Archive for the ‘modelling’ Category

Climate models: the limits in the sky

Posted: October 13, 2020 by oldbrew in climate, Clouds, modelling, Uncertainty
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The debate about the role of clouds in climate — whether in isolation, or relative to other possible factors — rumbles on, and on, and adequate data is just not available. A rather large hole in the IPCC-claimed ‘settled science’, it seems.
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Climate modellers hope machine learning can overcome persistent problems that still cloud their results, says E&T Magazine.

The discipline of climate modelling has entered its sixth decade. Large-scale analyses of Earth’s behaviour have evolved considerably but there remain significant gaps, some persistent.

One in particular helps illustrate challenges that are now being tackled by, almost inevitably, using artificial intelligence (AI) and machine learning (ML).

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Another round of the enduring hexagon mystery.
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With its dazzling system of icy rings, Saturn has been a subject of fascination since ancient times, says Phys.org.

Even now the sixth planet from the sun holds many mysteries, partly because its distance away makes direct observation difficult and partly because this gas giant (which is multiple times the size of our planet) has a composition and atmosphere, mostly hydrogen and helium, so unlike that of Earth.

Learning more about it could yield some insights into the creation of the solar system itself.

One of Saturn’s mysteries involves the massive storm in the shape of a hexagon at its north pole.

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Teslas in Norway [image credit: Norsk Elbilforening (Norwegian Electric Vehicle Association)]


Delete ‘alone’. The study is essentially redundant, as a reduction from 0.04% of carbon dioxide’s very small share of the atmosphere won’t do anything noticeable to the climate anyway. However it does highlight some difficulties with the current policies pretending to ‘tackle the climate crisis’, such as the massive increase in electricity generation needed to power hundreds of millions of electric vehicles. Closing down all thermal power plants is not compatible with such a policy, as the researchers admit, but climate obsessives may not want to face up to that.
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Today there are more than 7 million electric vehicles (EVs) in operation around the world, compared with only about 20,000 a decade ago, says Phys.org.

It’s a massive change—but according to a group of University of Toronto Engineering researchers, it won’t be nearly enough to address the global climate crisis.

“A lot of people think that a large-scale shift to EVs will mostly solve our climate problems in the passenger vehicle sector” says Alexandre Milovanoff, lead author of a new paper published today in Nature Climate Change.

“I think a better way to look at it is this: EVs are necessary, but on their own, they are not sufficient.”

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Image credit: Science News


We highlighted this in a 2016 blog post, and now new research provides this update.
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Fairy circles are one of nature’s greatest enigmas and most visually stunning phenomena, says Phys.org.

An international research team led by the University of Göttingen has now, for the first time, collected detailed data to show that Alan Turing’s model explains the striking vegetation patterns of the Australian fairy circles.

In addition, the researchers showed that the grasses that make up these patterns act as “eco-engineers” to modify their own hostile and arid environment, thus keeping the ecosystem functioning. The results were published in the Journal of Ecology.

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Credit: NASA [click on image to enlarge]


The effects of relative proximity between these large moons seem to have been underrated. Not forgetting that Jupiter does have a big effect on Io, the closest Galilean moon to it.
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Jupiter’s “ocean world” moons may have strong gravitational effects on each other, raising big tides in each others’ subsurface seas, a new study suggests [Space.com reporting].

Surprisingly, these moon-moon tidal forces might generate more heat in the satellites’ oceans than the gravitational tugs of giant Jupiter, study team members found.

“That’s kind of interesting, because Jupiter is the biggest mass in that system, so its tidal forces are much bigger than one moon on another,” lead author Hamish Hay, who performed the work while at the University of Arizona’s Lunar and Planetary Laboratory, said in a statement.

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Quote re. the Canadian climate model…
The sticker should read: “WARNING! This model predicts atmospheric warming roughly 7 times larger than observed trends. Use of this model for anything other than entertainment purposes is not recommended.”

Climate Etc.

by Ross McKitrick

Two new peer-reviewed papers from independent teams confirm that climate models overstate atmospheric warming and the problem has gotten worse over time, not better.

View original post 1,653 more words

Still waiting


Climate modellers have a fairly dismal record in trying to predict sea ice patterns in the Arctic, always erring on the side of too much warming. Will this research do anything to improve matters? They seem to be using Earth’s past climate as a guide, while asserting that human-caused carbon dioxide is the main problem today.
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A new study, published this week in the journal Nature Climate Change, supports predictions that the Arctic could be free of sea ice by 2035, reports Phys.org.

High temperatures in the Arctic during the last interglacial—the warm period around 127,000 years ago—have puzzled scientists for decades.

Now the UK Met Office’s Hadley Centre climate model has enabled an international team of researchers to compare Arctic sea ice conditions during the last interglacial with present day.

Their findings are important for improving predictions of future sea ice change.

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Where are the limits of climate fantasy? New Zealand seems to be pushing them with this ‘assessment’.

PA Pundits - International

By David Wojick, Ph.D. ~

As a logician, I am always on the lookout for fallacies and there is no lack of them in climate change alarmist policies. New Zealand’s newly released climate risk assessment not only has multiple fallacies, they build on one another in a cascade.

This is not about New Zealand. The authors of the assessment make clear that theirs is a new approach which they hope will be used globally. So this is about the world, including America.

The massive report is titled “First national climate change risk assessment for New Zealand.” Under New Zealand’s climate law, these assessments are supposed to be done every five years and this is the first.

The scope is breathtaking. The idea is to identify all of the significant risks due to human caused climate change that will be present in 2050 and 2100. Moreover, these supposed risks are prioritized.

View original post 837 more words


Using computer models to make climate predictions? All we can say is: good luck with that.
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Providing annually-updated five-year climate predictions at global and continental scales is the focus of a new international science collaboration co-ordinated by the WMO and led by the UK’s Met Office.

For the first time, climate scientists have joined forces and resources to produce an annually-updated climate snapshot looking at the next five years.

Harnessing the best computer models from ten climate centres around the world, every year will produce a new climate prediction looking out to five years ahead.

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Instead of promoting meaningless climate thresholds, targets etc., alarmists might want to take a closer look at the neglected topic of natural factors.
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A new study demonstrates how a prolonged warming pause or even global cooling may happen in coming years despite increasing levels of atmospheric greenhouse gases — caused by natural climatic variability, says The GWPF.

Natural climatic variability has always been a topic that contains a lot of unknowns, but it has been rarely explicitly stated just how little we know about it.

Such variability has been habitually underplayed as it was “obvious” that the major driver of global temperature was the accumulation of greenhouse gasses in the atmosphere, with natural variability a weaker effect.

But the global temperature data of this century demonstrate that natural variability has dominated in the form of El Ninos.

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Image credit: Tallbloke

A few days ago I tweeted this comment above some remarkable video of the Three Gorges Dam bypass sluices.

Among other people, this was picked up by Willis, the warmist at WUWT, who used it as an opportunity to attack the reality of the Sun-climate connection:

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Credit: nationalreview.com


Climate models are too unreliable to be any serious guide to the future, as the author points out. But getting decision makers to understand that is near-impossible in many countries, hence the acceptance of alarmist nonsense.
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Shock, horror: According to the WMO and the Met Office, there is a 3% chance of the forthcoming five-year global temperature average exceeding 1.5°C, says Dr. David Whitehouse @ The GWPF.

There are several definitions of hustle. One of them is to use forceful actions to promote an action or point of view.

It’s everywhere of course and in all aspects of climate change. It’s all too apparent when scientists want grants, jobs and headlines.

It’s no new discovery that combining hustle with statistics can get you anywhere.

The recently released news from the World Meteorological Organisation (WMO), prepared by the UK Met Office, that there is a “growing chance” of the world exceeding the “Paris threshold” of 1.5°C in global temperature above pre-industrial levels is a prime example of this.

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Are climate models getting any better, or even getting worse? Their ‘projections’ almost invariably expect more warming than is observed, often a lot more. Now the uncertainty is increasing.
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As scientists work to determine why some of the latest climate models suggest the future could be warmer than previously thought, a new study indicates the reason is likely related to challenges simulating the formation and evolution of clouds, says ScienceDaily.

The new research, published in Science Advances, gives an overview of 39 updated models that are part of a major international climate endeavor, the sixth phase of the Coupled Model Intercomparison Project (CMIP6). The models will also be analyzed for the upcoming sixth assessment report of the Intergovernmental Panel on Climate Change (IPCC).

Compared with older models, a subset of these updated models has shown a higher sensitivity to carbon dioxide — that is, more warming for a given concentration of the greenhouse gas — though a few showed lower sensitivity as well.

The end result is a greater range of model responses than any preceding generation of models, dating back to the early 1990s.

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Credit: Wikipedia


H/T The Global Warming Policy Forum (GWPF).

Or relying on any climate modelling, some might say given its current tendency toward overheated predictive mediocrity.
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The purpose of global climate policy is to get us from the dangerous upper end of the forecast range down to the safe bottom end. In fact, we are already there.

Whenever you read a media story about how we’re heading toward catastrophe if we continue operating “business as usual” — i.e., if we don’t slash carbon emissions — the reports are almost always referring to a model simulation using RCP8.5.

And you can bet that nowhere in the story will they explain that RCP8.5 is an implausible worst-case scenario that was never meant to represent a likely base case outcome, or that scientists have begun castigating its usage as a prediction of a doomed business-as-usual future.

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Before the last time I had to dive deeply into politics to defend the EU referendum result, I had an email conversation with Roy Spencer in an attempt to resolve the conflict between physicists like himself, who believe the radiative greenhouse theory is correct, but it’s effect small, and physicists like Ned Nikolov, who contend that the theory is fundamentally incorrect.

After a couple of to and fro emails I sent this response in Feb 2019, to which I never received a reply. It’s time we got this discussion back out in the open, because Boris’ green reset #netzero plan for the UK post Brexit and post pandemic is set to ruin our economy and cause untold suffering, deprivation, and death.

the lukewarmers have utterly failed to convince the fanatics that although they think their theory is correct (it isn’t, but that’s their misguided opinion), they’ve overestimated the magnitude of the effect.

It’s time they stopped supporting the fanatics by deploying false arguments against better theory which will exonerate CO2 and move the debate away from ridiculous and expensive ‘mitigation’, and forward to adaption to the effects of natural climatic change.

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Another bunch of climate alarmist predictions get exposed as over-the-top doom-mongering — literally, in this case.

Coral reef islands across the world could naturally adapt to survive the impact of rising sea levels, according to new research reported at Phys.org.

Coral reef islands across the world could naturally adapt to survive the impact of rising sea levels, according to new research.

The increased flooding caused by the changing global climate has been predicted to render such communities—where sandy or gravel islands sit on top of coral reef platforms—uninhabitable within decades.

However, an international study led by the University of Plymouth (UK) suggests that perceived fate is far from a foregone conclusion.

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So when global temperatures failed to behave as models expected due to inevitable but hard to predict natural variation, they were forced to re-think – or just think? The GWPF concludes, at the risk of stating the obvious: ‘The lesson of the hiatus is that we do not understand internal climatic variability as much as many think we do, and our predictive power is less than many believe.’
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Researchers from the Universities of Princeton, California, Tokyo, Kyushu and the Scripps Institution of Oceanography, say the recent hiatus in global temperature increase has led to a surge in climate science.

The global effort to understand the global warming hiatus they say has led to increased understanding of some of the key metrics of global climate change such as global temperature and ice-cover.

Searching for an answer to the hiatus, they say, meant that the scientific community grappled with difficulties with these climate metrics, in particular the fact that they do not unequivocally portray the same story about global warming.

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Credit: BBC


What weird weather puzzle? Static high or low pressure systems (blocking patterns) are not that uncommon or unusual, but are likely to be pounced on by headline-seeking climate alarmists. And statistics for calendar months (‘wettest February’) are to some extent just arbitrary period selection. Better theories might be at least as useful as fancier computers.
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A top climate scientist has called for more investment in climate computing to explain the UK’s recent topsy turvy weather, reports BBC News.

Prof Tim Palmer from Oxford University said there were still too many unknowns in climate forecasting.

And in the month the SpaceX launch grabbed headlines, he said just one of the firm’s billions could transform climate modelling.

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Image credit: MIT


Who wants to buy a secondhand EV after reading this? Maybe sellers should have to get a test certificate stating how much life there is left in the battery.
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Modeling study shows battery reuse systems could be profitable for both electric vehicle companies and grid-scale solar operations. — Technology.org reporting.

As electric vehicles rapidly grow in popularity worldwide [Talkshop comment – do they?], there will soon be a wave of used batteries whose performance is no longer sufficient for vehicles that need reliable acceleration and range.

But a new study shows that these batteries could still have a useful and profitable second life as backup storage for grid-scale solar photovoltaic installations, where they could perform for more than a decade in this less demanding role.

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Image credit: livescience.com


They might do well to remember that historic climate data always show carbon dioxide rises *following* temperature rises, often with quite a long time lag, never leading them, which raises awkward questions for ‘heat-trapping’ theories and climate models based on them.
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A new study from University of Michigan climate researchers concludes that some of the latest-generation climate models may be overly sensitive to carbon dioxide increases and therefore project future warming that is unrealistically high, says Phys.org.

In a letter scheduled for publication April 30 in the journal Nature Climate Change, the researchers say that projections from one of the leading models, known as CESM2, are not supported by geological evidence from a previous warming period roughly 50 million years ago.

The researchers used the CESM2 model to simulate temperatures during the Early Eocene, a time when rainforests thrived in the tropics of the New World, according to fossil evidence.

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