#climatedata — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #climatedata, aggregated by home.social.
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Separating Fire, Earth, and Fluff: A Fifty-Year Reality Check
https://dominusmarkham.com/separating-fire-earth-and.../
#MarkhamUnfiltered #ClimateReality #WildfireCrisis #EarthquakeFacts #GlobalWarming #DataOverPanic #ClimateData #FiftyYearsOfEvidence #nodoomscrolling
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🌍 More than 820,000 climate diagrams have been created on https://climate.mapresso.com!
Where have people created climate diagrams? Explore this interactive map: https://climate.mapresso.com/explore
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AI's environmental numbers, and why everyone's are different
Per-prompt water estimates for AI range from 0.26 mL to about 519 mL. That's a factor of 2,000. Neither is wrong — they're measuring different things.
Google's 0.26 mL figure covers on-site cooling water for a median Gemini text prompt, including idle chips and data centre overhead. It excludes water consumed generating the electricity. The UC Riverside team's 519 mL figure is for a 100-word email and includes that indirect water. Google's own narrow, chip-only version of its methodology gives 0.12 mL. Sam Altman has cited ~0.39 mL for ChatGPT.
So before repeating any per-query number, check what's inside the boundary.
The aggregate picture
Data centres used about 415 TWh in 2024 — roughly 1.5% of global electricity. AI-specific facilities used about 155 TWh in 2025, or about 0.5% of world electricity. That's the total-stock view.
The growth view looks different. In 2025 data centre demand grew 17%, AI-focused facilities grew 50%, and global electricity demand grew 3%. Work that against global generation and AI accounted for something like 5–6% of all new electricity demand last year. (That last figure is my arithmetic from the IEA's growth rates and Ember's generation total, not a number the IEA publishes.)
Same year. Same data. Roughly a tenfold difference depending on which denominator you pick.
Water
Berkeley Lab estimated US data centres consumed 17.4 billion gallons directly in 2023, plus about 211 billion gallons indirectly through electricity generation. Together that's under 1% of US water consumption.
Two caveats. The indirect figure is contested — deriving it from USGS thermoelectric factors instead gives roughly half, partly because Berkeley Lab counts evaporation from hydroelectric reservoirs. And water doesn't move between basins, so a national percentage tells you very little about any specific place. Google's data centres use roughly a third of the municipal water in The Dalles, Oregon.
Concentration and efficiency both matter
Data centres are about 21% of Ireland's electricity and around 26% of Virginia's. Roughly two-thirds of data centres built since 2022 sit in water-stressed regions.
At the same time, the IEA finds energy per AI task falling by at least an order of magnitude annually. Google reports a 33× energy drop and 44× carbon drop per median prompt over twelve months. Predictions that AI would hit 20% of world energy by 2025 missed by a factor of about 40.
What nobody has
No company publishes query volumes, so per-prompt figures can't be multiplied up to totals. Best estimates put all text queries at about 2% of AI data centre electricity — the other 98% isn't publicly broken down anywhere.
Small share of the total. Large share of the growth. Very concentrated locally. Improving fast per unit of work. All four are true at once, and which one you lead with is a choice, not a fact.
Sources are all public. Go argue with the primary documents rather than with me.
Google methodology: https://cloud.google.com/blog/products/infrastructure/measuring-the-environmental-impact-of-ai-inference
Li et al., Communications of the ACM 68:54–63 (2025): https://arxiv.org/pdf/2304.03271
IEA, Key Questions on Energy and AI: https://www.iea.org/reports/key-questions-on-energy-and-ai/executive-summary
Berkeley Lab, 2024 US Data Center Energy Usage Report: https://escholarship.org/uc/item/32d6m0d1
Our World in Data summary: https://ourworldindata.org/how-much-energy-do-data-centers-and-artificial-intelligence-use
#AI #Energy #DataCenters #Sustainability #ClimateData -
Comparative Hydro-Climatic Datasets For Catchment-Wise Linked Water Fluxes And Storage Changes Across South America
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https://doi.org/10.3389/fenvs.2026.1764771 <-- shared paper
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https://doi.org/10.1038/s43247-026-03661-2 <-- shared paper
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https://doi.org/10.1002/joc.6443 <-- shared paper
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https://www.pik-potsdam.de/en/news/latest-news/from-droughts-to-floods-climate-change-and-migration-in-peru | https://publications.iom.int/books/evaluacion-de-la-evidencia-cambio-climatico-y-migracion-en-el-peru <-- shared 2021 Peru hydroclimate technical article | report
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https://youtu.be/Ngbm0gsmYAw?si=haqV7t15pGkEmJB8 <-- shared overview video
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#water #GIS #spatial #mappping #spatialanalysis #spatiotemporal #remotesensing #earthobservation #Hydrology #Hydroclimatology #ClimateChange #extremeweather #WaterResources #WaterSecurity uncertainity #SouthAmerica #ClimateData #PeerReview #OpenScience #Hydrometeorology #opendata #datasets #rainfall #precipitation #fluvial #heatwave #temperature #changing #consistency #flood #flooding #drought #riskmanagement #risk #hazard #earthsystems #resilience #waterquality #waterpollution #model #modeling #monitoring #records #hydroclimate #hydrogeomorphology #review #SouthAmerica #planning #policy #sustainability #evapotranspiration #runoff #waterstorage #SAHCD -
How can countries make better decisions when census data is incomplete or outdated?
At the 2026 Global Data Festival in Nairobi, WorldPop showcased how AI, geospatial mapping and population intelligence are helping governments improve census operations, vaccination planning, climate resilience and official statistics.
#AI #GIS #DataScience #Demography #PopulationData #PublicHealth #ClimateData #GDF2026 #GDFKSEC2026 #GlobalDatafest2026
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RE: https://fediscience.org/@rahmstorf/116742444870233764
Vanishing Research Data
Announced early in 2025
Utterly foreseeable
The reason why and what to expect next : https://www.project2025.observer
All research institutions have an urgent need of a strong and resilient Data Policy (not only in climate science).
(Oh yes, and a Software Policy too)
#ResearchData
#ResearchSoftware
#DataPolicy
#SoftwarePolicy
#ClimateChange
#ClimateData -
While research documents behavioral adaptations to heat, we lack systematic, empirical understanding of how these adaptations change daily urban mobility patterns. Here, we combine location-based digital trace mobility data from mobile phones with high-resolution #climatedata, to provide evidence that heat not only reduces activity and restructures mobility, but that it exerts variable pressures on different groups, creating #vulnerabilities and potentially amplifying #socialinequalities
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RE: https://mas.to/@CRANberriesFeed/116606326823968998
We'll try for a third time. This has been archived 2X already. This time I just removed all caching capability and basically rewrote the whole package for a major release that breaks backward capability but simplifies using it. Now it only has two single functions, one creates a data.table the other a {terra} SpatRaster of the CRU CL 2.0 climate data either by download or from local files.
https://docs.ropensci.org/getCRUCLdata/ -
Because I'm a glutton for punishment, I'm resurrecting (trying for a third time) {getCRUCLdata}. I'm not even sure that anyone uses it, but since I still have it sitting around, I've overhauled it and rewritten it to remove any caching, using {rappdirs} got me in trouble the first time, using R's own user cache directory got me in trouble the second time. So twice archived, now going back with no caching aside from in-session via {httr2}. https://codeberg.org/ropensci/getCRUCLdata #RStats #ClimateData
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🌳📈 For all those at the intersection of #AI and #climatedata – join us at the next #AILearningLabs conversation.
We will explore approaches to building a responsible climate chatbot with experts and practitioners.
🗓️ May 18
🕛 12:00 UTC
✍️ Register: https://blog.okfn.org/ai-learning-labs-climate-registration-form/ -
In 2025, all European glacier regions saw a net mass loss, with Iceland recording its 2nd‑largest loss since 1976. It was the 4th year in a row that all 19 global glacier regions lost mass. Get more insight in the #ESOTC2025 from #Copernicus Climate @ECMWF and WMO https://climate.copernicus.eu/esotc/2025/glaciers?utm_source=socialmedia&utm_medium=MA&utm_campaign=european-state-of-the-climate-2025&utm_id=ESOTC-2025
#ClimateData -
Data Accumulates: An Ancient Observatory's Enduring Task
Blue Hill Observatory near Boston has logged weather data for 141 years straight since 1885. This data helps the National Weather Service and climate researchers.
#BlueHillObservatory, #BostonWeather, #ClimateData, #WeatherHistory, #LongTermRecord
https://newsletter.tf/blue-hill-observatory-141-year-weather-record/
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The Blue Hill Observatory has collected weather data every single day for 141 years, showing how weather has changed over time.
#BlueHillObservatory, #BostonWeather, #ClimateData, #WeatherHistory, #LongTermRecord
https://newsletter.tf/blue-hill-observatory-141-year-weather-record/ -
Explore the #ESOTC2025 key events map, showing major climate and weather events across Europe. From heatwaves, wildfires & droughts to cold waves, heavy rain, flooding & more, the map highlights where major events unfolded across the continent in 2025.
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R to @euenvironment: 📷 https://climate.copernicus.eu/esotc/2025
📷 https://climate-adapt.eea.europa.eu/en#ClimateChange #EuropeanStateOfTheClimate #ClimateData #Adaptation #Copernicus
📷 climate.copernicus.eu/esotc/…
📷 climate-adapt.eea.europa.eu/…#ClimateChange #EuropeanStateOfTheClimate #ClimateData #Adaptation #Copernicus
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https://nitter.net/EUEnvironment/status/2049454436146098536#m -
Climate Extremes: A Divergent Picture Emerges
Are hot and cold extremes declining in the US? See regional data and scientific debate on temperature changes since 1899.
#ClimateData, #USWeather, #ExtremeHeat, #ColdSnap, #ClimateScience
https://newsletter.tf/us-heat-cold-extremes-mixed-regional-trends/
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New data shows mixed trends for US temperature extremes. While some regions see fewer heatwaves, others experience more, and cold snaps are less frequent than in the past.
#ClimateData, #USWeather, #ExtremeHeat, #ColdSnap, #ClimateScience
https://newsletter.tf/us-heat-cold-extremes-mixed-regional-trends/ -
RE: https://fediscience.org/@ZLabe/116315458834993853
Why do politicians of democratic parties no longer react to #climatedata by #climatescientists in any rational way? Why do they not take any fast measures to cut down human climate-hazardous emissions to mitigate the #climatecrisis, in a socially fair way? Why do they not cooperate to combat #disinformation on the #climatecrisis, even in Parliaments, by far-right politicians?
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The numbers show just how tough this winter has been
#WaterlooRegion #Ontario #Canada #Winter2026 #Science #ExtremeWeather #Snowfall #ColdSnap #Climate #Winter #Environment #Environment #WeatherRecords #ClimateData #CanadianWeather #WinterStorms
https://the-14.com/the-numbers-show-just-how-tough-this-winter-has-been/ -
A recent result from the Climate Change Initiative (CCI) #SeaIce project I happen to co-lead for the European #Space Agency.
Stefan Kern (University of Hamburg) investigated the accuracy of #SeaIce Concentration data obtained from an old US satellite: Nimbus-5 (1972 - 1977). This gives some confidence in sea-ice data from before most #ClimateData starts (1979).
You can read a bit more about the ESMR data itself here:
https://climate.esa.int/en/news-events/Update-of-the-Nimbus-5-ESMR-sea-ice-concentration-dataset/
