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#weathermodel — Public Fediverse posts

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  1. WeatherNext – [An] AI Model Achieves Breakthrough In Forecasting Cyclones
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    deepmind.google/blog/weatherne <-- shared technical Google DeepMind blog post
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    doi.org/10.1038/s41586-026-109 <-- shared paper
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    deepmind.google/science/weathe <-- shared data
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    github.com/google-deepmind/wea <-- 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

  2. Kiwi Water Park Owner Feels ‘Victimised’ By iPhone Weather App [New Zealand]
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    nzherald.co.nz/nz/kiwi-water-p <-- shared media article
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    [spatiotemporal data and models - and their consumer & other use - has potential real-world consequences]
    “Emily Rutherford says she feels “personally victimised” by iPhone’s weather app.
    Rutherford, who co-owns the Kiwi Water Park in Lake Dunstan, Central Otago, said the app kept reporting the temperature in her area was up to 5C cooler than MetService predicted – and even MetService could be underestimating the summer heat.
    She worried it was putting off potential customers…"
    #GIS #spatial #mapping #NewZealand #KiwiWaterPark #iPhone #app #weather #forecast #model #modeling #weather #metrology #weatherforecast #spatiotemporal #cost #economics #loss #humanimpacts #recreation #leisure #waterpark #weathermodel
    @KiwiWaterPark @TheWeatherCompany @MetService @niwa @IBM

  3. Okay, then feed it data one week out on #HurricaneMilton. See what #Google #AI #WeatherModel says #Milton would've done! If it doesn't follow where Milton went - at Milton's strength - I want to hear NO MORE about #Google #AI and #Wx!

    "In a significant advance for improving weather forecast accuracy, Google DeepMind scientists have developed a weather model that largely beats the world's most accurate modeling system."

    mastodon.social/@axios/1135956