Archive for the ‘modelling’ Category

arctic-sea-ice

Arctic sea ice [image credit: Geoscience Daily]

‘New research is pouring cold water on once-hot theory’ – WashPo. Researchers refer to ‘overestimation’. (Weird in this context at least tends to mean something like ‘not well understood’).
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An influential, highly publicized theory — that a warming Arctic is causing more intense winter outbreaks of cold and snow in midlatitudes — is hitting resistance from an ongoing sequence of studies, including the most comprehensive polar modeling to date, says the Washington Post.

The idea, first put forth in a 2012 paper by Jennifer Francis, now at the Woodwell Climate Research Center, and Stephen Vavrus, at the University of Wisconsin at Madison, is that two well-established trends — Arctic amplification (intensified global warming at higher latitudes) and depleted sea ice — can force the polar jet stream to dip farther south, thus causing more intense bouts of winter weather than might have otherwise occurred.

Over the past decade, this hypothesis sparked widespread public interest and scientific debate, as various high-profile cold waves and snow onslaughts hit North America and Eurasia, including a deadly, prolonged cold wave in Texas last February.

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earth-temp

Image credit: livescience.com

It’s not as hot as we thought, they could say. That’s been obvious for a long time, but the defensive bluster of modellers has finally dried up, it seems. Time to dump the pointless and ‘implausible’ extreme scenarios and think seriously about some of the assumptions, such as greenhouse gas theory and its supposed climate consequences, and other suggested shortcomings.
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Leading climate scientists conceded that models used to estimate how much the world will warm with rising levels of carbon dioxide in the atmosphere are running too hot, reports The Australian (via The GWPF).

“It’s become clear over the last year or so that we can’t avoid this,” Gavin Schmidt, director of NASA’s Goddard Institute for Space Studies, told Science ­magazine.

The admission is seen as a significant development by scientists who argue that not enough attention has been paid to natural ­cycles in the earth’s climate.

It puts another question mark over the use of the most extreme scenarios generated by models, RCP8.5, to estimate what could be expected in a warming world.

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Amsterdam

Cooling off in Amsterdam [image credit: Amsterdamian]

Once you start believing that a change to 0.01% of the atmosphere of the Earth is a big issue, all sorts of climate hobgoblins appear on the horizon. The example here is the increasing use of air conditioners in Europe, which gets blown up out of all proportion to its importance. Enjoy the fine weather when you get it.
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“Mad dogs and Englishmen go out in the midday sun,” Noel Coward famously sang in 1931, mocking British colonials who ventured out into the scorching midday sun at the hottest time of day.

“The Dutch also still think the sun is their friend,” says researcher Lenneke Kuijer. During the August 2020 heat wave she investigated how Dutch households deal with hot weather, reports TechXplore.

“It’s time for change while it’s still possible,” she believes. “Less air conditioning, more outdoor shading and a different way of dealing with heat.”

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metofficecomputer

Weather forecasting technology

Maybe they need better ideas, not just more expensive modelling gear run by the same climate obsessives pushing worn-out theories that have never worked. Sales talk of ‘delivering the quantum leap’ sounds a bit thin after decades of posing as masters of climate understanding.
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Top climate scientists have admitted they failed to predict the intensity of the German floods and the North American heat dome, says BBC News.

They’ve correctly warned over decades that a fast-warming climate would bring worse bursts of rain and more damaging heatwaves.

But they say their computers are not powerful enough to accurately project the severity of those extremes.

They want governments to spend big on a shared climate super-computer.

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AMOC_circ

A portion of the Atlantic meridional overturning circulation [image credit: R. Curry, Woods Hole Oceanographic Institution @ Wikipedia]

Widely differing climate models are supposed to be a reliable guide to the future? Clearly not. Here the uncertainty gets investigated, and pinned on a phenomenon that was recently claimed by Mann et al not to exist. Of course all these models make the assumption that carbon dioxide at a tiny 0.04% of the atmosphere is a key variable of concern, despite all the other variability in the climate system that they have to wrestle with.
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Thirty state-of-the-art IPCC-climate models predict dramatically different climates for the Northern Hemisphere, especially Europe, says Phys.org.

An analysis of the range of responses now reveals that the differences are mostly down to the individual model’s simulations of changes to the North Atlantic ocean currents and not only—as normally assumed—atmospheric changes.

The work, by Katinka Bellomo, National Research Council of Italy, Institute of Atmospheric Sciences and Climate, and colleagues is published today in Nature Communications and is part of the European science collaboration, TiPES, coordinated by the University of Copenhagen.

All climate models vary in the details. Variables such as atmospheric pressure, cloud cover, temperature gradients, sea surface temperatures, and many more are tuned to interact slightly differently for every model. This means that the predictions of the many models also vary.

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model_warm

Climate models overheating

Explanation, or vague excuses? They seem to be saying the models are a wonder, just a shame they don’t reflect reality – mainly due to pesky natural variation.
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A new study led by Dr. Wei and Dr. Qiao from the First Institute of Oceanography, Ministry of Natural Resources provides an evaluation of the performance of the newly released CMIP6 models in simulating the global warming slowdown observed in the early 2000s, says Phys.org.

This study reveals that the key in simulating and predicting near-term temperate change is to correctly separate and simulate the two distinct signals, i.e., the human-induced long-term warming trend and natural variabilities, especially those at interannual, interdecadal and multidecadal scales.

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Scientists at the University of Michigan, NASA’s Goddard Space Flight Center in Greenbelt, Maryland, and University of Colorado Boulder recently used TSIS-1 SSI satellite data in a global climate model for the first time – and got a few surprises. Another dent in the myth of ‘settled’ climate science.
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Have you ever worn a dark T-shirt on a sunny day and felt the fabric warm in the Sun’s rays? asks NASA-GISS.

Most of us know dark colors absorb sunlight and light colors reflect it – but did you know this doesn’t work the same way in the Sun’s non-visible wavelengths?

The Sun is Earth’s power source, and it emits energy as visible sunlight, ultraviolet radiation (shorter wavelengths), and near-infrared radiation, which we feel as heat (longer wavelengths).

Visible light reflects off light-colored surfaces like snow and ice, while darker surfaces like forests or oceans absorb it. This reflectivity, called albedo, is one key way Earth regulates its temperature – if Earth absorbs more energy than it reflects, it gets warmer, and if it reflects more than it absorbs, it gets cooler.

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metofficecomputer

Weather forecasting technology

Before they even build it, everyone knows what kind of answers the ‘climate supercomputer’ will be required to produce. These will then be presented as evidence of the pre-conceived climate theories, which will be tagged as ‘science’ and everyone will be expected to be impressed.
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The Met Office will work with Microsoft on a supercomputer which will help model climate change, says BBC News.

They say it will provide more accurate weather forecasting and a better understanding of climate change.

The UK government said in February 2020 it would invest £1.2bn in the project.

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The Climate Blame Game 

Posted: April 14, 2021 by oldbrew in alarmism, climate, Critique, data, modelling, weather
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weather18

A diet of daily assertions that human-caused carbon dioxide emissions are a big deal, isn’t evidence of anything.
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A paper published today shows that attempts to blame extreme weather on human-caused global warming are “overconfident and probably wrong”, says The Global Warming Policy Forum.

The paper, by statistician and philosopher of science Dr William M Briggs, reveals that mainstream attribution science is beset by flaws of reasoning, modelling and data.

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Talkshop readers will remember that as well as his work on modelling solar activity, Rick Salvador also built a planetary model to predict variation in Earth’s Length of Day (LOD). The model uses 13 frequencies derives from planetary and lunar motion to replicate changes in Earth’s spin rate.

Rick has retired from modelling now, so this is the final update on the model’s performance. The IERS LOD database was changed in early 2020, so the model performance update ends there. Over the last 4 years, Rick found that to keep it on track, he needed to add a -0.0006 second correction in June each year. The necessity for this is as yet unexplained and comments on possible reasons are encouraged.

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emp_penguin

Emperor penguins, Antarctica [image credit: USAF / Wikipedia]

Too much alarm coming from climate models, again. This new research finds ‘some regions near Antarctica even cool under climate change’.
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The melting rate of the Antarctic ice sheet is mainly controlled by the increase of ocean temperatures surrounding Antarctica.

Using a new, higher-resolution climate model simulation, scientists from Utrecht University found a much slower ocean temperature increase compared to current simulations with a coarser resolution, reports Phys.org.

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Credit: concernusa.org


Well, knock me down with a feather. Real world data can expose flaws in ‘greenhouse gas’ infected climate models, which are unable to model El Niño and La Niña events, and mostly predict much more warming than actually occurs.
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New research shows that naturally occurring climate variations help to explain a long-standing difference between climate models and satellite observations of global warming, says Phys.org.

Satellite measurements of global-scale changes in atmospheric temperature began in late 1978 and continue to the present.

Relative to most model simulations, satellite data has consistently shown less warming of Earth’s lower atmosphere.

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Hydrogen pipelines [image credit: US Department of Energy @ Wikipedia]


This is one of several questions to be investigated by a Norwegian research team. The ultimate one may be: what happens to hydrogen’s hoped-for role in the big push for so-called green energy, if the findings are unfavourable to current climate theory?
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Hydrogen is an attractive [Talkshop comment: perhaps, but expensive] alternative to fossil fuels, especially for powering trucks, ships and planes, where using batteries isn’t so easy, says TechXplore.

Hydrogen is an attractive alternative to fossil fuels, especially for powering trucks, ships and planes, where using batteries isn’t so easy.

Batteries quickly become too large and heavy if these large transport vessels and vehicles are going to travel far.

As a result, hydrogen is being discussed like never before. Both Norway and the EU have said they will invest more in hydrogen in the years ahead.

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Canceling the AMO

Posted: March 7, 2021 by oldbrew in Critique, modelling, Natural Variation, Ocean dynamics
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‘So, what exactly is wrong with Mann’s analysis? He relies on global climate models, which are inadequate in simulating the AMO.’
‘Not at all convincing’…

Climate Etc.

by Judith Curry

Conclusion from Michael Mann’s new paper:  “We conclude that there is no compelling evidence for internal multidecadal oscillations in the climate system.”

View original post 5,076 more words

Atlantic Multidecadal Oscillation 1880 to Nov 2018 based on the ERSSTv3b dataset [image credit: Giorgiogp2, bender235 @ Wikipedia]


No prizes for guessing who is behind this one. Climate models ‘prove’ humans are the problem, not nature – heard it before?
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Volcanic eruptions, not natural variability, were the cause of an apparent “Atlantic Multidecadal Oscillation,” a purported cycle of warming thought to have occurred on a timescale of 40 to 60 years during the pre-industrial era, according to a team of climate scientists who looked at a large array of climate modeling experiments. Phys.org reporting.

The result complements the team’s previous finding that what had looked like an “AMO” occurring during the period since industrialization is instead the result of a competition between steady human-caused warming from greenhouse gases and cooling from more time-variable industrial sulphur pollution.

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Cloud formation [image credit:NASA]


‘Challenges’ is a polite way of putting it. Is the alleged human-caused climate problem really more of a human-caused climate models problem?
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Increased reflection of incoming sunlight by clouds led one current-generation climate model to predict unrealistically cold temperatures during the last ice age [Source: Geophysical Research Letters].

Key to the usefulness of climate models as tools for both scientists and policymakers is the models’ ability to connect changes in atmospheric greenhouse gas levels to corresponding shifts in temperature, says Eos.

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Ned Nikolov, Ph.D. Has written to me with news of the presentations he made at this years AMS meeting. It’s vital we get people to understand the implications of the discoveries he and Karl Zeller have made. With our western governments jumping aboard the ‘Green New Deal’ and ‘NetZero’ bandwagons, we will need to work hard to rise awareness of viable alternative hypotheses for ‘climate change’ and ‘global warming’ which better explain the phenomena we can measure around us. Ned and Karl’s work should be given proper attention, because it strives for universality and general application of physics solar system wide, rather then treating Earth as a ‘special case’.

Two studies presented at the American Meteorological Society’s 34th Conference on Climate Variability and Change in January 2021 employed a novel approach to identify the forcing of Earth’s climate at various time scales. The new method, never attempted in climate science before, relies on the fundamental premise that the laws of nature are invariant across spacetime.

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Back in 2016, the UK MET Office’s median projection to the start of 2021 forecast a global temperature temperature anomaly of 1.4C above their 1850-1900 “Pre-Industrial” baseline. Their recently published five year model projection (rightmost blue blob on graph), shows a 2021 median anomaly 0.35C lower, at 1.05C.

Their HADcruT 4GL temperature time series (data since 2016 added in red on graph) shows a linear trend of +0.09C/semi-decade for the last 50 years. CO2, by far the biggest forcing in their model, is still rising in lockstep with the 50 year temperature trend. What could have caused this remarkable downward step change in their model output?

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Antarctic sea ice [image credit: BBC]


Warming, but not global – is the polar see-saw hypothesis in play here? In any case, it seems climate models are falling short again.
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Sea ice in the Southern Ocean defies predictions.

Observations show that ice extent in the Antarctic has been growing slightly, reports The Global Warming Policy Forum (GWPF).

Paul Holland, a climate modeler with the British Antarctic Survey, has spent the last ten years studying Antarctica’s sea ice and the Southern Ocean.

Lately, he has been scrutinizing the seasons of Antarctica and how fast the ice comes and goes.

Holland thinks these seasons may be a key to a conundrum: If Earth’s temperatures are getting warmer and sea ice in the Arctic has been shrinking fast, why then is sea ice in the Antarctic slowly increasing?

Opposite poles

Sea ice is simply frozen seawater. Although found only in the Arctic and the Antarctic, it influences Earth’s climate in big ways. Its bright surface reflects sunlight back into space. Icy areas absorb less solar energy and remain relatively cool.

When temperatures warm over time and more sea ice melts, fewer bright surfaces reflect sunlight back into space. The ice and exposed seawater absorb more solar energy and this causes more melting and more warming.

Scientists have been watching this feedback loop of warming and melting in the Arctic. To them, Arctic sea ice is a reliable indicator of a changing global climate. They pay the most attention in September when Arctic sea ice shrinks to its smallest extent each year. Measured by satellites since 1979, this minimum extent has been decreasing by as much as 13.7 percent per decade.

Antarctic sea ice, on the other hand, has not been considered a climate change indicator. Whereas Arctic sea ice mostly sits in the middle of land-locked ocean—which is more sensitive to sunlight and warming air—Antarctic sea ice surrounds land and is constantly exposed to high winds and waves.

According to climate models, rising global temperatures should cause sea ice in both regions to shrink. But observations show that ice extent in the Arctic has shrunk faster than models predicted, and in the Antarctic it has been growing slightly.

Researchers are looking much closer at Antarctica, saying, “Wait, what is going on down there?” Holland is one of those intrigued.

“The Antarctic case is as interesting as the Arctic case,” Holland said. “You can’t understand one without understanding the other.”

Minding the models

To Holland, the discrepancy calls parts of the climate models into question.

Continued here.

NASA pdf: https://cdn.earthdata.nasa.gov/conduit/upload/756/NASA_SOP_2014_unexpected_ice.pdf


Another pillar of ‘settled’ climate science trembles. It’s described as ‘one of the largest uncertainties faced by climate scientists.’ Is there a list of these uncertainties somewhere?
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The impact of atmospheric aerosols on clouds and climate may be different than previously thought, reports Phys.org.

That is the conclusion of cloud researcher Franziska Glassmeier from TU Delft. The results of her study will be published in Science on Friday, January 29th.

Cloud decks cover vast stretches of the subtropical oceans. They cool the planet because they reflect incoming sunlight back to space.

Air pollution in the form of aerosols—particles suspended in the atmosphere—can increase this cooling effect because it makes clouds brighter.

The cooling effect of pollution offsets part of the warming effect of greenhouse gases. How much exactly, is one of the largest uncertainties faced by climate scientists.

Ship tracks

A striking illustration of clouds becoming brighter as a result of aerosols, is provided by shipping emissions in the form of “ship tracks.” These are visible as bright lines within a cloud deck that reveal the paths of polluting ships that travel beneath the clouds.

“Such ship tracks are a good example of how aerosol effects on clouds are traditionally thought of, and of how they are still represented in most climate models,” says Glassmeier.

But according to the cloud researcher, ship tracks do not tell the whole story.

Continued here.