After diving into this field for the last year, I very much agree with this bit:
"most of the near-term results using ML will be in areas where the ML allows us to tackle big data type problems more efficiently than we could do before. This will lead to more skillful models, and perhaps better predictions, and allow us to increase resolution and detail faster than expected. Real progress will not be as fast as some of the more breathless commentaries have suggested, but progress will be real."
https://fediscience.org/@Ruth_Mottram/113775294023850288
Ruth_Mottram - One of few #ClimateBlogs to still reliably get good comments, likely because of insightful content : @RealClimate has a very good piece by @climateofgavin on #AI in #climatemodels with which I concur completely
https://www.realclimate.org/index.php/archives/2024/12/ai-caramba/
One of few #ClimateBlogs to still reliably get good comments, likely because of insightful content : @RealClimate has a very good piece by @climateofgavin on #AI in #climatemodels with which I concur completely
https://www.realclimate.org/index.php/archives/2024/12/ai-caramba/
Three leading #climate scientists combined insights from 10 global #climatemodels and with #AI, conclude regional warming thresholds are likely to be reached faster than previously estimated.
Study projects most land regions as defined #IPCC will surpass critical 1.5°C threshold by #2040. Similarly, several regions are on track to exceed the 3.0°C threshold by #2060-sooner than anticipated in earlier studies."
https://iopscience.iop.org/article/10.1088/1748-9326/ad91ca
#climatechange #climatecrisis
@Ruth_Mottram Really excellent talk by Jun Inoue of #NIPR with really excellent new data on #clouds.
Good to hear the data is #OpenData too
The clouds are really still a big problem in #ClimateModels as there are so many knock-on effects...
“#Nature has so far balanced our abuse. This is coming to an end,” - #JohanRockström, director of the Potsdam Institute for #ClimateImpact Research.
#Trees and #land absorbed almost no #CO2 last year. Is nature’s #CarbonSink failing?
The sudden collapse of carbon sinks was not factored into #ClimateModels – and could rapidly accelerate #GlobalHeating
by Patrick Greenfield, October 14, 2024
"It begins each day at nightfall. As the light disappears, billions of #zooplankton, #crustaceans and other marine organisms rise to the ocean surface to feed on microscopic #algae, returning to the depths at sunrise. The waste from this frenzy – Earth’s largest migration of creatures – sinks to the #ocean floor, removing millions of tonnes of #carbon from the atmosphere each year.
"This activity is one of thousands of natural processes that regulate the Earth’s climate. Together, the planet’s oceans, forests, soils and other natural carbon sinks absorb about half of all #HumanEmissions.
"But as the Earth heats up, scientists are increasingly concerned that those crucial processes are breaking down.
"In 2023, the hottest year ever recorded, preliminary findings by an international team of researchers show the amount of carbon absorbed by land has temporarily collapsed. The final result was that #forest, plants and soil – as a net category – absorbed almost no carbon.
"There are warning signs at sea, too. #Greenland’s Glaciers and #ArcticIceSheets are melting faster than expected, which is disrupting the #GulfStream ocean current and slows the rate at which oceans absorb carbon. For the algae-eating zooplankton, melting sea ice is exposing them to more sunlight – a shift scientists say could keep them in the depths for longer, disrupting the vertical migration that stores carbon on the ocean floor."
Factcheck: Why the recent ‘acceleration’ in global warming is what scientists expect
"There is increasing evidence of an #acceleration in the rate of warming over the past 15 years.
This acceleration is broadly in line with projections from the latest generation of #ClimateModels.
The speed up in warming projected in the latest climate models (known as CMIP6) is similar to the acceleration estimated by prominent climate scientist Dr James Hansen and colleagues."
my features published in #CurrentBiology this year, issue 5: The #NorthAtlantic has several climate tipping elements that may pass their #TippingPoints soon, including #AMOC https://proseandpassion.blogspot.com/2024/03/tipping-over.html #science #ClimateCatastrophe #CurrentBiology #ScienceJournalism #ProseAndPassion #environment #ClimateModels
#TippingPoints are everywhere! Including and especially in #Climate, #ClimateScience, #ClimateModels, #ClimateChange and the #ClimateCrisis. Understanding tipping points in Earth's climate and #oceans are crucial to our success or failure to rescue our planet, and of course to the success or failure of #Cop28.
So what is a #TippingPoint, really? This not too technical and short article by van Nes, Arani, Staal et al. does a great job describing what tipping points are (and might be) with good illustrations. Highly recommend reading it! (Spoiler alert - there is no scientific and/or mathematical consensus on the definition of tipping point.
https://doi.org/10.1016/j.tree.2016.09.011
(Trends in Ecology and Evolution, Volume 31, Issue 12, December 2016, pages 902 - 904).
This morning @OceanIceEU is discussing deep uncertainty in #Antarctica's freshwater fluxes to the ocean.
I like this plot from the #SOFIA initiative to include freshwater from Antarctica in global #ClimateModels. It's from Swart et al 2023 and shows the slightly shocking way that the continent is often (but not always) represented in models https://egusphere.copernicus.org/preprints/2023/egusphere-2023-198/egusphere-2023-198.pdf
#Mapping where the #earth will become #uninhabitable #lethal #heat, #flooded #coastlines, powerful #hurricanes, #waterscarcity: #climatemodels show that by the end of the #century, life as #normal won’t be possible in many places. Find out where populations are projected to be hit hardest with our #3D interactive #visualisation. https://interaktiv.morgenpost.de/klimawandel-hitze-meeresspiegel-wassermangel-stuerme-unbewohnbar/en.html
Now sitting in a room with 18 people (12 Nationalities) discussing some of the coolest #ClimatePhysics and state of the art #ClimateModels on the planet.
If this sounds like something you'd like to do, #SMHI the Swedish Met institute are currently recruiting for a senior scientist in a permanent position...
I learnt several things from this article, including that in #California, insurers are banned from using #ClimateModels to estimate risk because it would increase premiums too much
We need a new #ClimateScience # now. We understand the physics of #climate pretty well (with a few notable exceptions) it's #adaptation we need to work on.
How about #CliSciNewWave? Who's in? #ClimateDiary
Why people struggle to understand climate risk from The Economist
https://econ.st/3rtIMBz
“Climate change is now reaching the end-game, where very soon humanity must choose between taking unprecedented action, or accepting that it has been left too late and bear the consequences. Therefore, it is all the more important to listen to non-mainstream voices who do understand the issues and are less hesitant to cry wolf. Unfortunately for us, the wolf may already be in the house.”
- Hans-Joachim Schnellhuber, founding director of the Potsdam Institute for Climate Impact Research [1]
There is a 10% chance, according to #ClimateModels, that we are on course for a total collapse of #Earth's #climate (the #atmosphere - #ocean #ClimateSystem) - 6°C of #GlobalWarming above #PreIndustrial (pre-1750) levels [1]. Which is what 700 ppm atmospheric #CO2 would bring. We are projected to reach 700 ppm CO2 in 2075 (and 950 ppm by 2100) [2]. This would mean not only #EconomicCollapse and complete breakdown of #human #society, but a 6th #MassExtinction of nearly all #species. And very likely near extinction of humans. Would you board an aircraft that you knew had a 10% #probability of crashing? Well, the #IPCC and most mainstream scientists apparently would. 38% of the denizens of #Mastodon who responded to a poll I did the other day would at least consider boarding an aircraft with a 1% chance of crashing. If 1% of aircraft flights ended in a crash, that would mean over 1,000 crashes per day. At 10% probability of a crash it would be 10,000 per day. Unthinkable, right? Apparently not. Not when it comes to playing with the earth's #climate. There's still a 90% chance of this not happening, after all, the IPCC reasons. So it is not “very likely”, not even “likely”. This represents ignorance of #risk and #RiskAnalysis, ignorance of the way #probability and #statistics works in #ComplexSystems, ignorance of #FatTail probability distributions, ignorance of the fact that all #NaturalSystems are complex systems, which by their nature are subject to #TippingPoints – and a bizarre belief that the #NormalDistribution (the so-called #BellCurve) applies to natural systems, which it decidedly does not. Allow me to elaborate.
A couple of days ago, I ran a #ClimateCrisis #poll masquerading as a poll asking if you would board an aircraft which you knew had a 1% chance of crashing. The hints that this poll was allegorical were the #Climate hashtags and the link to the straightforward climate poll I ran in parallel with it.) As to the latter, which asked “Can we ignore unlikely but high risk #GlobalWarming scenarios?”, 80% of respondents to both the German and English versions said “Absolutely Not! We risk annihilation of #Earth!” Only 7% picked “the #IPCC ignores these [scenarios]. Me too.” This closely mirrors a statistically valid poll of 14,000 adult German citizens published in August 2021 in which 74% of people responded that humanity is about to face an #ecological #catastrophe [3]. But surprisingly (shockingly?) 20% of respondents to the “aircraft crash” poll said they would board the aircraft even if they knew there was a 1% chance of it crashing, and 18% said they weren't sure and “would have to think about it” (94 people responded to the “aircraft” poll, 45 to the “climate” poll). Which means 38% of people would at least consider boarding such a plane. Very bad idea.
Now #Mastodon polls are in no way statistically valid (but then neither are many commercial polls that get touted by news organizations). Nonetheless, the results are very illuminating when it comes to how the IPCC, #governments, #business, and indeed the #ScientificCommunity are dealing, or rather not dealing, with the fact that there is not a 1% probability but a 10% chance that #humans have put our planet on a trajectory in which #humans and most #species may well become #extinct sometime in the 22nd Century. And #SocietalCollapse will likely happen later in our present century. The level of ignorance of #probability and #statistics in #NaturalSystems, specifically the #ocean - #atmosphere system – demonstrated by the IPCC and many mainstream scientists shockingly parallels the ignorance of these same subjects by 38% of the respondents to the “aircraft poll”. (For one thing, there are projected to be about 40,000,000 aircraft flights in 2023 [4]. If there were a 1% chance of a crash, that would mean 400,000 crashes this year, or over 1000 crashes per day. And yet, when we look dispassionately at the #ClimateScience, we are treating the very real models of human-caused global-warming (Anthropogenic Global Warming, or #AGW) as if we've intentionally boarded an aircraft that has a 10% chance of crashing. Which would mean 10,000 aircraft crashes every day. Unthinkable, right? Surely no one would ever board an aircraft if this were the case.
In the case of Earth's climate, what would constitute a “crash”, the complete collapse of human society, nearly complete #MassExtinction of most terrestrial species, a broad band (± 20° latitude north and south of the equator) of our #oceans at hot tub temperatures, and an even broader band (± 30° N/S of the equator) which would be uninhabitable for humans, and large regions even further north and south (the #American #Southwest, the interior of #Australia, most of the #Mediterranean, #Arabia, #Spain, #Portugal, #India, #Pakistan, the south of #France, to name a few) which would be uninhabitable during the summer months? Scientists agree that 6°C of global warming above #PreIndustrial (before 1750 CE) would certainly do it; quite possibly less than that, due to positive #FeedbackLoops, but let's be conservative, like most scientists, and go with 6°C. What are the chances of that? Well, the chance of 6°C of warming within the next 100 years is 10%!
Here is an excellent graphic (see attached screenshot) from the economists Gernot Wagner's and Martin Weitzman's 2015 book “Climate shock: the economic consequences of a hotter planet” [5] (well worth a read, by the way). That doesn't quite look like a Normal distribution, does it? A pretty wonky looking “bell curve”. That's because the statistics that underlie the curve are not Normally distributed. It is not a bell curve. A Normal distribution is based upon the statistical concept known as the Central Limit Theorem #CentralLimitTheorem, and the Law of [Statistical] Universality which arises from it. And that law works great – when it is applied to data whose variables do not interact with each other or with other systems, when there are no higher order interactions of variables, when there are no #FeedbackLoops, etc. If you're looking at a distribution of the heights or weights of 1000 randomly selected #penguins, or people, the data will be Normally distributed, it will follow a “bell curve”, because the Central Limit Theorem tells us it will be so, and the Law of Universality must apply. But none of this is true for natural systems, whether a #biome, an #ecosystem, or the ocean-atmosphere system that is (primarily) responsible for Earth's climate. There is another kind of statistical universality, indeed a statistical law of universality, that applies to all complex systems, and thus all natural systems, called Tracy-Widom Universality (first elaborated in 1992 by the mathematicians Craig Tracy and Harold Widom) [6]. The statistical distributions that arise from Tracy-Widom Universality are not symmetrical “bell curves” but skewed distributions with “fat tails”. Exactly that of the statistical likelihood of reaching or exceeding 6°C of global warming as shown in Wagner's and Weitzman's figure.
Are we totally screwed? Or rather, have we totally screwed ourselves and the planet? As of now, it certainly looks that way. And perhaps we are collectively okay with this. There is after all a 90% chance we won't reach or exceed 6°C of warming. But even the mainstream climate science community acknowledges we are headed for 3°C - 4°C of global warming, and headed there very soon, which will probably be more than enough to set off the collapse of the climate, of the atmospheric and ocean circulation system. And a single species, in about 300 years time, will have managed to destroy the bluest and greenest and most living of planets, 4.5 billion years in the making. It is simply not right.
[1] https://www.breakthroughonline.org.au/whatliesbeneath
[3] https://www.fom.de/2021/august/deutschlandweite-fom-umfrage-zur-klimakrise.html
[4] https://www.statista.com/statistics/564769/airline-industry-number-of-flights/
[5] https://archive.org/details/climateshockecon0000wagn/page/53/mode/1up?view=theater
[6] https://www.quantamagazine.org/beyond-the-bell-curve-a-new-universal-law-20141015/
Quite a lede: LAMOINE - A local girl has become the first person to ever apply for a permit to keep a unicorn in the town of Lamoine.
Five-year-old Brielle Hamor wrote a letter to the town on Jan. 9, formally inquiring as to whether she was allowed to keep a unicorn at her home.
---
RT @revkin
After an intense, productive @LeapStc @columbiaclimate meeting on #AI for #climatemodels, it's wonderful to catch up on this @EllsAmerican breaking …
https://twitter.com/Revkin/status/1615916368959836160
After an intense, productive @LeapStc @columbiaclimate meeting on #AI for #climatemodels, it's wonderful to catch up on this @EllsAmerican breaking news from back home in Lamoine, Maine! https://www.ellsworthamerican.com/news/unicorn-permit-sought-in-lamoine/article_ceb465b0-969a-11ed-a665-f38bc68476cc.html #mainelife
Just told to "grow up" and stop using #Fortran77 in #ClimateModels (actually I don't, ours are written in #FORTRAN90) but it has me wondering if there are any #weather + #climate models that don't use #FORTRAN as the core code apart from #UKESM?
A fuller #introduction.
My PhD was in software systems analysis: how to handle poorly understood, conflicting system requirements (#RequirementsEngineering)
This led me to explore socio-cognitive processes of large teams (#DistributedCognition, #STS, #Ethnography)
I have worked for NASA studying software safety for spacecraft (#FormalVerification, #OrganizationalBehaviour)
Now I study #ClimateModels + do #ClimateData analytics, using all the above, plus #SystemsThinking, #DataScience, & #ML