spatiotemporal pattern evolution.
(for source: review Tim Channon post from 2014)
Metronome Commentary
La2004 & La2010 don’t give exactly 2 times (close, but not exact).
Curiosity: Look how long the model suggests waiting to observe 1 slip.
1296000000.00196 = slip(2364963.50364963,1183561.64383561)
Compare the following with corresponding values in b above.
La2004
70809.9986340664 = harmean(72993.5229512813,68753.3156498674)
40304.8170630404 = beat(70809.9986340664,25685)
La2010
70821.6071477363 = harmean(73009.9712692243,68760.6112054329)
40301.0570474577 = beat(70821.6071477363,25685)
The frequency algebra reduces to the known metronome:
k-s_4-g_4+g_3 ~= k-s_3/2-s_4/2
2k-2s_4-2g_4+2g_3 ~= 2k-s_3-s_4
s_3-s_4 ~= 2g_4-2g_3
Berger 1978 analogs: same frequency algebra is vaguely suggested, but missing when checked.
70726.6948947803 = harmean(72732,68829)
40354.0517144827 = beat(70726.6948947803,25694)
Striking qualitative model property changes from Berger 1978 to La2011 Table 5 arouse curiosity about what other simple properties will eventually be noticed by explorers simply looking carefully.
COCOTune in nos.
B78: 410142.57105261 = 4 * 102535.642763153
L04: 412622.294275471 = 4 * 103155.573568868
L10: 412688.975966121 = 4 * 103172.24399153
Centerpiece
Centerpiece of article linked by OB & TB is the number 17 circled in red, alerting readers to ref. 25.
Press “$sure!”
Out of curiosity googled: lunar rain cycle
response:
“People also ask
Does the Moon cycle affect rain?
They found that when the Moon is high in the sky, it creates ‘bulges’ in Earth’s atmosphere that cause a slight change in precipitation levels. The higher air pressure created by each oscillation leads to an increase in temperature, and because warmer air can hold more moisture, that means less chance of rain.”
…and therefore more chance somewhere ELSE google?
What a ridiculous “climate discourse” we have.
The west has morphed into such a ridiculous joke (presumably a response to “The Party” pressure).
Such B*** S***
Shrewd folks note (from google’s FIRST “people also ask” search result) :
“As far as I know, this is the first study to convincingly connect the tidal force of the Moon with rainfall,” — 2016
Earth orientation parameter basics (effectively ancient knowledge now) :
“Apart from all other reasons, the parameters of the geoid depend on the distribution of water over the planetary surface.” – Nikolay Sidorenkov
What the **** is going on with the hydrology propaganda??? It’s not acceptable. Are we already subjects of “The Party“?
WESTERNERS: SHOW SOME BRAVERY (through official channels and legally).
Everyone who doesn’t have official authority: Please find peaceful ways to ensure the officials stop being official cowards. Beware tricks baiting you into bad behaviour. If you lack the needed tact, express yourself peacefully to someone with tact who is smart but not naive. Showing restraint is necessary. It’s the only way we’ll secure the right combination of good partners to do real good.
Prediction: Russia and the west will exhibit a temporary alliance to reveal a full solution to the problem (before things revert back to a normal stability).
1933 Muck-Clock Lune
based on diverse parameter sets – ⌊same⌉ :
110.812298918645 = harmean(163.723203285421,83.7474058863792)
110.812300014126 = harmean(163.7232045,83.74740682)
111.156022076987 = harmean(164.498657117277,83.9373297002712)
111.287690909751 = harmean(164.788501026694,84.0120465434634)
111.292543528394 = harmean(164.791315640078,84.016845922161)’
111.36267477478 = harmean(164.883685549933,84.0727720535526)
111.380010891351 = harmean(164.708162250495,84.1382639508332)
Good news: “mow’s = US” Johnson-time
index UN: harmonic mean
mount sign-comm.
and mean T
nigh tune 111
vortices off equatorial waveguide recently spaced ~5 every 60˚ — that’s lunar month
gaussian-smooth field — amenable to spatial wavelet animation (need money, team, & stability …otherwise this is as clear as the communication will ever get)
The two most important cycles are missing. Centennial solar minima, which occur at the first regular synodic harmony of Venus, Earth, Jupiter, and Uranus. And grand solar minima series, where a series of longer centennial minima occur at each half cycle of very stable 1726.62 years long synodic harmony of Venus, Earth, Jupiter, and Uranus. Which is on average every 863 (+/-20) years, e.g. from 2225 BC, 1365 BC, 500 BC, 350 AD, 1215 AD, and the next from around 2095 AD. More active series of solar periods occur at the same 863 (+/-20) year period.
Every fourth one at 3453 years is clearly visible in the Greenland GISP2 series.
If the planetary orbits were more circular, much of the variability of the intervals between centennial minima, and the variation in the lengths of centennial minima over the long cycle, would not occur.
If the 4627 year Jovian cycle were to repeat 25 times without slipping out of sync, it would reach a harmony with the 1726.62 year cycle, at 115,684 years, that’s purely speculative, but it is apparent in the last 800 kyr of glacial sequence in places.
Paul Vaughan says: November 29, 2021 at 7:09 pm asks “If you have a model of the residuals, please share it as concisely as you can.” ‘residuals’?? Can you pls clarify?
Here is something curious (belatedly). I was looking for something related to glacier ice growth/ablation. Came across this paper https://www.sciencedirect.com/science/article/abs/pii/S0277379114004776?via%3Dihub (from 2015 but is now free to download) and settled for figure 6 (proxy for glacier melt). Objective was to compare chronologically with dates obtained for apparent obliquity change from megalithic calendars plus as were evident in fig 4 here https://www.researchgate.net/publication/307704719_Glacier_response_to_North_Atlantic_climate_variability_during_the_Holocene
The particular dates are 2345bce; 3550bce 4375bce, plus 3200 and 5200bce. Figure6 was copied to Photoshop and markers added. The dates corresponded to inflection points. However in error I had marked dates in bce on datum BP, so I shifted curve by 1950 years, and they corresponded again though inverted. The dates appear to be some ‘pacing’ signal. As I realised later 1950 is approx twice Eddy cycle.
Seems the trigger for change may not be so erratic in timing.
33.3 ka
noticing tremendous equator & monsoon ignorance in online “climate discourse”
digging in cyclostratigraphy, paleoclimate literature back past 600 Ma
405 ka McLaughlin cycle reported in studies from all ages — but academic obliquity narratives leave a combination of curiosity, suspicion, & instinct to scrutinize fundamentally — first off:
33308.1817153554 = axial(103172.24399153,49188.090971097) — latter = saturn node period
Milankovitch Cycles, Paleoclimatic Change, and Hominin Evolution
Christopher J Campisano (2012)
https://www.nature.com/scitable/knowledge/library/milankovitch-cycles-paleoclimatic-change-and-hominin-evolution-68244581/
Animation 1: Earth’s orbital precession.
Courtesy of NASA.
Figure 3: Variations and schematic diagrams of Milankovitch cycles.
a, Precession and precessional index with a periodicity of ~23,000 years, with the amplitude of the cycles modulated at eccentricity periods of 100,000 years and 413,000 years (“variability packets”). b, The tilt of the Earth’s axis with a periodicity of 41,000 years. c, The eccentricity of the Earth’s orbit with periodicities of 100,000 and 413,000 years. d, Present position of the Earth in its orbit at different times of the year. e, Position of the Earth in its orbit at different times of year ~11,000 years in the future.
© 2012 Nature Education Graph reproduced from Kingston 2005, diagrams a–c reproduced from Lutgens & Tarbuck 2001, d–e reproduced from PhysicalGeography.net. All rights reserved.
Not curious & not surprising: “413,000 years” does not come from the sources at the given link. Perhaps NASA educators start with wikipedia (…and then list in their article the reference for 405 ka).
The “great” thing about 413 ka is that it gives none of the results OB showed us in the past about DO.
assumptions
ref. 25 plots smooth k assumptions
another example: Table 1 in stability of the astronomical frequencies over the earth’s history for paleoclimate studies
Paper for PV’s link is here https://www.academia.edu/2450804/Stability_of_the_astronomical_frequencies_over_the_earths_history_for_paleoclimate_studies
It asks a fundamental question: “But did orbital variations drive climatic oscillations in nonglacial times, as in the Cretaceous, which had no amplification from ice sheets?”
Orbital variations are slow to very slow. What is evident is abrupt change; and in much shorter time spans. The points at which glacier grow or melt is sudden, as evident in the last ~15k years. Not only evident in the proxies, but when they advance they cover growing flora that is preserved under the ice. That flora can be readily dated.
On a closer look at another version of the paper above, there’s a large gap between the ‘NASA animation’ heading and Figure 3, so the animation may be missing and the figure may not be from NASA?
Update — it’s not from NASA:
© 2012 Nature Education Graph reproduced from Kingston 2005, diagrams a–c reproduced from
Lutgens & Tarbuck 2001, d–e reproduced from PhysicalGeography.net. All rights reserved.
But this still leaves us with the 2021 paper that found a ‘significant’ 413 kyr period, for example.
See here: ‘https://tallbloke.wordpress.com/2021/10/30/orbital-resonance-and-the-celestial-origins-of-earths-climatic-changes-why-phi/comment-page-1/#comment-173347’
– – –
Forcing mechanism for intensive onset of the Northern Hemisphere
glaciations (NHG) at ~2.75 Ma (An et al., 1999; Cane and Molnar, 2001;
Haug et al., 2005; Lunt et al., 2008a; Nie et al., 2014; Raymo, 1994;
Shackleton and Al, 1984) is one outstanding question in paleoclimate
research. Numerous hypotheses have been proposed for this event but
no consensus has been reached after decades of studies. Here we aim
to narrow down forcing mechanisms hypotheses for this event by considering the Plio-Pleistocene 405-kyr (also called 400-kyr or 413-kyr) climatic variability.
‘https://ia803004.us.archive.org/25/items/mccl_10.1016_j.palaeo.2017.07.022/10.1016_j.palaeo.2017.07.022.pdf’
For reference…
Orbital control on the timing of oceanic anoxia in the Late Cretaceous (2016)
For the Livello Bonarelli from Furlo (124 cm), a duration estimate is obtained from 2 cm spaced XRF spectrometry data. The MTM spectral analyses of SiO2 yield dominant periodicities of ∼ 40, ∼ 12, and ∼ 6 cm (Fig. 3a). We calculate the ASM using the results of MTM harmonic analysis (> 80 %), and obtain an optimal sedimentation rate of 0.286 cm kyr−1 for the Bonarelli in Furlo. Hence, we interpret the reported periodicities as the imprint of short eccentricity, obliquity, and precession and estimate the duration of the Livello Bonarelli at 413 kyr.
ASM analysis of the Al2O3 data from the 82 cm thick Livello Bonarelli at Bottaccione suggests an optimal sedimentation rate of 0.208 cm kyr−1 (Fig. 5). The ∼ 8 cm thick cycles are interpreted as the imprint of obliquity, and the duration of Livello Bonarelli at Bottaccione is estimated at 410 kyr,
comparable to the estimate of 413 kyr at Furlo.
[bold added]
‘https://cp.copernicus.org/articles/12/1995/2016/cp-12-1995-2016.pdf’
– – –
Published: 10 March 2013
Synchronization of the climate system to eccentricity forcing and the 100,000-year problem
José A. Rial, Jeseung Oh & Elizabeth Reischmann
Abstract
Over the past million years, glacial–interglacial cycles have had a period of about 100,000 years, similar to the 100,000-year period of change in the eccentricity of the Earth’s orbit. However, the change in incoming solar radiation—insolation—at this timescale is small, and therefore difficult to reconcile with the amplitude of the glacial cycles1,2,3,4,5. This issue, known as the 100-kyr problem, is compounded by a lack of explanation for the transition of the length of the cycles from 41,000 to 100,000 years at the mid-Pleistocene transition 1.2 million years ago6. Individual discrepancies have been explained, for example, through interactions between other orbital frequencies such as obliquity and the 413,000-year period of eccentricity3,4,5,6,7,8,9,10,11,12,13, but a unified explanation is lacking. Here we show that climate oscillations over the past four million years can be explained by a single mechanism: the synchronization of nonlinear internal climate oscillations and the 413,000-year eccentricity cycle. Using spectral analyses aided by a numerical model, we find that the climate system first synchronized to the 413,000-year eccentricity cycle about 1.2 million years ago and has remained synchronized ever since. This synchronization results in a nonlinear transfer of power and frequency modulation that increases the amplitude of the 100,000-year cycle. We conclude that the forced synchronization can explain the strong 100,000-year glacial cycles through the alignment of insolation changes and internal climate oscillations.
https://www.nature.com/articles/ngeo1756
Keep in mind that 413kyrs is in excess of four glacial cycles. Great events are on much shorter time spans.
Compare to this for example https://phys.org/news/2017-06-collapse-european-ice-sheet-chaos.html
oldmanK – there’s more than one type of eccentricity.
See ‘https://tallbloke.wordpress.com/2021/10/30/orbital-resonance-and-the-celestial-origins-of-earths-climatic-changes-why-phi/comment-page-1/#comment-173247’
That’s not to say the ‘100 kyr problem’ doesn’t exist.
https://en.wikipedia.org/wiki/100%2C000-year_problem
There’s also a 400 kyr problem according to some, or a change of frequency to ~100 kyr.
Marine sediment records from the Oligocene and Miocene reveal clear 400,000-year climate cycles related to variations in orbital eccentricity. These cycles are also observed in the Plio-Pleistocene records of the global carbon cycle. However, they are absent from the Late Pleistocene ice-age record over the past 1.5 million years. Here we present a simulation of global ice volume over the past 5 million years with a coupled system of four three-dimensional ice-sheet models. Our simulation shows that the 400,000-year long eccentricity cycles of Antarctica vary coherently with δ(13)C data during the Pleistocene, suggesting that they drove the long-term carbon cycle changes throughout the past 35 million years. The 400,000-year response of Antarctica was eventually suppressed by the dominant 100,000-year glacial cycles of the large ice sheets in the Northern Hemisphere.
https://www.researchgate.net/publication/259566644_Persistent_400000-year_variability_of_Antarctic_ice_volume_and_the_carbon_cycle_is_revealed_throughout_the_Plio-Pleistocene
400,000-year problem
The 400,000-year problem is that the eccentricity variations have a strong 400,000-year cycle. That cycle is only clearly present in climate records older than the last million years. If the 100 ka variations are having such a strong effect, the 400 ka variations might also be expected to be apparent. This is also known as the stage 11 problem, after the interglacial in marine isotopic stage 11 which would be
unexpected if the 400,000-year cycle has an impact on climate. The relative absence of this periodicity in the marine isotopic record may be due, at least in part, to the response times of the climate system
components involved — in particular, the carbon cycle.
Pdf from Wikipedia — https://courses.seas.harvard.edu/climate/eli/Courses/EPS281r/Sources/Glacial-cycles/Milankovitch-cycles-Wikipedia.pdf
k?
Whenever back-and-forth arises, the discourse slides decades backwards.
–
oldbrew: The older publications went by 413 k because that was the “consensus” value back then.
Berger: 37209.6176613942 = piece of “413 ka package deal”
property of newer models contrasts (no need to judge and decide, just be aware)
36750 ~= 8 / (g_2 + 5*(g_3 + g_4) + g_6 + s_2 + s_3 + s_4 + s_6)
La2004: 36750.3379015986
La2010: 36749.7014379182
oldmanK: Boundary conditions exist whether expressed multivariately or not (with geographic material organization).
–
We are not thinking about the same thing — at all.
By declaration, it seems, k varies smoothly (in theory). That’s an inverted-totalitarian declaration.
k-strategy
k snails past hare-paced deflection (ITseams logistic others hide bet).
0.78 micrometers per hour
with natural concentration: streams densely
Whenever someone gets brave enough to translate this post to an executive summary for policymakers and idiots, I will happily read it.
I’ve tried to follow the links and the discussions, but I’m requesting backup…
“policymakers and idiots” — the value of translating for that audience would be negative
some major misunderstandings have come to light in this thread (I didn’t even realize how bad it was — need a decade-and-a-half of secure, stable, reliable funding …..at least….)
k….Just Tuned in….II*11UNd’nmark$IT….
Suppose some europeans make some marks on an elastic …and then stretch it by different amounts (and then write an insanely long paper (comiCO[$]zzz!) to stretch a half-page of concise expression).
brutal revelation$cold (that’s why they call it a “control narrative”)
wikipedia links to the rescue? obviously not
COCO Acycle
oldmanK, this might keep you busy https://acycle.org/ (scroll down in the window to find 78 recent articles)
Numerical integration
In analysis, numerical integration comprises a broad family of algorithms for calculating the numerical value of a definite integral
https://en.wikipedia.org/wiki/Numerical_integration
– – –
The advent of numerical integration reduced the 412.885-ky periodicity of the BRE74/BER78 analytical solution (above) to 404.178 ky in the LAS88/BER90 solution (11–13), then to 406.182 ky (an interim solution by ref. 2), and finally, to 405.091 ky in the LA2004 solution (3).
. . .
In fact, one of the first geological studies to describe 405-ky scale stratigraphic cycling was on the Triassic–Jurassic Newark Basin lacustrine strata (4, 5) recovered in the National Science Foundation-funded Newark Basin Coring Project, in which each of the prominent 60-m-thick McLaughlin cycles in the cored sequence was assigned a 412.885-ky periodicity based on a now-legacy analytical astronomical solution, BRE74/BER78 (6, 7).
From the paper featured here:
“assigned”
there – someone found the elastic
(thought that wording might help)
laughed out loud so hard when I read in the supporting materials about the COCOAcycle
“the picking procedure” (what sedimentary information called it?)
173 ka sample (from k-ace of 100s — picked for what it doesn’t say)
g_2 ~= s_3 – s_6
PV thanks for the tip. The papers: but they seem to prefer a date so long in the past where it is a ‘no contest’ case.
From OB link, quote “In geology, a reliable “metronome” in the geologic record with a sufficiently short repeat time would greatly enhance the resolving power of the geologic timescale.” Why go to the 4xxkyr for ‘sufficiently short repeat time’. A look at this https://wattsupwiththat.com/2017/08/04/paleoclimate-cycles-are-key-analogs-for-present-day-holocene-warm-period/?ak_action=reject_mobile indicates that dissecting the/a cycle into smaller sections is more fruitful; eg the interstadial section.
[Tried to get the software, but nothing doing; the .exe does not load. (I hope there were no trojans attached. Windows did not like it. – ??)]
Here’s a nice one:
another:
“deep Subantarctic Indian Ocean (Site U1514) […] These patterns of carbonate accumulation are in opposite phase to lower latitude Atlantic and Pacific records”
33 ka: see fig. 13
100s of articles (obviously no time for ridiculous back-and-forth)
This looks like getting somewhere: https://arxiv.org/pdf/0803.4429.pdf
From Appendix: “DO events in the model represent abrupt switches between two different climate states (stadial [i.e. cold] and interstadial [i.e. warm]), corresponding to two different modes of the THC: In the interstadial mode, North Atlantic deep water (NADW) forms at about 65 ◦N and much of the North Atlantic is ice-free. In the stadial mode, NADW forms at about 50 ◦N and a considerably larger area of the North Atlantic is ice-covered.”
oldmanK: above I posted a map at hourly timescale; further above I tied that exact image to 405ka; elsewhere to 490, 980, 1470a. not sure why you portray disparate timescales as if independent from one another (and don’t need to know). holistic exploration across broad time (& space & material) scales to learn how things fit together. exploring multitude of puzzles – could consume whole teams for countless lifetimes. suggestion: maybe you could hire a technician to work under your direction, so you have grounds to specify their focus. my present top-curiosity: what observations tell us about k-assumptions; then historical daily local & regional rainfall (since years ago I only explored monthly).
oldmanK: may I suggest your technician’s task#1 is to ID “exactly when it might hit a double or pull a 1470+980+490 phase twist on your planning team” (quoting from well above, knowing ignorance of 6000 is amazin’)
my focus is elsewhere
Monsoons & Precession
fantastically clear Milankovitch hydrology
It’s clearly informative data, but look at the muddled thinking that results when the authors try to write about it:
2016 The Asian monsoon over the past 640,000 years and ice age terminations
obviously it’s never sensible trying to debate people intent (whether by accident or on purpose) on getting a narrative so wrong ….but the observational data (and the story the observations tell word-free) is divinely fantastic
humor senses meaningless multipolar symbolism while politicians (left, right, from this nation, that nation, whatever) are presently all bad — none of them have any intention of helping good people in a world of (exponentially increasing) bad — even if people rush with urgency to ‘save the world’, they will target one bad bully only to help another bad bully, thus serving only naively as conscripted slaves of the bad bully’s loyalist profiteers — multiple divisions going to conflicting extremes isn’t balancing
still, fascinating patterns in nature remain fascinating patterns in nature, worth noting (but without discussing)
k-strategy suggestion
consider ratios in Table 1 and the prominent streak down Fig. 3c here.
Question: O say can you see what the authors assumed?
Answer: k….
Tribalism — including cross-disciplinary tribalism — is brutally crushing innocent potential for broader multivariate sense. ‘Scientific’ stampedes are trampling good folks with easily identifiable false assumptions, including about the role of God in a fair, just, & stable world.
Structure analogous to Tim Channon’s in their methods makes me wonder why generalized wavelet methods aren’t used to totally subsume the diversity of approaches in a strictly parameterizable manner (to blow$sum of the COCOpuffery off the discourse).
Ethics in Nature
In section 3.4 they make it sound a lot more complicated than it is.
2021 must-herd diss-a-pace “un-normalized” …with catch-op
“we do not attempt to consider Milankovitch scale orbital variations” […] “ocean tidal dissipation, which is thought to exert a strong control on the oceanic meridional overturning circulation”
“Because this paper is written with disparate audiences in mind”
select reference from the paper:
“This condition sharply constrains” — of course BadCapitalist$laugh at such language while ‘chucking weather redistribution’ Can push inequality integrals all-the-weigh too-infinity (while west-turn-COward$fearfully think it’s ‘politial suicide’ to better-balance internal western wealth)
when ‘solar‘ narratives west turn?lunisolar, sea Table 1. (prefer miss story? dial big caught on wood log)
mascot$summary:
2 long reading lists for 1 “disparate audience” learning what it takes to consider the paper linked by OB & TB more carefully
extending full-plate tectonic models in too deep time: linking the Neoproterozoic and the Phanerozoic
eventually period calculations 2
PR – sent simply – but take in 1st ‘the december reading’
Quote: “exactly when it might hit a double or pull a 1470+980+490 phase twist”
The devil remains elusive. We’ll keep looking.
But first: I refer to my earlier post, the extract from linked paper. There is something that is likely not in the ‘climate’. More in dynamics. An ice free NA is an oscillation damper, whereas when ice- covered, the ice and the water beneath act as a solid mass with the earth.
Now the devil. Some years ago when looking into the Dodwell (and Wittmann) study (residuals/differences between the standard formula of obliquity and the ancient obliquity measurements). I used an add-on -DPlot- to Excel for graph work. That ran out in 30 days so had to do with basic Excel. I went back to that work to check out Dodwell’s oscillations for some possible hint. An excel ‘scatter’ chart looked like an ant foraging. There were some outliers and at one point the outliers were ~1477yrs apart.
One was very odd, at 173CE. There was a spike, an increase, with a rapid drop. The measurements were made by the Chinese Liu Hung and Tshai Yung. Two measurements were made in the same year, a high reached by a steep climb and dropping back faster on second measurement. They repeated the measurements five years later and found additional drop.
What made the Chinese check the earth’s obliquity, and twice, and repeat five years later? Solar Simulator 2 had one possible answer. Jupiter Saturn Venus Earth Mars and Uranus were huddled together for a period of less than a month. It seems two millennia ago astronomers knew what to expect. Maybe if someone can dive into Chinese annals for that date, it could be revealing.
A second check on sedimentation rate (glacier ablation -as in Dec 3 post above) shows that about 173CE there was a rapid increase in sedimentation, ie rapid increase in ablation, shooting to a peak, then dropping back some.
173CE is very near to an Eddy peak.
quick note – translating OB’s Rial FM notes to La2010:
123865.048265316 = beat(405568.048748278,94885.8433982369)
76895.5281690391 = axial(405568.048748278,94885.8433982369)
107455.923793851 = harmean(123865.048265316,94885.8433982369)
146188.919173207 = beat(405568.048748278,107455.923793851)
84948.6411396437 = axial(405568.048748278,107455.923793851)
remember: stratigraphers use the orbital periods to tune (stretch elastic band with marks on it) their age-models — when they say they “found” something, tuning is a part of that — they can tune the record to a berger model, La2004, La2010, or whatever — no need to judge/decide – just be aware of what they do and be able to independently translate between models …so you know what they would have gotten if they used another model — also helps you realize when political narrative-freaks are spinning results from DIFFERENT models into the same narrative
gets a little more interesting with k variation
recent flood of too many articles with too much redundant content – unacceptably time-consuming to sift through – wish referees would require conciseness – i.e. stick to terse summary of new findings rather than wasting everyone’s time by trying to force every publication to be a stand-alone narrative on what the whole field is doing – leave that to occasional review papers aggregating up-to-date
wider community call:
need running compilation of findings in concise table – 1 stop shop – single link to single table (with references) — if anyone finds it please share — this is about EFFICIENTLY tracking consensus on “lunar recession” as a function of time as new stratigraphy insights add up
for those of you who find the Acycle thing mysterious, I may post some tables so “any idiot” can simply “look up” what they call their “target” — the calculations are simple — I realize that for a lot of people what they’re doing may look like a big mystery — it isn’t
Takes US Radio
section 3.4
Astronomical forcing of Middle Permian terrestrial climate recorded in a large paleolake in northwestern China 2020
TimeOpt as described is simple
TimeOptMCMC — will send “idiots and polymakers” spinning in countless parallel universes, no doubt centrally directed
Table 2 conversions (360*60*60/x) :
50.475838 57.00809 25675.6509916685 22733.6155271997
5.579378 5.631181 232283.957100594 230147.104133218
7.456665 7.479026 173804.240903943 173284.596149285
17.366595 17.45601 74626.0277273697 74243.7704836329
17.910174 17.73532 72361.1060395058 73074.5202229224
4.257564 4.257444 304399.417131486 304407.996910823
note typo: 17.910174 — in La2011 Table 5: 17.910194 72361.0252351259
now compare and contrast
405113.811661464 = beat(304399.417131486,173804.240903943)
402286.826782618 = beat(304407.996910823,173284.596149285)
metronome
2384110.34604552 = beat(74626.0277273697,72361.0252351259)
4640005.72840211 = beat(74243.7704836329,73074.5202229224)
2320002.86420106 = 4640005.72840211 / 2
rightly left with take away: way, way, way more over lapping samples to evaluate suggestions like this
LAmerryCA
typo: “policymaker” (quoting chickenhawk from above) not “polymaker”
remember what “experts” told us not to believe in observations?
the top panels are there to distract politicians (unnecessarily) “PUZZLED” by the bottom panel:
“like the gentle rain that falls” — The Doors
Orbit Tell Linkin’ Rains (from just above)
Xiamaling & Walvis conversions (angles to periods) :
85.79045 51.28091 15106.57655 25272.56244
5.531285 5.494302 234303.6021 235880.7361
7.456848 7.452619 173799.9755 173898.5986
17.32048 17.48076 74824.71617 74138.65301
17.91224 18.34831 72352.7599 70633.20818
4.257456 4.257451 304407.1389 304407.4964
405076.964623278 = beat(304407.138911124,173799.975539263)
2197675.4833699 = beat(74824.7161741476,72361.0252351259)
405612.474837004 = beat(304407.496410411,173898.598600036)
1493862.0252435 = beat(74138.6530105098,70633.2081810259) — myth? or math
1314: supplementary
1.4 Ga correction:
2190077.05826686 = beat(74824.7161741476,72352.7599004926)
“g3 (Earth) and g4 (Mars) show the greatest change relative to their prior distributions” – MM2018
The first line in the “gentle rain” link I now see as the opening line of the ‘credo’ of the dogma.
Quote: “The geologic record of Milankovitch climate cycles provides a rich conceptual and temporal framework for evaluating Earth system evolution, bestowing a sharp lens through which to view our
planet’s history.”
Two issues on or related to this matter
1.. It is becoming obvious that in the schooling of plotting graphs, such as ‘best fit’ or trend lines to any fictional formula, there is the great risk of wiping out the more important information.
2.. After having tried my hand at it, it is clear to me that ancient techniques of astronomical measurements are very accurate. It is the interpretation that is subjective to the expectations of the human element in the process.
The matter of the ancient measurements of obliquity are a case in point. As discovered recently the measurements of the Chinese in 173CE make clear two issues. Going from before that date, observers were tracking the what seemingly were the erratic movements of the earth’s axis. Now it appears they had good reason. This at the same time that Claudius Ptolemy (died c 170CE) was inventing a geocentric solar system and a human-ego centric universe. We are not yet rid of that virus.
It thus seems that the erratic track of the Excel scatter chart of the ancient obliquity measurements is a factual representation of what actually was happening. The formula for obliquity change is based on calculations on dates 1600, 1850 and 2100, centred on the ‘as-is’ obliquity of 1850. It would have been quite different had it been worked on the 173CE finding.
Even so, that change was relatively minor compared to what Dodwell anticipated for 2345bce. But even there, there is evidence of what it was; before and after. Those were large jumps in obliquity, and thus also precession:
“If the axis of a spinning gyroscope is inclined to the vertical, the axis generates in space a vertical circular cone, so that the angle between the gyroscope axis and the vertical remains constant during rotation. This kind of motion of a gyroscope under an external torque is called forced or torque- induced regular precession”
So to assume that obliquity has been steady at 23.xxdeg for millennia, ????. It is definitely not a good chronometer for Kyrs of years.
misunderstanding, misinterpretation, & misrepresentation of MM2018 is not constructive
Constructive Folk US
Request of cyclostratigraphy exploration leaders – please:
1. graph g_4 – g_3 over last 2 Ga.
2. append concise notes.
Meyers & Malinverno 2018. Proterozoic Milankovitch cycles and the history of the solar system.
Meyers 2019. Cyclostratigraphy and the problem of astrochronologic testing.
–
thanks to OB & TB for (indirectly) alerting us (about what nature lies ‘beyond cocopuffery’)
evolutionary resonance where? in eur. snow hat….
obviously the next requests — please:
3. graph s_3 – s_4 over last 2 Ga.
4. append concise notes.
no doubt $sumpolitician$snowhat’s[not]dragUNdisscourse a decade backwards too naive daze:
Con Text Organized Geography
Obliquely, Eddy nos. weather 142 = ΣΔ(220) = 2 * 71
“model citizen; zero discipline” — Panama VH
Time Saver
“Which of these 2 articles should I read?”
If you’re the academic type relishing terminology and theoretical discourse, you many find the 2019 testing paper a delectable treat.
If you’re more the street-level smarts type (wink wink) looking for efficient insight without ever drowning in a HEAVY discourse based on assumptions that can’t be verified: read MM2018.
Whether you “agree” or not, some really interesting questions arise naturally from an understanding of what they’re doing. It’s a classic paper in the sense that it can be used to change the game (away from pointless, wasteful modelling to raw, irreplaceable exploration).
The authors make a lot of well-thought points and the paper has the potential to stimulate orders of magnitude more (and more careful) geological observation. Also, I suggest the authors (and others) attempt application of the methods to revolutionize (public) lunisolar-climate exploration.
Most people won’t understand the methods no matter how carefully explained …so “The Party” misinformation campaigns will TELL naive folks how to mmm (misinterpret, misunderstand, & misrepresent).
A summary of many hundred such studies (like MM2018 Table 2 & Table 2 here) in a single, regularly-updated master-table could help efficiently raise floods of interesting questions. Presently to me — from an interdisciplinary perspective — it seems the uncertainty-narrative-writers in the field aren’t asking the right questions — and it’s not clear why.
second-thought: skip the 2019 paper — my bad for linking to it based on a misleading reference to it before I read it — apologies — perfect source of confusion for climate etc.
MM2018’s leagues above – classic shakes things$ loose enough tooCO[$]widespread measurement
Seen both papers, both from 2018, seven months apart.
A snippet from MM https://www.pnas.org/content/pnas/115/25/6363.full.pdf
“— the uncertainty in the Eocene Milankovitch period —-”
The Eocene question arose before. Not only in the Milankovitch periods, but also the anomaly in temperature gradients. Remember this? https://www.facebook.com/melitamegalithic/photos/a.433731873468290/1957722401069222/ ‘Yearly insolation with latitude’.
Scale on right is obliquity Epsilon mean. Lower pic is a match as per today’s 23.xxdeg; upper is Eocene > some 40.xx deg. The Eocene gradient matches a much higher obliquity.
Then again, one only needs to look at recent sediment layers, especially in the Med, to find that they do not match any astronomical M cycles (though others cycles seem to dictate). Worse, one cannot explain sharp thick sapropel (bio rich) layers in otherwise inert clay laid in exceptionally short time spans.
Of course it is dangerous to question a dogma, especially for young beginners. But some (we know) are not beholden to some dogma, and some paid a price too. Over the past three decades, reading archaeology material it became evident authors changed the tune in their writings when retired and became more open/critical on earlier research.
The gremlin in the works is not the slow secular but the large and abrupt shifts. The latter don’t feature in any model afaik.
The Chinese measurements of obliquity in 173CE may have recorded a short and temporary excursion of the earth’s axis. Such change may have been observable. Which brings to mind a biblical miracle. Joshua’s “O sun, stand still over Gibeon, O moon, over the Valley of Aijalon.” To note: this is another case of when the sun and the moon are together. The date is given as 1207bce, an Eddy root, and a time of major civilisation collapse.
oldmanK, as you’ve told us repeatedly (maybe hundreds of times) for many years you are dissatisfied with mainstream inattention to a few very large, important univariate residuals on the recent record.
Believe it or not that is not going to cause people to ignore multivariate observations (please stop trying to conflate them with models) on all other timescales as you seem to demand.
OB & TB alerted us to some interesting new observations. That triggered a literature search that turned up TimeOptMCMC. Somehow this — or mention of anything in general — causes you to attempt to redirect focus (comes across as unwanted harassment) to a few univariate residuals with which you appear permanently obsessed.
My impression of what you want (exaggerating for effect) : Everyone should stop looking at anything other than 3 residuals you demand be explained and no matter what anyone says about anything you are going repeat the demand with high frequency even though everyone already understood it.
to be more clear with oldmanK: I wish to have no further exchanges with you regarding Milankovitch.
Paul Vaughan says: December 10, 2021 at 5:54 pm No problem at all. Thanks for the time, it was of some value.
oldmanK
here is a link to a website I ran across. It is indirectly related to what you were discussing. I can’t speak to the validity of the material presented, but you may find some use in it.
https://www.mariobuildreps.com/
“(1/2)*2C” — The doors
no doubt 1.4 Ga measuring tape rocks “ancient techniques of astronomical measurements”
I’ve decided not to do this (for now) :
“I may post some tables so “any idiot” can simply “look up” what they call their “target” “
Warning: there seems to be malware linked to the site indicated by chickenhawk says:
December 10, 2021 at 11:59 pm
The linked looked like interesting but looked also digitally corrupted.
see https://wordpress.org/support/topic/new-virus-malware-ch-trainresistor-cc/
chickenhawk:
Tks for the tip. A quick glance looked like there was something interesting. But had little time before Firefox crashed.
The malware appears to have been noticed at WordPress some days ago.
Looks like this article is about to be published. Full pdf can be viewed.
Probing the impact of Solar System dynamics on Holocene North Atlantic
cold events at the millennial-scale
Linlin Wang a,b, Jian Wang a,b,c,*, Jie Wang a,b, Zhenyu Xiao
From the abstract:
After extracting IMF components containing millennial-scale cycles, a correlation analysis was performed. As a result, it was found that the solar inertial motion had ~2,300- and ~1,000-year cycles and the combined planetary tidal force had a ~1,500-year cycle, while the solar activity and Holocene North Atlantic cold events proxies had ~2,300-, ~1,500-, and ~1,000-year cycles, respectively. The correlation analysis revealed that the millennial-scale periodic components of the two Solar System dynamics proxies were largely correlated with that of solar activity and Holocene North Atlantic cold events, suggesting that the solar inertial motion and combined planetary tidal force may work together to impact solar activity, and thus the climate in the North Atlantic. Consequently, solar activity was weaker and the North Atlantic temperature was cooler when the Sun was far from the Solar System barycenter and/or the combined planetary tidal force was weakened. This might indicate the involvement of Solar System dynamics on Holocene North Atlantic cold events at the millennial-scale.
https://www.sciencedirect.com/science/article/pii/S104061822100416X
What they call “solar activity” is misinterpretation.
“Warning: there seems to be malware linked to the site […]”
back in the strange days before the boycott, the swamp (listen to the texas big beat doors song) left links. quite rightly tech whiz saved hard drives from IT.
MM2018 = Meyers & Malinverno 2018. Proterozoic Milankovitch cycles and the history of the solar system.
supplementary information: TimeOptMCMC (p.5)
k?
oldmanK
I’ve been to the website several times, but hadn’t noticed anything unusual. If you get time, please give more details regarding problems or virus. thanks.
perhaps virus is on your machine? what antivirus software are you running. I’m currently running brave browser and kaspersky antivirus.
background:
2015 Orbital forcing of climate 1.4 billion years ago
2*(g_4 – g_3) ~= s_3 – s_4 metronome in paleozoic extinction rates
2018 Pacing of Paleozoic macroevolutionary rates by Milankovitch grand cycles
chickenhawk:
This is the sequence of events prior to posting warning. I use Firefox.
1) Connected to link you suggested – on a new tab
2) Got site. Site was too dark to make out what was written although I could make out some topics.
3) Closed tab, and tried again.
4) White screen. I noticed at bottom l h of screen ” attempting to handshake trainresistor”
5) closed tab immediately and googled ‘trainresistor’
6) got linked to discussion about malware infection. It was from WordPress.org
Apparently the virus alters the screen after an hour (some piece I read). My machine was on for several hours after that event, and I have not noticed anything unusual. However I refrained from linking to that site again. oldbrew’s later post got more attention (oldbrew tks)
From oldbrew’s link:
“His results supported the assertion that a
Holocene cold event was a large-scale, rather than a local, phenomenon
in the North Atlantic. Therefore, we used a long time series of
hematite-stained grains (HSG) measured at a North Atlantic site,
VM29-191 (54◦16′ N, 16◦47′W; 2370 m depth) (Bond et al., 2001; Evans
et al., 2008) as a tracer for Holocene North Atlantic cold events. The
resolution of these data was 70 years.”
This is the same proxy used by D’Andrea et al, and is compared to others (Med sediment) – as in link below; and with same problem I find in representation (inverted??):
More from the same paper, referring to another one…
Probing the impact of Solar System dynamics on Holocene North Atlantic cold events at the millennial-scale
5.2. Mechanisms of the Solar System dynamics affecting solar activity
Liu et al. (2013) considered that the sum of the angular momentum of solar rotation and the angular
momentum of the solar orbit (i.e., the Sun around the Solar System barycenter) is conserved. As the Sun moves away from the Solar System barycenter, the radius of the solar orbit increases, causing the angular momentum of the solar orbit to increase. Because the sum of the solar rotational angular momentum and the orbital angular momentum is constant, the solar rotational angular momentum decreases, resulting in a decrease in the solar rotational velocity and reduced intensity of solar activity. Conversely, as the Sun approaches the Solar System barycenter, the intensity of solar activity increases. The above theory can help us explain the negative relation between the intensity of solar activity and the distance from the Sun to the Solar System barycenter. However, the exact mechanism still needs to be investigated further.
https://www.sciencedirect.com/science/article/pii/S104061822100416X
– – –
Liu et al (2013): http://www.progeophys.cn/CN/10.6038/pg20130205
Table 2
405076.964623278 = beat(304407.138911124,173799.975539263)
131391.763196356 = beat(173799.975539263,74824.7161741476)
123955.180255317 = beat(173799.975539263,72352.7599004926)
99211.3311588496 = beat(304407.138911124,74824.7161741476)
94911.7906222464 = beat(304407.138911124,72352.7599004926)
14191.5831975816 = axial(234303.602146698,15106.5765478558)
13898.5260462989 = axial(173799.975539263,15106.5765478558)
12568.9875942347 = axial(74824.7161741476,15106.5765478558)
12497.2650179084 = axial(72352.7599004926,15106.5765478558)
14392.3391178025 = axial(304407.138911124,15106.5765478558)
COP36
news cycle:
begins 2022
ends 2050
2020 nos. Tall Gaia’s SST_2 art 60072
45884.3897482377 = g_6 (La2011 Table 6 La2010a)
“bot tool$in the ice…like ABlizzard”
19.8650360864628 = beat(29.4474984673838,11.8626151546089) — Keplerian (Seidelmann 1992)
45888.2333597291 = 11# * 19.8650360864628 — # indicates primorial
36307.221454906 = harmean(45888.2333597291,30036)
173893.349399491 = beat(36307.221454906,30036)
173889.708842077 = g_2 (La2011 Table 6 La2010a)
“popin bought Tall$” (60 k?)
“like 36 …so fly like a g_6” – far east move meanT – “CO[$] UNo. IT, DOn’t SST op”
Libration & Circulation
La2011: “Using the secular equations, Laskar (1990, 1992) demonstrated that the chaotic behavior of the Solar System arises from multiple secular resonances in the inner Solar System”
La1992: a few points on the stability of the solar system
La1990 the chaotic motion of the solar system: a numerical estimate of the size of the chaotic zones
p.271 = pdf p.6 g_6 separate tricks sov. a reason UN$
Stuart: “nos. on the ground” — DW
g_5 is stablest; g_2 is stable; g_3&4 & anything depending on k? geologic alphabet ≠ La
oldmanK
looks like the site https://www.mariobuildreps.com/ has been fixed.
if you get time, let me know if you think there’s some good science to his idea
The Other Table 2
402286.826782618 = beat(304407.996910823,173284.596149285) — 405.3 k in table
129898.975481969 = beat(173284.596149285,74243.7704836329)
126361.432306835 = beat(173284.596149285,73074.5202229224)
98192.4854563746 = beat(304407.996910823,74243.7704836329)
96157.5844739928 = beat(304407.996910823,73074.5202229224)
20689.8959599961 = axial(230147.104133218,22733.6155271997)
20097.0376780379 = axial(173284.596149285,22733.6155271997)
17404.3599533198 = axial(74243.7704836329,22733.6155271997)
17339.3212859836 = axial(73074.5202229224,22733.6155271997)
21153.8187196736 = axial(304407.996910823,22733.6155271997)
conclusion: there must be another typo in their table
The CycloAstro Project
https://sites.google.com/view/cycloastro
• aims to quantitatively summarize history of Earth’s precession, day length, and lunar distance since Precambrian = what I wished for above, so here I note my applause: fantastic
• also “illuminate the timing of chaotic resonance transitions in planetary orbits” = what I had in mind when I requested g_4-g_3 & s_3-s_4 above …so: 2nd applause
=
Project-3: Astronomical solutions and the astronomical time scale beyond the 50 Ma predictability limit.
Brief project summary: This project will compute and select pre-50 Ma astronomical solutions in a piecewise manner, e.g., start at ~50 Ma and proceed back step-by-step through Earth history, using geological records to constrain the astronomical solutions. In turn, validated astronomical solutions will be used to extend the astronomical time scale back in time.
=
noteworthy link from project-4:
2021 bayesian inference gaussian process multiproxy alignment of continuous signals
correction: last link is from project-2
west coast lunar rain schedule update:
happened again — this time atmospheric river swept further south (rapidly from north BC to CA) as seasons are shifting …so (as suspected) aggregation with data from stations up & down coast
explore: bottom-left click “earth”, choose overlay 3HPA; use control calendar-icon or change date in url — cross-reference: graph and notes I shared above in 3 comments
libration & circulation — look at La1992 figure 6 (linked not far above) and then this:
I have a <a href="“>much better understanding of it now (link).
related images from past (might still be on net somewhere) :
Southern_Ocean_SAOT_CAM_ENSO_Indian_Monsoon
SAOT_seventy_nine_point_five
the doors putmoonlight drivein perspective
chickenhawk: a quick reply for now.
Linked to site – interesting, but there are many assumptions that are not supported, or are even contradicted, by evidence.
Most/all structures are based on a well developed agrarian system to support a large society, and very likely, the development of metal tools. Those factors don’t go back far in time (look up the genetic development of the cereals)
Apparent confusion between earth pole, magnetic or geographic, crustal shift, or/and axial tilt change.
Quote parts “Earth crust shifts do not happen overnight.” “An Earth crust shift is not the spectacular event that many people think it is.” Wrong, they are fast and spectacular. [Presently collating data. Orbital condition when change occurs last only a few days. For dramatic events see (my site) here https://melitamegalithic.wordpress.com/2019/12/08/geology-for-the-heretic-the-mystery-of-the-megalithic-calendar-orientations/ https://melitamegalithic.wordpress.com/2019/09/25/beyond-the-heretic-reality/ )
This particular thread (tks oldbrew,tb) has been instrumental in finding a critical element, that also allows accurate dating, nearly to the day depending on software accuracy, of the small time window when events occur (sobering).
NASA:
Eccentricity – Earth’s annual pilgrimage around the Sun isn’t perfectly circular, but it’s pretty close. Over time, the pull of gravity from our solar system’s two largest gas giant planets, Jupiter and Saturn, causes the shape of Earth’s orbit to vary from nearly circular to slightly elliptical.
https://climate.nasa.gov/news/2948/milankovitch-orbital-cycles-and-their-role-in-earths-climate/
103172.24399153 is not a function of k
above Diss(of)Course mixin’ model$
2321.05263157895 = beat(1470,900) — 0 = 10-10
1470.03164888312 = beat(2320.97373292704,900)
1799.97627404738 = harmean(2320.97373292704,1470)
La moon T door T palace aid$knew yore k? learn 24, get
supplementary to last comment
Seidelmann (1992) Table 15.6 synodic column
0.240846733026329
0.615197278962733
1.88084836649705
11.8619993833167
29.4571726091513
84.021212742844
164.770559417647
16.9132606717144 = harmean(29.4571726091513,11.8619993833167)
111.291640445866 = harmean(164.770559417647,84.021212742844)
19.9442343675323 = beat(111.291640445866,16.9132606717144)
9.97211718376616 = 19.9442343675323 / 2
4641.94746585408 = slip(19.9442343675323,19.8589101021728)
2320.97373292704 = slip(19.8589101021728,9.97211718376616)
As noted above, this ties 1470 & 1800 (lunisolar cycles) together.
_
compare with NASA “factsheet” fits:
16.9132376600574 = harmean(29.4571389459274,11.8619822039699)
111.287690909751 = harmean(164.788501026694,84.0120465434634)
19.9443292139205 = beat(111.287690909751,16.9132376600574)
9.97216460696023 = 19.9443292139205 / 2
4635.02503296546 = slip(19.9443292139205,19.8588772513307)
2317.51251648273 = slip(19.8588772513307,9.97216460696023) —- Scafetta rounded-off to 2318
_
Number theory wizards no doubt reduce far more detailed numerical integrations to closed form.
Cold Where? MeanT all IT
DO$NAMO$un …or II?
glacioeustasy ice un*II hot how$
oldmanK
thanks for info and link
I will comment at link site when I have read thoroughly.
Keplerian route to Halstatt “fits” 36750
16.9122914926352 = harmean(29.4474984673838,11.8626151546089)
111.292543528394 = harmean(164.791315640078,84.016845922161)
19.9428577113341 = beat(111.292543528394,16.9122914926352)
9.97142885566705 = 19.9428577113341 / 2
5090.68769455895 = slip(19.9428577113341,19.8650360864628)
2545.34384727948 = slip(19.8650360864628,9.97142885566705)
1799.82989486277 = 2545.34384727948 / √2
899.914947431387 = 1799.82989486277 / 2
2320.4870339324 = beat(1470,899.914947431387)
2320.51629646498 = beat(1469.98825699241,899.914947431387)
2320.51679355109 = beat(1469.98805751673,899.914947431387)
36749.7064248102 = 25 * 1469.98825699241 —- lunisolar DO
36749.7014379182 = 8 / (g_2 + 5*(g_3 + g_4) + g_6 + s_2 + s_3 + s_4 + s_6) — La2010
0.000013569885 = % error
wwf(rust)11*un mmmITch
m = misinterpretation
m = misunderstanding
m = misrepresentation
knew miracle myth
odd$Sov.WeSSTearnChARMSMatTrick$
dove hide’n’concur
buy don too faced monde stir
wear a=i fuss-sack all-mood DO11$fined
Wash. fill$in full repPR$aint T i.e. $UN
49000.7921143856 = beat(208.886643858908,207.999955892563)
M11 — 7920 = 5 * Φ(4370) — B
In plain common sense expression:
The result of “expert” numerical integration is models containing (surprise, surprise) traces of number theory.
If that’s not what you expected, what did you think we were establishing??? lol….
Hypnotize UN
19.8588720868409 = beat(29.42351935,11.85652502)
19.8588772513307 = beat(29.4571389459274,11.8619822039699)
19.8589101021728 = beat(29.4571726091513,11.8619993833167)
30031.2738559231 = axial(60071.8691254636,60053.2291906068)
30031.2777614887 = axial(60071.8691254636,60053.2448080241)
30031.3026044063 = axial(60071.8691254636,60053.3441489705)
36749.9152423743 = beat(30031.2738559231,16526.3120307908)
36749.9093938138 = beat(30031.2777614887,16526.3120307908)
36749.8721917765 = beat(30031.3026044063,16526.3120307908)
“C11eo$aidIIJu11!US: $__T up & DO_’_ ___k!”
COrock$yuan$quad roll at orwell?
73499.8304847485 = beat(60062.5477118463,33052.6240615815)
73499.8187876276 = beat(60062.5555229775,33052.6240615815)
73499.744383553 = beat(60062.6052088127,33052.6240615815)
UJS review (as easy as pie) :
19.8650360864628 = beat(29.4474984673838,11.8626151546089)
16.9122914926352 = harmean(29.4474984673838,11.8626151546089)
21.1746788367349 = beat(84.016845922161,16.9122914926352)
321.183589283115 = slip(21.1746788367349,19.8650360864628)
1908.55545325512 = slip(321.183589283115,19.8650360864628)
33052.6240615815 = slip(1908.55545325512,321.183589283115)
36307.0627482425 = axial(173889.708842077,45888.2333597291)
60071.5655377237 = harmean(173889.708842077,36307.0627482425)
60072 = ⌊60071.5655377237⌉
30036 = 60072 / 2
“maycu[T]eputcheuRhan$op!”
“ends 2050”
correction: ends 2040
Schwabe, Gleissberg, Suess-de Vries: Towards a consistent model of planetary synchronization of solar cycles (2019)
F. Stefani, A. Giesecke, M. Seilmayer, R. Stepanov, T. Weier
Aiming at a consistent planetary synchronization model of both short-term and long-term solar cycles, we start with an analysis of Schove’s historical data of cycle maxima. Their deviations (residuals) from the average cycle duration of 11.07 years show a high degree of regularity, comprising a dominant 200-year period (Suess-de Vries cycle), and a few periods around 100 years (Gleissberg cycle). Encouraged by their robustness, we support previous forecasts of an upcoming grand minimum in the 21st century. To explain the long-term cycles, we enhance our tidally synchronized solar dynamo model by a modulation of the field storage capacity of the tachocline with the orbital angular momentum of the Sun, which is dominated by the 19.86-year periodicity of the Jupiter-Saturn synodes. This modulation of the 22.14 years Hale cycle leads to a 193-year beat period of dynamo activity which is indeed close to the Suess-de Vries cycle. For stronger dynamo modulation, the model produces additional peaks at typical Gleissberg frequencies, which seem to be explainable by the non-linearities of the basic beat process, leading to a bi-modality of the Schwabe cycle. However, a complementary role of beat periods between the Schwabe cycle and the Jupiter-Uranus/Neptune synodic cycles cannot be completely excluded.
https://arxiv.org/abs/1910.10383
– – –
In other words: the ‘193-year beat period of dynamo activity’ is that of the J-S synodic period and the Hale cycle, as per our diagram in the post and as proposed in Ian Wilson’s 2013 PRP paper (see post intro.). But the de Vries cycle is not that period – again, see the diagram.
The Stefani et al paper was featured here:
No doubt: DissCourse slides backwards for reruns …but not to worry: watching old music videos beats climate discourse reruns.
4reign[sic]sci.CO[II] a g_60k (D-LA$react$yuan)
La2004 with Seidelmann (1992)
36305.5718967981 = axial(173913.043478261,45884.2272968667)
60070.9170548564 = harmean(173913.043478261,36305.5718967981)
multiLAdoor alor$quad drill[in]at orwell?
60070.1147957957 = 5090.68769455895 * 59 / 5
Who tries to draw weather con clues yen thru misunderstanding? …or misinterpretation?
a quick (if mystery US too the uninitiated) reminder :
323 = d(2,1/3,59) = d(2,1/3,76) / 2
163 = d(2,1/3,58)
73 = d(2,1/3,57) = d(2,1/3,29)
193 = d(2,1/3,47)
For 60k? Can fill discussion bored with such relevant facts while others prefer what isle admit is off course.
New research shows that changes in the upper atmosphere and ionosphere are driven by winds in the troposphere. That is interesting, indicating a direction of causality from lower atmosphere to upper. A lot of commentary on solar phenomena asserts the opposite, that solar wind, and magnetic and other phenomena in the upper atmosphere exert an effect downward, impacting on the lower atmosphere and climate.
https://www.nature.com/articles/s41561-021-00848-4
If there is causal effect in the other direction, from lower atmosphere weather all the way up to ionosphere, that could be challenge to hypotheses of solar and astrophysical causation of climate changes. With causation shown to exist in the other direction, bottom to top of atmosphere, this raises the risk of data interpretation being confounded by cause-effect ambiguity. Phenomena in the ionosphere could be effects, not causes, of tropospheric weather and climate changes.
This of course doesn’t affect planetary orbital cycles and resonances.
DissCuss yuan f(11a)sh! back
too DCaid$DOsent pay ascent
60062.8332644764 = beat(73499.4028758364,33052.6240615815)
2402.39546699923 = beat(60062.8332644764,2310) — ware 2310 = 11#
15 & 290 factor$imply 1800 & 2320 (3DOmint$yen7buy7)
CO[in]$0dense no. doubt bury center dove hide’n’concur (answerin’Qwestyen$QUADbull lies)
direct$yen CO[$] 60k offset (weather OR NOT)
$sea Diss(of)Course
Phil: I have never seen any solar or planetary theory consistent with observations (which are manifestly bottom-up and simply so). Equally suspicious is how people miss (or pretend to miss) 96. My guess: someone with power thinks it’s a security imperative not only to keep trade secrets but to actively and heavily water down the discourse. In more than a decade I have not seen even 1 comment consistent with observations.
Paul
Science somewhat misses Heisenberg’s approach in his “S-matrix” theory-method, in which only observations are considered as reality. Nothing else.
Or as Karl Popper put it (quoting Hulme I think) – “there are no inductive inferences”.
Something I missed, Phil, I realized yesterday. Some religious folks mentioned a flood in the bible about 2.4k BC. They told me there are a lot of people who believe everything started something like 8k BC (and that there is nothing before that).
Quote part “–everything started something like 8k BC–“. Yes, except Dino eggs https://edition.cnn.com/2021/12/21/asia/baby-dinosaur-inside-egg-scn/index.html
That should make the faith flicker. (I wonder if I could grow one under a canary hen, or a bantam).
Have a safe Christmas.
rock Tangle old Test a meanT ?
323 is lowest odd fibonacci pseudoprime
323 + 3 + 2 + 3 = 331 = 993 / 3 = 1986 / 6
is the largest factor of the smallest strong fibonacci pseudoprime
seasons best mystery
taxicab “8X45” too hollywood?
993k ~= beat(1.00001743371442,1.00001642710472)
hilarious
8*45 = 360 = σ(323)
CandID8
I thought I shared this ages ago, but like a ton of notes that got sidelined when I switched operating systems (& thus lost an almost unbelievable amount of efficiency inadvertently), it appears I did not.
19.8650360864628 = 1/(J-S)
19.8650360640815 = 1/(-2*(320/(7920-2400-240-24)+8*(19+43+67+163)/2.92005097731613)/(7920-2400-240-24)+300*ΦΦ*(1/323+1/(262537412640768744/10^10-331)))
-0.000000112667 = % error; -3.55549774107184 seconds/century = absolute error
quick review:
2.92005097731613 = prime-generating constant
262537412640768744 = Ramanujan’s constant
8 = √average(28,163,67,43,19) = 902-894 = √(ΣΣΦ(378)-ΣΣΦ(178))
64 = average(28,163,67,43,19) = 284-220 = ΣΣΦ(378)-ΣΣΦ(178)
320 = 5*(902-894)^2 = 28+163+67+43+19 = Σ(744 levels)
320 = 5*(284-220) = 5*(ΣΣΦ(378)-ΣΣΦ(178))
980 = σ(556) = σ(178+378) = 657 + 323
556 = 2*278 = 178+378 = 657-101
657 = 178+378+101
5256 = 8*(178+378+101)
7920 = 8*(178+378+101)+2400+240+24
101 is lowest odd Mertens zero-crossing
7920 (M11)
323 = 196883-196560 (M,Leech)
331 = 378-s(19+43+67) = Σφ(323)+ΣΦ(323)-163
47 = Σφ(323) = top B factor; σ(Φ(47))^5 – Φ(47)^5 – 47^5 = 19^5 + 43^5 + 67^5
47 = ΣΦ(29) = ΣΦ(δ(42))
71 = 42+29 = 42+δ(42)
49 = average(42+Φ(δ(42)),Φ(δ(42))) = 7^2
Left out lots — quick, reminiscent sketch. Probably never going back even though fascinating — too expensive (1.5 years with no income learning what wasn’t covered in forestry, stats, ecology, physical geography …& not even in the environmental psych course “envisioning a sustainable society”).
in k eur mmm…merry can C+R+US = mess SSTory
δ(744)-Δ(744) = δ(360) = δ(δ(504)) = δ(δ(σ(220))) = δ(σ(323)) = δ(22^2)
φ(744)-Φ(744) = φ(360) = φ(φ(504)) = φ(φ(σ(220))) = φ(σ(323)) = φ(22^2)
Φ(744) = Δ(744) = 240; σ(240) = 744
φ(744) = δ(744) = 504 = σ(220) = 220+284 = δ(744)
φ(504) = δ(504) = 360 = σ(323)
Φ(744) = 240; Φ(240) = 64 = Φ(Φ(744)) = 8^2 = (902-894)^2 = 284-220
Φ(σ(240)) = 240; Φ(σ(240)) = 64 = Φ(Φ(σ(240))) = 8^2 = (902-894)^2 = 284-220
Δ(744) = 240; Δ(240) = 64 = Δ(Δ(744)) = 8^2 = (902-894)^2 = 284-220
Δ(σ(240)) = 240; Δ(σ(240)) = 64 = Δ(Δ(σ(240))) = 8^2 = (902-894)^2 = 284-220
s(220) = 284
s(284) = 220
s(220) = 284
s(284) = 220
s(220) = 284
s(284) = 220
504 = 220+284
252 = average(220,284)
378 = average(252,504) = 2+3+5+7+11+13+17+19+23+29+31+41+47+59+71
Σδ(378) = 752
Σδ(752) = 894
Σδ(894) = 902
Σδ(902) = 894
Σδ(894) = 902
Σδ(902) = 894
right PR fear
left aside D-bait
no. win IT’11 fool’mmm
either way:
weather math + computer psyUN$ = superior quantitative found ace yuan$ (or miss story)
2360489.30437277 = 2/(1/(φ^22+1/11)^(e/11+1/22)-1/ln(163*67*43*19*11*7*3*2*1))
1180244.65218639 = 1/(1/(φ^22+1/11)^(e/11+1/22)-1/ln(163*67*43*19*11*7*3*2*1))
405375.147994516 = 1/((1/(φ^22+1/11)^(e/11+1/22)-1/ln(163*67*43*19*11*7*3*2*1))/2+1/271/43/7/3/2)
405378.494928687 muck C11ock…lune clue win k SSTudy
Learn in peace together weather myth or math.
need to review with k hindsight
A link between global climate variability in the Pleistocene and variations in the Earth’s orbital parameters
September 2014
Authors:
Vyacheslav Aleksandrovich Bol’shakov
Lomonosov Moscow State University
The study demonstrates that the orbital climatic diagram (OCD) built on the basis of the simplified and general concepts of mechanisms for climatic response to orbital forcing can be a reasonable alternative to Milankovitch’s and his followers’ discrete insolation curves, which are widely used in paleoclimate interpretations.
https://www.researchgate.net/publication/278698282_A_link_between_global_climate_variability_in_the_Pleistocene_and_variations_in_the_Earth's_orbital_parameters
[PDF can be downloaded].
well aware of sci11UN$methods
Phil:
suggestion: read chapters from Sidorenkov’s book (excellent overview of heat engines)
note: generalized wavelet methods subsume other methods (including empircal mode methods)
flexible extent means no CLT benefits (so comparing apples & oranges)
more fundamentally: the cycle’s in the variance, not the mean (underscored for years – & still misrepresented)
also repeated misrepresentation: need to first put a stop on all lunisolar to isolate the tuned volatility — deep fundamental miscommunications at play — would take a verbal conversation with trusted experts
doesn’t help with the communication: the original authors didn’t tune the extent correctly – so their measurement is crude & distorted – but clearly & simply suggestive enough to alert someone adequately prepared to easily find the correct tuning
Talk Sea Know ME?
(not a song I listen to, but I get the point)
plain dumb make ’em miss yen$R owe $UN borg CO[II] moon
s(1184) = 1210; s(1210) = 1184
894 = ΣΔ(1184) = ΣΔ(s(1210)) = Σδ(902)
902 = Σδ(894) = Σδ(ΣΔ(1184)) = Σδ(ΣΔ(s(1210)))
ΣΣδ(142) = 73
208 = Σδ(22)*ΣΔ(22)
247 = average(-163,657) = average(ΣΦ(323),Σφ(323))
247 = (7920-2400-240-24)/16-163/2
247 = average(-163,(7920-2400-240-24)/8)
1729 = 7*247 —————————————————— taxonomy metric indeed
1729 = 7*average(-163,(7920-2400-240-24)/8)
1729 = 7*average(ΣΦ(323),Σφ(323))
142 = ΣΔ(220) = 2*71
342 = Σδ(220) = 2*171
242 = average(142,342)
242 = average(2*71,2*171) = 2*121
242 = average(ΣΔ(220),Σδ(220)) = 2*11^2
163 = ΣΦ(171) = ΣΦ(378)
1210 = 5*(ΣΦ(163)-Σφ(163))
242 = (s^0)(242) = 2 * 11^2
157 = (s^1)(242) = 314 / 2
1 = (s^2)(242)
0 = (s^3)(242)
400 = Σs(242) = ΣΦ(323)-Σφ(323) = 447-47 = 2*(378-178)
200 = Σφ(220)-ΣΦ(220) = average(-Σφ(323),ΣΦ(323)) = 378-178
100 = average(-ΣΦ(220),Σφ(220)) = average(-178,378)
163 = ΣΦ(378) = ΣΦ(171) = ΣΦ(ΣΦ(101)) = ΣΦ(ΣΦ(ΣΦ(67)))
342 = ΣΣΦ(178) = 2*171
326 = ΣΣΦ(220) = 2*163
s(378) aliquot prime = 601; Φ(601) = 600
980 = 1216+600-836 —- 1216,600,836 are Σδ-untouchable
284 = s(220) = Σδ(Σδ(4270)) = Σδ(Σδ(s(4370)))
220 = s(284) = s(Σδ(Σδ(4270))) = s(Σδ(Σδ(s(4370))))
s(4370) = 4270 is Σδ-untouchable
Σδ(902) = 894 = Σδ(Σδ(378)) = Σδ(640); 640 = 744-104 = 2*(28+163+67+43+19)
Σδ(894) = 902 = Σδ(Σδ(Σδ(378))) = Σδ(Σδ(993))
378 & 993 are Σδ-untouchable
320 = average(-104,744) = 28+163+67+43+19
Paul, Are you on Research Gate?
No Philip. Bill Howell might still have some of my older explorations on his site, but some of my interpretations have changed considerably along with my sense of classic staple vs. necessary exploration. With streamlined preparation beginning early in life and/or a diversely-skilled, exceptional team (naively assuming no political interference) I imagine a fun course of exploration to finish sorting lunisolar boundary features into generalized form.
The absolute solar magnetic field strength progression of cycle 25 is now lagging that of cycle 24. By November of this year, the solar field strength and its rate of change may give a good indication of the length and peak of sunspot cycle 25.
Hopefully this cropped version is better.
oldmanK 173CE, 2345BC – briefly noted
supplementary review
The 1726.62 year cycle (630635 days) of Venus-Earth-Jupiter-Uranus ordering solar cycles and their variability, has:
125 Jupiter-Uranus synodic periods
1080 Venus-Earth synodic periods
156 solar cycles
16 centennial solar minima
Which the factors of are 2, 3, 5, and 13.
The equator is not 65˚N.
So what!miSSTropiCal.attitudes?
Geography clue win.
Monsoons alternate north / south.
discretely nonlinear
online calculators offering no option other than cross-sections camouflage 100ka tropical extremes
linked from Suggestions-45 to sample of papers citing:
Ashkenazy & Gildor 2008:
Timing and significance of maximum and minimum equatorial insolation
1/2-precession extreme-spikes flip oppositely
broadening aggregation from strictly-equator
to tropics more generally
100 ka tropical insolation extremes
100 ka tropical SST (with same phase)
I would like to share and point out this recent article of mine (open access) hoping that it will stimulate your curiosity.
Bank M. J., Scafetta N.: 2022. Scaling, Mirror Symmetries and Musical Consonances Among the Distances of the Planets of the Solar System. Front. Astron. Space Sci. 8:758184. https://doi.org/10.3389/fspas.2021.758184
The article proposes a model for the distribution of the masses in the solar system. It is shown that there exists an almost perfect “scale” and “mirror symmetry” relationship between the inner region (between the sun and the asteroid belt) and the outer region (from the asteroid belt to the outer edge) of the solar system. This relationship involves simultaneously all planets and asteroid belts and demonstrates that the solar system is highly synchronized and gravitationally optimized, albeit in a unique way of its own.
The final model with the equations is shown in figure 7 of the article. It should be noted that the proposed equation is based on the 9/8 ratio (the epogdoon of Pythagoras) which represents a musical tone and its higher octaves. So it can be said that Pythagoras and Kepler saw right when they spoke of a “Music of the Spheres”. After 2500 years, this work proposes an equation that I believe is robust and elegant.
2 Links “Too Correct” Typo Inclination
Narrowly am big us peak in clan nation? Sea add just[ice] meanT node out:
La2011 Table 6 La2004a
172849.434938392 = beat(68753.3156498674,49188.0648348793)
121064.922933209 = beat(183829.787234043,72993.5229512813)
1183561.64383561 = beat(72993.5229512813,68753.3156498674)
109830.508474576 = beat(183829.787234043,68753.3156498674) — correction
106535.141800247 = beat(231842.576028623,72993.5229512813)
97737.556561086 = beat(231842.576028623,68753.3156498674) — correction
west earn tie-pole love
4 nickel = pair of dime
La2011 Table 6 La2010a
172803.663437665 = beat(68760.6112054329,49188.090971097)
121223.458984192 = beat(183569.40509915,73009.9712692243)
1181403.82862352 = beat(73009.9712692243,68760.6112054329)
109942.314217849 = beat(183569.40509915,68760.6112054329)
106745.737583395 = beat(231016.042780749,73009.9712692243)
97899.9848919776 = beat(231016.042780749,68760.6112054329)
A!sh can-aussie?
euro pass down too earth
mole UN crave ITCZ semantic lime [mute] miss story
CO[sov.]$sing?goal!near0[rwell]peek?
polar myth
snowed out
weather math
4-point too
in clue notion
phi lipSFound
guardin’Y’all
owe bri˚k crew
dance rink
wesst yen: why’s air dove us?
mole hear mercury muck down held
for point to “What We Did Wrong” (dove hide’n’concur)
“however”
“We are required, however, to assume that the dustiness of the solar system underwent a discontinuous change at about a million years.” — mm97
not a song isle lesson too bot “We” (got the point?) are required, however, to assume ??
No CO[mm]meanT.
–
circulatory
boundary conditions
weather geographic, periodic, etc.
last 90 million years:
–
top-level annotation:
alternate ACC, Panama, Med-Tethys interpretive aid:
Ancient Earth Globe
button near top-right: display options
gives option to stop rotation & remove clouds
arrow left & right or use drop-down menu (top-center)
to change time (limited options available at present)
click on globe and move mouse to alter perspective
if someone figures out how to make lighting uniform, please share tips
orbital inclination model
http://vo.imcce.fr/insola/earth/online/earth/earth.html
“Solutions La2010 for Earth orbital elements from -250 Myr to the present
Data files here”
http://vo.imcce.fr/insola/earth/online/earth/La2010/index.html
file:
La2010a_alkhqp3L.dat
last 2 columns: q & p
calculate:
I = 2*asin(√(q^2+p^2))
recipe made simple here:
2018 Linda Hinnov
Chapter One – Cyclostratigraphy and Astrochronology
Some comments re above links:
1 2018 Linda Hinnov hapter One – Cyclostratigraphy and Astrochronology
Quote (5.3) ” Many stratigraphic records of paleoclimatic proxy series (e.g., Mediterranean sapropel sedimentary records, marine oxygen isotope and carbon isotope data, natural gamma ray (GR) logs, magnetic susceptibility, core-scanning XRF data, etc.) in the Cenozoic can be directly tuned to astronomical targets such as 65°N summer insolation, obliquity and eccentricity–”
Mediterranean sapropel record align with events centering around the Eddy 980yr cycle. In link here below they are also aligned with North Atlantic ice rafting, which also indicate the abruptness of events. Link https://melitamegalithic.wordpress.com/2018/04/24/searching-evidence-2/
2 Jonathan Horner ‘Quantifying the Influence of Jupiter on the Earth’s Orbital Cycles’
“–Once the remaining (stable) simulations were complete, we extracted the evolution of Earth’s orbital elements at 1000 yr intervals to determine the frequency and amplitude of the variations that occurred in Earth’s orbit. ” The 1k interval erases the more important Eddy.
And
“Given that the seasons are driven by the inclination of a
planet’s axis with respect to the plane of its orbit, rather than
the absolute orientation of that axis in space, changing the
inclination of a planet’s orbit while the absolute orientation of
the axial tilt remains fixed would result in an equivalent change
in the tilt of the planet’s axis with respect to the plane of its
orbit. As a result, the extent of the polar circles would vary
dramatically on a planet experiencing changes in orbital
inclination greater than 10°,
Our results reveal the sensitivity of the solar system’s stability to
Jupiter’s orbit, with some ∼74% of the variant systems proving
catastrophically unstable within the 10 Myr of our integrations. For
the subset that proved stable, we found that both the periods and
amplitudes of the oscillations in Earth’s orbital elements varied
markedly as a function of Jupiter’s initial orbital elements. When
Jupiter began on an orbit closer to the Sun, the periodicity of
Earth’s orbital element variation was typically shorter than when
Jupiter was more distant. Simultaneously, the amplitude of the
Earth’s orbital cycles varied as the giant planet was moved through
the solar system, with some stable solar system variants featuring
oscillations in Earth’s orbital inclination that approached, or even
exceeded, ten degrees.”
3 Laskar 2010 “we have provided here only the eccentricity solution. Although
the model for the Earth rotational evolution has been improved, the main uncertainty linked to the evolution of the tidal dissipative effect in the past is still the main unknown parameter for the precession and obliquity evolution. We thus do not believe that a new rotational solution would provide more insight than La2004, unless a full analysis of the geophysical effects were made, in confrontation with the geological records, an analysis that is beyond the scope of the present paper. “
oldmanK, many of us say very little of what we think (with good reason).
Observation
China vs. S. America:
–
N. vs. S. Africa:
clarification: the last plots are monsoons (this is review)
invariable inclination (see above; mm97 fig. 3D)
Mercurial
‘what we did wrong’ in clue notion:
“100-kyr period is a single, narrow peak” — mm97
Linda Hinnov’s panel D shows definitive terms of invariable inclination :
the “best” of mm97:
“lag representing the delayed ice response to inclination. The best fit had a lag of 33 ± 3 kyr”
“cause I got to know”
borrowing a phrase from Lenny,
concise interpretation of mm97:
“R you gonna go my way?” — CraveITCZ
I know some of you can see where this is going.
=
The length of day is H/Pi (I don’t have the easy facility to use greek notation here, the English version of such notation is italicised from here on). H itself is the hour angle at sunset. H is calculated using latitude (phi) and the declination of the sun (delta), presented in terms of Excel formulae the formula for H is:
H = ACOS(-TAN(phi)*TAN(delta))
And here we hit a problem, in the Arctic the sun never rises for periods in the winter, and never sets for periods in the summer, the result is that the -TAN(phi)*TAN(delta) produces unphysical results which are greater than +/-1 so the ACOS (inverse cosine) generates a numeric error at high latitudes in summer and winter. A cosine always returns a result between +1 and -1 so the inverse cosine cannot be fed with a number outside that range.
H = ACOS(
IF(ABS(-1*TAN(phi)*TAN(delta))>1,SIGN(-1*TAN(phi)*TAN(delta)),-1*TAN(phi)*TAN(delta))
)
Already that looks a bit daunting, but it isn’t too bad really. ABS() is a function that produces the absolute numeric value, without the sign of the number. SIGN() is a function that produces a +1 if the sign of the number is positive, and a -1 if the sign of the number is negative. So the above is described by:
If ABS(-TAN(phi)*TAN(delta)) is greater than 1 then use the sign of the “-TAN(phi)*TAN(delta)” part, otherwise use the actual value “-TAN(phi)*TAN(delta)”.
This means the result is always equal to or less than 1 and stops the numeric errors at the polar regions.
=
http://dosbat.blogspot.com/2014/12/calculating-insolation-as-function-of.html
more curious
“single narrow peak” ?
within clue know sh!..invariable :
“[20] If i’ is now considered, the term number 5 is excluded, and the largest amplitudes are those coming from the Earth associated with Mercury, Mars, and Venus. In this case, the periods of the most important terms are given by s3 – s1 leading to 98,046 years and s3 – s2 leading to 107,478 years (s3 – s4 leads to a period of 1,282,533 years corresponding to the second most important term in amplitude as clearly seen in Figure 3c). Combination tones of s4 with s1 and s2 lead also to periods not far from 100 kyr, 106,160 years and 117,308 years, but with a much lower amplitude.”
2005 on the origin of the 100-kyr cycles in the astronomical forcing (review)
“the term “forcing” is distinguished from “pacing” “ — Linda Hinnov
2021 high-resolution interannual precipitation reconstruction of Southern California: implications for Holocene ENSO evolution
last image is from
2020 interannual Southern California precipitation variability during the Common Era and the ENSO teleconnection
Tropic Cal. SST? IC:
CO wrote
game of
˚C old
K parable:
“You knew I was a snake when you picked me up.”
SunUKin pi ˚C “up!” yell?
low sea: DO moon stir?
Talk ˚C more on US:
f(1,k) sh!.. sign weave attitude ±8˚ along got clued.
Balance fashion with a good private laugh at “dumb masses” weather left & right.
min no. SST AR of finance:
99.7% of variance (!include$400k)
left 0.3% residual (more on too hysterical cause rightly “why T ease?”)
tropical heat limits$
hydro logiCal.UK$spurt
$sedimentation record$
sea? love all mystery:
ate pie$in La[2004]mmm “duh” (misinterpret, misunderstand, misrepresent) over -won 8 Tie- :
8˚ latitude rightly left “too fine!!” tune (bore US D part meanT$ B!low)
λ? $sol along IT clue D in ray D UN$
sign D B8:
shape eq. what? too: Rial
Crus$-UK!sh!yuan snakin’thru www “eak!” www in uk$
A B C magaheresy D weather Cal’em -50:0 or 0:+20:
=1368/PI()*(1+$B2*COS(λ-$D2-PI()))^2/(1-$B2^2)^2*(IF(ABS(-TAN(8*pi()*sin(λ)/180)*TAN(ASIN(SIN($C2)*SIN(λ))))>1,SIGN(-TAN(8*pi()*sin(λ)/180)*TAN(ASIN(SIN($C2)*SIN(λ)))),ACOS(-TAN(8*pi()*sin(λ)/180)*TAN(ASIN(SIN($C2)*SIN(λ)))))*SIN(8*pi()*sin(λ)/180)*SIN(ASIN(SIN($C2)*SIN(λ)))+COS(8*pi()*sin(λ)/180)*COS(ASIN(SIN($C2)*SIN(λ)))*SIN(IF(ABS(-TAN(8*pi()*sin(λ)/180)*TAN(ASIN(SIN($C2)*SIN(λ))))>1,SIGN(-TAN(8*pi()*sin(λ)/180)*TAN(ASIN(SIN($C2)*SIN(λ)))),ACOS(-TAN(8*pi()*sin(λ)/180)*TAN(ASIN(SIN($C2)*SIN(λ)))))))
hears beer US left tune$
www[R]ite zzzooom[B!]cro[www]n(((Bore[D]-US)))
spatiotempoRally balancingWexe
Waving the line of equatorial extreme insolation equivalence:
0
ε
Rightly left 0.3% of variance in residuals.
Academics “too easily” solve algebraICally.
Turnin’ IT upsideDown for 400k
Human rights left-a-line of equivalence Jan. 9 (within clue notion) :
“N/S monsoons hint: more careful tropical – not just equatorial extremes but spatially-meandering-in-time tropical – insolation aggregation criteria”
tropical heat limits
hydrological export
sedimentation records
“Figure 17 Major sequences of g2 – g5 cycles in the cyclostratigraphic record. A detailed list of the numbered sources (1-50) appears in Appendix G.” — Cyclostratigraphy and Astrochronology in 2018 – Chapter 1 by Linda Hinnov
Hawk Key
Exploring change of tropical sampling cross-section shape from sine-wave — “line of equivalence” with latitude simply coupled to longitude — to straight equatorial “line of non-equivalence”:
Recently I learned from another talkshop commentator that MO = MET-Office (in hawk key may be).
“99.7%” MO run “No!!” where???
0=horizontelltimeline
Eccentricity (black line) with contrast Wemaxe – Wemine (light grey) :
r^2 = 0.999
The thing to note for those refining Ashkenazy & Gildor (2008) is that the obliquity wiggles (main component of the 0.3% residuals illustrated above) cancel in the contrast because they point in the same direction for max & min.
__
This exploration has raised a lot of serious questions about the INTERPRETATION of proxy records.
To be blunt and frank (not because I’m rude — I’m not — but to provoke deeper thoughtfulness) :
I suspect extremely incorrect interpretations of proxy records may be pervading and saturating the discussion space (interpretations effectively orthogonal to reality, rooted in the space of creatively prescriptive consensus imagination). I already knew extremely incorrect assumptions were pervading the modeling and “physics” (meaning in particular physics defiantly ignoring periodic & geographic boundary conditions) “discussion” (in quotes because of persistently abusive and harassing reliance on strictly false ASSUMPTIONS) space.
The amount of work to arrive a correct INTERPRETATION (never mind “physical” modeling before observation record interpretations are correct) of observational RECORDS? Stupendous. Have to slow down and do it justly. How long will it take? Lifetimes no doubt. Those who demand the debate end right now and they win are savagely aggressive bullies reprehensibly undermining stability and security (on purpose, apparently, raising deep questions about true motives). My suggestion is instantly agree-to-disagree to save time for more important things.
100k & 400k are manifest but incorrectly interpreted and therefore modelled incorrectly …but had to look at a model more carefully than anyone else did to realize this.
Side benefit of this exercise is new appreciation for what this indicates (no time to explain but noting now) :
25811.3691836373 = beat(0.240846697327135,0.24084445)
25757.05496809 = beat(0.615197263396975,0.61518257)
25763.987503107 = beat(1.00001743371442,0.99997862)
25902.4692610417 = beat(1.88084761346252,1.88071105)
23094.6280196893 = beat(11.8626151546089,11.85652502) ———–
36133.4834429379 = beat(29.4474984673838,29.42351935) ——–
26114.2236547808 = beat(84.016845922161,83.74740682)
25259.6956047048 = beat(164.791315640078,163.7232045)
interpretive note:
in the 3rd column of the tall vertical strip above I accidentally set the 0 color to yellow instead of white — adjustment to white reveals the perfect mirror symmetry with column 2
Review
64000.2003306634 = beat(36133.4834429326,23094.6280196893)
Primorial Mnemonic “with Eccentric Inclination”
30030 = 13*11*7*5*3*2
23094.6704606629 = axial(100000,30030)
36133.6511923473 = beat(64000,23094.6704606629)
100458.095751441 = beat(1.00002638193018,1.00001642710472) — NASA “factsheet” fits
111759.01908408 = beat(1.00002638193018,1.00001743371442) —- Seidelmann 1992 Keplerian
105807.660696331 = harmean(111759.01908408,100458.095751441)
993467.339771205 = beat(111759.01908408,100458.095751441)
993467.339771205 = beat(1.00001743371442,1.00001642710472)
thus string tropical SST with due attention to orientation
might not be time to pull this all together so just linking for now to this and that
observed in LOD:
0.0748024157783867 = axial(0.999978614647502,0.0808503463381246)
simple step from there based on Southern Ocean, SAO, & QBO records gives:
208.076918907664 = slip(96.1613372617316,0.0748024157783867)
Jupiter-Earth “NASA factsheet fits” review:
1.09208381849802 = beat(11.8619822039699,1.00001642710472)
85.8241422239818 = slip(11.8619822039699,1.00001642710472)
208.060899534332 = slip(85.8241422239818,1.09208381849802)
cannot overstate how suspicious I am about this “k” stuff
(and assumptions about tidal dissipation underpining it)
so-called “insolation” & “solar variation” proxies INCLUDE (SEVERELY misinterpreted) lunisolar
in some cases MOST of content looks lunisolar (keep in mind shape of tides varies spatially)
careful reading old notes — e.g. famous “expert” extract of geomagnetic aa index called “solar wind” despite major lunisolar content (alerted Pukite – curious to see the spin)
community request:
need ALL lunar orbit PERIODS as a function of geological time
careful 400k vs. 100k interpretation of qualitatively & spatiotemporally differing records is key
sufficient time & wealth decisively isn’t available for refined communication (back to crude…)
for those who forgot (or never knew) – recall:
“Sidereal orbit period data were corrected. Previous values were taken from p.704 in reference [B] where they were incorrectly labeled as Sidereal instead of Tropical. The corrected values are derived from the mean longitude rates shown in Table 5.8.1 in reference [B].”
Try to follow the pea under the shells.
“Experts” demonstrate ability to be incomprehensibly abusive, but they fail (on purpose I suspect in climate discourse) to identify simple sources of enduring communication obstacles.
Tropical censor sh…
op vague SST
1974 Seidelmann et al. mean elements of the principal planets
=
Due to recent advances in the field of planetary theory and to new requirements for accurate ephemerides, the need has arisen for improved values of mean elements of the planets.
[…]
Special mention should be made of the mean longitude. Unlike the other elements, the expression for the mean longitude is not derived from theory, but is rather an empirical relation obtained from an analysis of observations. It is thus advantageous to use the most recent observational analyses.
[…]
The mean sidereal motion is defined as the secular variation of the mean longitude after variations because of the motions of the equinox and ecliptic have been removed.
=
BackSSTory: calendar month aliasing will fool weather masses…0=Macronode out about IT.
Hype ________ ?
=
Dear ________,
I write requesting concise clarification on mean orbit periods listed on 2 […] webpages.
The very last note on this page:
https://ssd.jpl.nasa.gov/planets/phys_par.html
“Sidereal orbit period data were corrected. Previous values were taken from p.704 in reference [B] where they were incorrectly labeled as Sidereal instead of Tropical. The corrected values are derived from the mean longitude rates shown in Table 5.8.1 in reference [B].”
refers to:
“[B] Explanatory Supplement to the Astronomical Almanac. 1992. K. P. Seidelmann, Ed., p.706 (Table 15.8) and p.316 (Table 5.8.1), University Science Books, Mill Valley, California.”
Compare sidereal-tropical beat from Seidelmann 1992 with:
https://nssdc.gsfc.nasa.gov/planetary/factsheet/
which links to – for example:
https://nssdc.gsfc.nasa.gov/planetary/factsheet/jupiterfact.html
https://nssdc.gsfc.nasa.gov/planetary/factsheet/saturnfact.html
“factsheet”
21186.7405669055 = beat(0.240845995893224,0.240843258042437) –
23038.6453091007 = beat(0.61519780971937,0.615181382614647) –
26089.1428478524 = beat(1.00001642710472,0.999978097193703)
184584.613878913 = beat(1.88084873374401,1.8808295687885) – – – –
25762.0064305964 = beat(11.8619822039699,11.8565229295003)
25779.6502299353 = beat(29.4571389459274,29.4235181382615)
26586.2057581826 = beat(84.0120465434634,83.7474058863792)
25325.9724557857 = beat(164.788501026694,163.723203285421)
Seidelmann 1992
25811.3691836373 = beat(0.240846697327135,0.24084445)
25757.05496809 = beat(0.615197263396975,0.61518257)
25763.987503107 = beat(1.00001743371442,0.99997862)
25902.4692609995 = beat(1.88084761346252,1.88071105)
23094.6280196825 = beat(11.8626151546089,11.85652502) ———-
36133.4834429326 = beat(29.4474984673838,29.42351935) ———-
26114.2236547808 = beat(84.016845922161,83.74740682)
25259.6956047041 = beat(164.791315640078,163.7232045)
Reorganized:
top
bottom
“factsheet”
Seidelmann 1992
21186.7405669055 = beat(0.240845995893224,0.240843258042437) –
25811.3691836373 = beat(0.240846697327135,0.24084445)
23038.6453091007 = beat(0.61519780971937,0.615181382614647) –
25757.05496809 = beat(0.615197263396975,0.61518257)
26089.1428478524 = beat(1.00001642710472,0.999978097193703)
25763.987503107 = beat(1.00001743371442,0.99997862)
184584.613878913 = beat(1.88084873374401,1.8808295687885) – – – –
25902.4692609995 = beat(1.88084761346252,1.88071105)
25762.0064305964 = beat(11.8619822039699,11.8565229295003)
23094.6280196825 = beat(11.8626151546089,11.85652502) ———-
25779.6502299353 = beat(29.4571389459274,29.4235181382615)
36133.4834429326 = beat(29.4474984673838,29.42351935) ———-
26586.2057581826 = beat(84.0120465434634,83.7474058863792)
26114.2236547808 = beat(84.016845922161,83.74740682)
25325.9724557857 = beat(164.788501026694,163.723203285421)
25259.6956047041 = beat(164.791315640078,163.7232045)
Seeking [“expertise”] on lines marked ———- in particular.
(also suspicious is line marked – – – – & to lesser extent – )
[…] need to be sure I understand what beat [“experts”] expect for Jupiter & Saturn […]
=
“Rhythm Intervention” – s_g_
64000.193822779 = (7920/(490/((245/(φ^22+1/11)^(e/11+1/22)+((245/(φ^22+1/11)^(e/11+1/22))^2+980)^(1/2))/2)))^2/2
23094.6271722684 = axial(64000.193822779,36133.4834429326)
36133.4855173371 = beat(64000.193822779,23094.6280196825)
172803.663437665 = beat(68760.6112054329,49188.090971097)
173344.985076749 = harmean(173889.708842077,172803.663437665)
402617.198185054 = beat(304405.279928371,173344.985076749)
402617.198185054 = harmean(405568.048748278,399708.977321759)
399708.977321759 = beat(304405.279928371,172803.663437665)
245k = 5 * 70^2 (Leech)
24499.9774910858 = beat(402617.198185054,23094.6280196825)
396k = 5 * 7920 (M11)
412688.975966121 = 4 * 103172.24399153 (which is NOT a function of k)
39600.7775115227 = beat(412688.975966121,36133.4834429326)
36132.8361217509 = axial(412688.975966121,39600)
Keep an eye on the pea under the shells:
——————————————————————
16.9122914926352 = harmean(29.4474984673838,11.8626151546089)
61.0464822565173 = slip(29.4474984673838,11.8626151546089)
111.292543528394 = harmean(164.791315640078,84.016845922161)
19.9428577113341 = beat(111.292543528394,16.9122914926352)
9.97142885566705 = 19.9428577113341 / 2
5090.68769455895 = slip(19.9428577113341,19.8650360864628)
2545.34384727948 = slip(19.8650360864628,9.97142885566705)
16.913815782277 = harmean(29.458898340273,11.8622656477005)
60.9394681342233 = slip(29.458898340273,11.8622656477005)
111.292543528394 = harmean(164.791315640078,84.016845922161)
19.9449772648344 = beat(111.292543528394,16.913815782277)
9.97248863241718 = 19.9449772648344 / 2
4600.01084147709 = slip(19.9449772648344,19.8588720868409)
2300.00542073855 = slip(19.8588720868409,9.97248863241718)
——————————————————————
16.9132429331814 = harmean(29.4571606229388,11.8619838764212)
60.9469055501311 = slip(29.4571606229388,11.8619838764212)
111.292543528394 = harmean(164.791315640078,84.016845922161)
19.9441806993309 = beat(111.292543528394,16.9132429331814)
9.97209034966545 = 19.9441806993309 / 2
4642.77781368518 = slip(19.9441806993309,19.8588720868409)
2321.38890684259 = slip(19.8588720868409,9.97209034966545)
16.9021472081198 = harmean(29.42351935,11.85652502)
61.0914225103732 = slip(29.42351935,11.85652502)
110.812300014126 = harmean(163.7232045,83.74740682)
19.9442312821932 = beat(110.812300014126,16.9021472081198)
9.97211564109662 = 19.9442312821932 / 2
4640.03832590615 = slip(19.9442312821932,19.8588720868409)
2320.01916295308 = slip(19.8588720868409,9.97211564109662)
16.9132376600574 = harmean(29.4571389459274,11.8619822039699)
60.9470469878813 = slip(29.4571389459274,11.8619822039699)
111.287690909751 = harmean(164.788501026694,84.0120465434634)
19.9443292139205 = beat(111.287690909751,16.9132376600574)
9.97216460696023 = 19.9443292139205 / 2
4635.02503296546 = slip(19.9443292139205,19.8588772513307)
2317.51251648273 = slip(19.8588772513307,9.97216460696023)
16.9132606717144 = harmean(29.4571726091513,11.8619993833167)
60.9472122984759 = slip(29.4571726091513,11.8619993833167)
111.291640445866 = harmean(164.770559417647,84.021212742844)
19.9442343675323 = beat(111.291640445866,16.9132606717144)
9.97211718376616 = 19.9442343675323 / 2
4641.94746585408 = slip(19.9442343675323,19.8589101021728)
2320.97373292704 = slip(19.8589101021728,9.97211718376616)
M11 — 7920 = 5 * Φ(4370) — B
Halstatt Orientation Supplement
11.8622656477005 = beat(24499.9774910858,11.85652502)
29.458898340273 = beat(24499.9774910858,29.42351935)
11.8619838764212 = beat(25763.987503107,11.85652502)
29.4571606229388 = beat(25763.987503107,29.42351935)
~Earth-Saturn synodic period in days
378 = 2+3+5+7+11+13+17+19+23+29+31+41+47+59+71
mystery us
uk$scent trick reference frame
forensically reverse-engineered diagnostics
officialukesplanation? UNownin clue notion(was$dim)
1.0351581689944 = beat(29.4571389459274,1.00001642710472)
378.091521225203 = 1.0351581689944 / 365.25
1.03515922082507 = beat(29.42351935,0.99997862)
378.091905406355 = 1.03515922082507 / 365.25
1.0351711566943 = beat(29.4474984673838,1.00001743371442)
378.096264982591 = 1.0351711566943 / 365.25
For those who understand, that’s a wrap.
Let the number theory technicians earn their pay sorting out the details of the leak.
This is just the high-level overview for mangers directing them: 47 = 883 – 836
8.45690789113849 = axial(29.458898340273,11.8622656477005)
55.6462717641972 = axial(164.791315640078,84.016845922161)
9.97248863241718 = beat(55.6462717641972,8.45690789113849)
2300.00542073845 = slip(19.8588720868409,9.97248863241718)
8.45662146659068 = axial(29.4571606229388,11.8619838764212)
55.6462717641972 = axial(164.791315640078,84.016845922161)
9.97209034966544 = beat(55.6462717641972,8.45662146659068)
2321.38890684269 = slip(19.8588720868409,9.97209034966544)
8.45107360405992 = axial(29.42351935,11.85652502)
55.4061500070632 = axial(163.7232045,83.74740682)
9.97211564109662 = beat(55.4061500070632,8.45107360405992)
2320.01916295317 = slip(19.8588720868409,9.97211564109662)
8.45661883002872 = axial(29.4571389459274,11.8619822039699)
55.6438454548753 = axial(164.788501026694,84.0120465434634)
9.97216460696023 = beat(55.6438454548753,8.45661883002872)
2317.51251648273 = slip(19.8588772513307,9.97216460696023)
8.45663033585722 = axial(29.4571726091513,11.8619993833167)
55.6458202229328 = axial(164.770559417647,84.021212742844)
9.97211718376616 = beat(55.6458202229328,8.45663033585722)
2320.97373292704 = slip(19.8589101021728,9.97211718376616)
This should have been pointed out to us UPFRONT in 2008.
My God, the amount of time that has been wasted BECAUSE OF “experts”.
[…] COMMENTSPaul Vaughan on Orbital resonance and the cele…Hasbeen on The Era of Cheap Renewables Gr…Jim Rose on The Era of Cheap Renewables […]
increasing model transparency
loose ends (omitted from last – only crude ops feasible)
8.4561457463176 = axial(29.4474984673838,11.8626151546089)
55.6462717641972 = axial(164.791315640078,84.016845922161)
9.97142885566705 = beat(55.6462717641972,8.4561457463176)
2545.34384727959 = slip(19.8650360864628,9.97142885566705)
8.45107244201154 = axial(29.4235181382615,11.8565229295003)
55.4061494593224 = axial(163.723203285421,83.7474058863792)
9.97211404085284 = beat(55.4061494593224,8.45107244201154)
2319.96076275951 = slip(19.858866774147,9.97211404085284)
venus & earth g_
130697.862041146 = beat(173913.043478261,74619.9907876555)
130711.04387292 = beat(173889.708842077,74619.9907876555)
130777.916695678 = beat(173804.240903943,74626.0277273697)
with Seidelmann 1992 tropical
beats of adjacent orbital invariant quantities:
reinforces earlier suspicion
130762.093818127 = 1/(3/11.85652502-8/29.42351935-2/83.74740682+7/163.7232045)
Something new; https://pubs.geoscienceworld.org/gsa/books/book/2323/chapter/131987270/Links-of-planetary-energetics-to-moon-size-orbit
Simple Review
1800 ~= harmean(2320,1470)
Invariant Justice: Tropical Perspective
– – –
306.569043655214 = axial(2320.01916295306,353.247418066817)
271.34896351644 = axial(2361.9251266408,306.569043655212)
2361.92512664087 = beat(306.569043655212,271.348963516441)
2320.01916295297 = beat(353.247418066817,306.569043655212)
306.928837833853 = harmean(307.289477524843,306.569043655213)
307.289477524843 = beat(2320.01916295306,271.348963516441)
306.569043655213 = beat(2361.9251266408,271.348963516441)
130762.093817919 = beat(307.289477524843,306.569043655213)
352.770921348626 = harmean(353.247418066815,352.295708395051)
353.247418066815 = beat(2320.01916295306,306.569043655212)
352.295708395051 = beat(2361.9251266408,306.569043655212)
130762.093817928 = beat(353.247418066815,352.295708395051)
– – –
fashion: beige in “off ice” hawkey
706.494836133634 = 2 * 353.247418066817
416.693386667556 = beat(2320.01916295306,353.247418066817)
415.369747516801 = beat(2361.9251266408,353.247418066817)
416.030514275073 = harmean(416.693386667556,415.369747516801)
507.919692040951 = beat(353.247418066817,208.346693333778)
504.004280601504 = beat(353.247418066817,207.684873758401)
505.954411420763 = harmean(507.919692040951,504.004280601504)
208.346693333778 = beat(353.247418066817,131.0518219277)
207.684873758401 = beat(353.247418066817,130.789663023265)
208.015257137536 = harmean(208.346693333778,207.684873758401)
95.5890777971003 = axial(353.247418066817,131.0518219277)
95.4495276864937 = axial(353.247418066817,130.789663023265)
95.5192517724305 = harmean(95.5890777971003,95.4495276864937)
65.5259109638502 = axial(208.346693333778,95.5890777971003)
65.3948315116324 = axial(207.684873758401,95.4495276864937)
65.4603056185641 = axial(208.015257137536,95.5192517724305)
65.4603056185641 = harmean(65.5259109638502,65.3948315116324)
131.0518219277 = axial(353.247418066817,208.346693333778)
130.789663023265 = axial(353.247418066817,207.684873758401)
130.920611237128 = harmean(131.0518219277,130.789663023265)
147.743061068654 = beat(353.247418066817,104.173346666889)
147.078348390121 = beat(353.247418066817,103.8424368792)
147.409955389396 = harmean(147.743061068654,147.078348390121)
32690.5234544888 = beat(65.5259109638502,65.3948315116324)
65381.0469089706 = beat(131.0518219277,130.789663023265)
32690.5234544826 = beat(147.743061068654,147.078348390121)
65381.0469089651 = beat(208.346693333778,207.684873758401)
65381.0469089659 = beat(507.919692040951,504.004280601504)
130762.09381793 = beat(416.693386667556,415.369747516801)
free: dim TrusT “experTease”
“CO[T] in the crowd” node out
147.409955389396 / 5
2361.92512664087 / (378-178)
8.432 = axial(29.4819910778792,11.809625633204)
16.864 = harmean(29.4819910778792,11.809625633204)
59 = average(47,59,71) = 2 * 29.5 = 5 * 11.8
2020 Scafetta: orbital invariant inequalities
for each row calculate:
1/(J/11.85652502-S/29.42351935-U/83.74740682+N/163.7232045)
Seidelmann 1992 tropical periods from Table 15.6: 0.24084445, 0.61518257, 0.99997862, 1.88071105, 11.85652502, 29.42351935, 83.74740682, 163.7232045
15 = √(2545-2320)
290 = 2320 / 8
typo correction:
1/(J/11.85652502+S/29.42351935+U/83.74740682+N/163.7232045)
Nicola Scafetta, Desmond King-Hele was a member of the guided weapons team which my father led at the Royal Aircraft Establishment. Apparently he was looking for planetary correlations with climate variability.
back of the [e]nvelop[e] ————– (11[.5]k)
23094.6280196825 = beat(11.8626151546089,11.85652502) ————– mysterious reference frame
36133.4834429326 = beat(29.4474984673838,29.42351935) ————– mysterious reference frame
26114.2236547808 = beat(84.016845922161,83.74740682)
25259.6956047041 = beat(164.791315640078,163.7232045)
29.4568549015456 = beat(26000,29.42351935) ————– 26k
11.8619343015705 = beat(26000,11.85652502) ————– 26k
exploratory 26k model tweak points to 836 (smallest untouchable weird number)
2323.6268618872 = harmean(2325.19242392757,2322.06340662762)
418.098666369226 = beat(2322.06340662762,354.304449033554)
417.997385519059 = beat(2325.19242392757,354.304449033554)
418.048019809793 = harmean(418.098666369226,417.997385519059)
65.7326427318224 = harmean(65.7376511462938,65.7276350804541)
209.024009904896 = harmean(209.049333184613,208.99869275953)
708.608898067108 = 2 * 354.304449033554
Proxy beware dependence on [wwwin] k
30036.4939116011 = harmean(36133.4834429326,25700)
25699.2768274784 = beat(36133.4834429326,15018)
“The “Serpent Numbers” in the Dresden codex pp. 61–69 is a table of dates written in the coils of undulating serpents. Beyer was the first to notice that the Serpent Series is based on an unusually long distance number of 1.18.1.8.0.16 (5,482,096 days – more than 30,000 years).”
15009.1608487337 = 5482096 / 365.25
25673.4038500704 = beat(36133.4834429326,15009.1608487337)
25679.8527338808 = harmean(26114.2236547808,25259.6956047041)
Seidelmann’s Assumption no doubt:
11.8620031458421 = beat(25673.4038500704,11.85652502)
29.4572794558718 = beat(25673.4038500704,29.42351935)
84.0214874105163 = beat(25673.4038500704,83.74740682)
164.773993338331 = beat(25673.4038500704,163.7232045)
130762.093817916 = beat(2361.92512664081,2320.01916295307)