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Climate models can’t explain 2023’s huge heat anomaly — we could be in uncharted territory

Climate models can’t explain 2023’s huge heat anomaly — we could be in uncharted territory

When I took over as the director of NASA’s Goddard Institute for Space Studies, I inherited a project that tracks temperature changes since 1880. Using this trove of data, I’ve made climate predictions at the start of every year since 2016. It’s humbling, and a bit worrying, to admit that no year has confounded climate scientists’ predictive capabilities more than 2023 has.

For the past nine months, mean land and sea surface temperatures have overshot previous records each month by up to 0.2 °C — a huge margin at the planetary scale. A general warming trend is expected because of rising greenhouse-gas emissions, but this sudden heat spike greatly exceeds predictions made by statistical climate models that rely on past observations. Many reasons for this discrepancy have been proposed but, as yet, no combination of them has been able to reconcile our theories with what has happened.

For a start, prevalent global climate conditions one year ago would have suggested that a spell of record-setting warmth was unlikely. Early last year, the tropical Pacific Ocean was coming out of a three-year period of La Niña, a climate phenomenon associated with the relative cooling of the central and eastern Pacific Ocean. Drawing on precedents when similar conditions prevailed at the beginning of a year, several climate scientists, including me, put the odds of 2023 turning out to be a record warm year at just one in five.

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Researchers: We’ve Underestimated The Risk of Simultaneous Crop Failures Worldwide

Researchers: We’ve Underestimated The Risk of Simultaneous Crop Failures Worldwide

The risks of harvest failures in multiple global breadbaskets have been underestimated, according to a study Tuesday that researchers said should be a “wake up call” about the threat climate change poses to our food systems.

Food production is both a key source of planet-warming emissions and highly exposed to the effects of climate change, with climate and crop models used to figure out just what the impacts could be as the world warms.

In the new research published in Nature Communications, researchers in the United States and Germany looked at the likelihood that several major food producing regions could simultaneously suffer low yields.

These events can lead to price spikes, food insecurity and even civil unrest, said lead author Kai Kornhuber, a researcher at Columbia University and the German Council on Foreign Relations.

By “increasing the concentration of greenhouse gases, we are entering this uncharted water where we are struggling to really have an accurate idea of what type of extremes we’re going to face,” he told AFP.

“We show that these types of concurring events are really largely underestimated.”

The study looked at observational and climate model data between 1960 and 2014, and then at projections for 2045 to 2099.

Researchers first looked at the impact of the jet stream – the air currents that drive weather patterns in many of the world’s most important crop producing regions.

They found that a “strong meandering” of the jet stream, flowing in big wave shapes, has particularly significant impacts on key agricultural regions in North America, Eastern Europe and East Asia, with a reduction in harvests of up to seven percent.

The researchers also found that this had been linked to simultaneous crop failures in the past.

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Cancellations Start for John Clauser After Nobel Physics Laureate Speaks Out About “Corruption” of Climate Science

Cancellations Start for John Clauser After Nobel Physics Laureate Speaks Out About “Corruption” of Climate Science

Dr. Clauser was due to speak to the IMF’s Independent Evaluation Office this Thursday under the title: “Let’s talk – How much can we trust IPCC climate predictions?” It would appear that “not a lot” isn’t the politically correct answer. Clauser is a longstanding critic of climate models and criticised the award of the Physics Nobel in 2021 for work on them. He is not alone, since many feel that climate models are primarily based on mathematics, and a history of failed opinionated climate predictions leave them undeserving of recognition at the highest level of pure science. Not that this opinion is shared by the green activist National Geographic magazine, which ran an article: “How climate models got so accurate they won a Nobel.”

Last week, Clauser observed that misguided climate science has “metastasised into massive shock-journalistic pseudoscience”. This pseudoscience, he continued, has become a scapegoat for a wide variety of other related ills. It has been promoted and extended by similarly misguided business marketing agents, politicians, journalists, government agencies and environmentalists. “In my opinion, there is no real climate crisis,” he added.

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Analysis: How ‘carbon-cycle feedbacks’ could make global warming worse

Analysis: How ‘carbon-cycle feedbacks’ could make global warming worse

Scientists making climate-change projections have to deal with a number of uncertainties.

The amount of global warming will depend on the magnitude of future emissions, which, in turn, depends on how society grows and develops. The rate of warming will also depend on how sensitive the climate is to increased atmospheric greenhouse gases.

Yet climate change also depends on an under-appreciated factor known as “carbon-cycle feedbacks”. Accounting for uncertainties in carbon-cycle feedbacks means that the world could warm much more – or a bit less – than is commonly thought.

The carbon cycle is the collection of processes that sees carbon exchanged between the atmosphere, land, ocean and the organisms they contain. “Feedbacks” refer to how these processes could change as the Earth warms and atmospheric CO2 concentrations rise.

The commonly used warming projections – those highlighted in Intergovernmental Panel on Climate Change (IPCC) assessment reports – include a single best-estimate of carbon-cycle feedbacks. But they do not account for the large uncertainties in these estimates.

These uncertainties are “one of the dominant sources” of divergence between different model projectionsaccording to Dr Ben Booth and colleagues at the Met Office Hadley Centre.

Climate campaigners, such as Greta Thunberg, have also expressed concern that climate projections typically do not fully incorporate the potential range of carbon-cycle feedbacks.

This article explores the implications of carbon-cycle feedback uncertainties by examining a number of modelling studies conducted by scientists over the past decade. These studies give a similar central estimate of carbon-cycle feedbacks to those used in IPCC projections.

But, at the high end, the results show these feedbacks could push atmospheric concentrations of greenhouse gases much higher – meaning more warming – from the same level of emissions.

Analysis for this article shows that feedbacks could result in up to 25% more warming than in the main IPCC projections.

…click on the above link to read the rest of the article…

November Snow In Texas? Experts Warn Decreased Solar Activity Will Shatter All Global Climate Models

November Snow In Texas? Experts Warn Decreased Solar Activity Will Shatter All Global Climate Models

Our sun has been behaving very strangely, and this unusual behavior is really starting to affect our weather patterns.  There have been virtually no sunspots in 2018 as solar activity has dropped to alarmingly low levels.  As a result, our atmosphere has been cooling and shrinking, and experts are warning that we are heading for a bitterly, bitterly cold winter.  And even though the official start of winter is well over a month away, winter weather is already sweeping the nation.  As you will see below, a giant winter storm is about to slam into the east coast, but what is happening in Texas is even more unnerving.  On Wednesday morning, the temperature in San Antonio plummeted to just 23 degrees, and that absolutely shattered the old record

“This shatters the old record low of 28 degrees set back in 1916,” the National Weather Service tweeted of Wednesday’s weather. Tuesday night just before midnight, the city hit 28 degrees, breaking the previous record of 29 set in 1907, records show.

Typically, November temperatures are significantly warmer. The average high for the month is about 71 degrees and the normal low is 51 degrees. San Antonio’s average low this year has been comparable to other years, but its average high, a cool 66.6 degrees, has been lower than normal.

Over in Houston, things were even stranger.  When Houston residents woke up on Wednesday morning, they were stunned to see snow on the ground

An incredible sight danced over the cities glistening skyscrapers of Houston this morning and likely caused many to rub their eyes and shake their heads. No, it wasn’t your lying eyes but rather the earliest snowfall ever observed in the city of Houston and surrounding areas.

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Time For Some Climate Honesty

kienyke.com

Time For Some Climate Honesty

Half-truths are doing no good

Let’s assume that you have doubts about ‘global warming’.

Some people do and, truthfully, we utterly lack the ability to accurately model how much warming will happen, where and by when (emphasis on accurately).

The reason is not for lack of trying or continual learning and model refinement, but centers on the complexity of the task.

Even seemingly simple systems that are actually complex are impossible to predictively model. An example is a pile of sand growing grain by grain that will finally slump at some unpredictable time and in an unpredictable way. You would think that such a simple system could be accurately modeled, but that’s not the case. Exactly when the pile will finally slump is unpredictable. Exactly how large the resulting slump will be is also unpredictable. The “when” and the “how much” are unknowable (using current modeling techniques).

All that can be calculated for certain is that a higher pile with steeper sides/areas (a.k.a. “fingers of instability”) is more likely to slump sooner and more catastrophically.

Now consider the tasks laid out before the global climate modelers where feedback loops abound, unknown variables still lurk, and the final result is the summation of multiple interacting complex systems. It’s not a pile of sand granules, it’s a gigantic interconnected system composed of heat flows, cloud formation, wind and oceanic patters and currents, variable solar and cosmic radiation, volcanoes and dust and jet trails and a thousand other inputs all interreacting with and influencing each other…in unpredictable ways.

It’s chaos theory (i.e. the butterfly effect) which means it’s way beyond anything we can currently model with any accuracy or confidence.

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Climate changes can kick in below 2°C limit

Climate changes can kick in below 2°C limit

CROP - tibet

Extensive melting of the snow on the Tibetan plateau could be a tipping point.
Image: katorisi via Wikimedia Commons

Sudden shifts in settled climates can occur long before global warming reaches the internationally-agreed safety level, European scientists say.

LONDON, 18 October, 2015 – Climate change could arrive with startling speed. New research has identified at least 37 “tipping points” that would serve as evidence that climate change has happened – and happened abruptly in one particular region.

And 18 of them could happen even before the world warms by an average of 2°C,  the proposed “safe limit” for global warming.

Weather is what happens, climate is what people grow to expect from the weather. So climate change, driven by global warming as a consequence of rising carbon dioxide levels, in response to more than a century of fossil fuel combustion, could be – for many people – gradual, imperceptible and difficult to identify immediately.

But Sybren Drijfhout, of the University of Southampton in the UK and his collaborators in France, the Netherlands and Germany, are not so sure.

They report in the Proceedings of the National Academy of Sciences that they “screened” the massive ensemble of climate models that inform the most recent reports from the Intergovernmental Panel on Climate Change, and found evidence of abrupt regional changes in the ocean, the sea ice, the snow cover, the permafrost and in the terrestrial biosphere that could happen as average global temperatures reached a certain level.

The models did not all simulate the same outcomes, but most of them did predict one or more abrupt regional shifts.

…click on the above link to read the rest of the article…

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