#metrology — Public Fediverse posts

WeatherNext – [An] AI Model Achieves Breakthrough In Forecasting Cyclones
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https://deepmind.google/blog/weathernext-ai-model-achieves-breakthrough-in-forecasting-cyclones/ <-- shared technical Google DeepMind blog post
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https://doi.org/10.1038/s41586-026-10953-2 <-- shared paper
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https://deepmind.google/science/weatherlab/ <-- shared data
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https://github.com/google-deepmind/weathernext <-- shared GitHub repository
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H/T @juliet Rothenberg | Product Director of Earth & Resilience AI at Google
[this post should not be considered an endorsement of a particular organisation or their approach]
“[The Google WeatherNext AI team] are showing how the WeatherNext AI model from Google DeepMind and Google Research has achieved state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. On average, the WeatherNext Cyclones model gives forecasters an extra day’s worth of predictive accuracy- delivering an advance equivalent to roughly a decade of historical meteorological progress 🌀
Here is how WeatherNext is transforming cyclone forecasting:
• Gaining an Extra Day of Advanced Warning: WN 3-day forecasts are as good as what prior models were able to provide for 2-day forecasts, giving critical time for emergency response.
• Overcoming Traditional Trade-offs: WN bridges the gap between massive global atmospheric currents (which steer a cyclone's path) and fine-grained thermodynamic processes around its core (which drive its intensity) into a single AI model.
• Unprecedented Ensemble Scale: Using Functional Generative Networks (FGNs), WN now generates 1,000-member ensembles in less than a minute on a TPU to capture rare, consequential tail-risks like sudden rapid intensification – which means forecasters can see a broader range of possible scenarios.
• Real-World Impact: During the 2025 Atlantic hurricane season, the WN model helped the National Hurricane Center (NHC) make a historic forecast for Hurricane Melissa by predicting rapid intensification and landfall five days in advance.
[The] teams are open sourcing the operationalized models (WeatherNext Cyclones and WeatherNext 2), alongside a compact version (WeatherNext 2-mini) that can run on a single TPU in a free public Colab notebook – all with a goal of empowering local organizations worldwide.
Weather affects everyone. By combining advanced AI with the real-world expertise of human forecasters, we can build a collaborative ecosystem that saves lives and helps communities adapt to a changing climate…”
#Google #DeepMind #GoogleResearch #AI #ensembles #FunctionalGenerativeNetworks #WeatherNext #cyclone #operationalised #model #modeling #forecasting #spatialanalyis #spatiotemporal #track #intensity #windstructure #hurricane #weather #climate #metrology #cyclonetrack #risk #hazard #emergencyresponse #planning #tool #earlywarning #scale #magnitude #path #track #thermodynamic #scenarios #opensource #impacts #tropicalcyclones #WeatherNextCyclones #weathermodel #atmospheric #predictions #mitigation #warning #robust #publicsafety #infrastructure
@Google | @WeatherNext

[Open] Data Related To Flood Mapping [Canada]
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https://natural-resources.canada.ca/science-data/science-research/natural-hazards/flood-mapping/data-related-flood-mapping <-- shared link to technical details
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https://app.geo.ca/en-ca/map-browser/record/a13a2575-5bda-4bfd-a9b1-5bd2dd583f09 <-- shared map/data-portal link, Canada Flood Map Inventory (CFM)
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https://open.canada.ca/data/en/dataset/1074f781-85d3-4c86-86cb-fd1c339197dc <-- shared data-portal link, Canada Flood Susceptibility Index
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https://doi.org/10.3390/ECWS-7-14235 <-- shared (2023) paper
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https://doi.org/10.1002/2017WR020917 <-- shared (2017) paper
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H/T @Michael DePue | VP & AtkinsRéalis Fellow for Water Resources Engineering | PE, PMP, CFM
“At the Canadian Water Resources Association National Conference in Winnipeg, colleagues shared insights from Canada's Flood Hazard Identification and Mapping Program. This initiative has seen over 400 flood mapping projects and more than 1,000 flood hazard maps produced, supported by a substantial investment of $164.2 million from 2024 to 2028.
Two key datasets:
• The Canada Flood Map Inventory, which records the locations of flood hazard maps and provides information on how to access them.
• The national Flood Susceptibility Index, a machine-learning assessment of flood-prone areas, including regions that have not been mapped in detail.
When these two layers are combined on a single screen, it becomes clear where future mapping efforts should be directed — specifically, areas with high susceptibility that currently lack detailed maps…”
#water #hydrography #flood #flooding #risk #hazard #model #modeling #fedscience #publicsafety #humaninpacts #opendata #Canada #GIS #spatial #mapping #damage #infrastructure #floodmapping #prediction #spatialanalysis #spatiotemporal #historic #current #future #preduction #extremeweather #metrology #rainfall #precipitation #atmosphericriver #FloodMapInventory #CFM #floodhazard #FloodSusceptibilityIndex #floodprone #research #susceptibility
@NRCAN

Why The Media Keep Quoting The Same Climate Scientist
(Daniel Swain has a knack for breaking down the complexities of climate and weather into precise but accessible ideas.)
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https://www.theatlantic.com/science/2026/06/climate-weather-scientist-daniel-swain/687457/?gift=ttHQV0PZWqrQUD2tsgA7Pt9wX8z1gPJGiANsir671zQ <-- shared media article
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https://doi.org/10.1038/s43017-024-00624-z <-- shared paper example, “Hydroclimate Volatility On A Warming Earth”
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https://www.youtube.com/@weatherwest <-- Shared YouTube channel: Weather West
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H/T @DanielSwain
"The success of the climatologist Daniel Swain rests on a simple foundation: His specialty has long been how global climate change messes with local weather. Many climatologists focus on subjects that seem arcane: mean global temperatures registered in Celsius, radiative forcing, the reflectivity of clouds. Swain, in contrast, talks in plain English—constantly, really, in interviews with CBS, NBC, the Weather Channel, and The Washington Post, as well as on his own blog and YouTube channel, Weather West—about the wind and the rain and the temperature outside, and how they are influenced by the larger forces of the atmosphere.
“He uses language that is both precise and deep but very accessible, and that’s why you see him quoted everywhere,” Mark Hertsgaard, a longtime climate journalist who is the executive director of Covering Climate Now, told [the Atlantic]. According to Swain’s own tally, he does more than 200 media interviews a year; he is, in other words, about as omnipresent as a weather guy can be in people’s lives. A climate scientist at the University of California Agriculture and Natural Resources’ research unit, Swain is not exactly a “weather influencer,” that breed of streamer who delivers breathless updates about the next big storm. But he has become one of the country’s most influential explainers of the weather’s relationship to the climate; you’ve almost certainly heard from him if you consume just a scintilla of climate-related news…”
#global #climatechange #extremeweather #climatescientist #climate #scientist #media #hydroclimate #whiplash #WeatherWest #weather #localweather #metrology #connection #relationship #education #publicscience #extremeweather #climatology #wind #rainfall #precipitation #temperature #atmosphere
@TheAtlantic

Remote Sensing and GIS Assessment of Drought Dynamics in the Ukrina River Basin, Bosnia and Herzegovina
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https://doi.org/10.3390/atmos17020124 <-- shared paper
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#GIS #spatial #mapping #drought #risk #hazard #remotesensing #MODIS #satellite #earthobservation #spatialanalysis #spatiotemporal #monitoring #Ukrina #RiverBasin #Bosnia #Herzegovina #BosniaHerzegovina #water #waterresources #socioeconomic #risk #hazard #cost #economics #agriculture #foodsecurity #watersecurity #landcover #vegetation #croplands #fruit #crops #metrology #hydrology #droughtexposure #basins #riverbasins #watersheds #monitoring #mitigation #planning #droughtrisk

So much of fundamental #science relies on being able to measure everything with precision and virtually all these measures rely on #TimeMeasurement.

The GÉANT & #NRENs community will contribute to this during the GN5-2 project by developing a pan-European fibre-based #network to support the interconnection of #OpticalClocks.

A pathfinder project between Poznan (PSNC) & Braunschweig (PTB) has already been successfully completed!
https://connect.geant.org/2024/10/29/time-and-frequency-pathfinder-study-helping-redefine-time-for-the-21st-century

#TimeAndFrequency #Metrology #Physics

Homebrew Metrology the CERN Way - We won’t pretend to fully grok everything going on with this open-source 8.5-digit voltmeter that ... - https://hackaday.com/2021/02/26/homebrew-metrology-the-cern-way/ #vaporphasereflow #instrument #toolhacks #metrology #precision #voltmeter #peltier #thermal #nosie #cern #adc