Brightband launches NNJA-AI v1 dataset Read more
  1. Atlantic and Pacific Model Forecast Discussion 9-16-2025

    Analysis of potential development in the West Pacific and Atlantic, as well as a brief discussion of TS Mario in the East Pacific.

  2. Pacific and Atlantic Tropical Weather Discussion 9-12-2025

    Analysis of Features of Interesting the Pacific and Atlantic tropics, based partially on analysis of AI Forecast Models

  3. Tropical Weather Discussion 9-10-2025

    Discussion of systems of interest in the Atlantic and East Pacific tropics on September 10, 2025, based on forecasts from AI models.

  4. Atlantic and East Pacific Tropical Discussion 9-8-2025

    Discussion of Future Activity in the East Pacific and Atlantic based on AI model forecasts.

  5. Discussion of AI Model Forecasts for Invest 91L

    Analysis of AI vs. Dynamical Model Forecasts for Invest 91L in the Central Atlantic

  6. Analyzing AI Models' Tropical Cyclone Forecasts

    We will dive into a few areas of interest, specifically Hurricane Kiko in the East/Central Pacific, Hurricane Lorena in the East Pacific.

  7. Towards Real-World Evaluation of Machine-Learning Weather Prediction

    What can we learn by evaluating real-world, operational MLWP forecasts for extreme weather?

  8. NNJA-AI v1 Dataset and SDK Now Available

    The first official release of NNJA-AI is now available to the public.

  9. Image for Brightband chosen by Google for first “AI for Nature” accelerator
    Brightband chosen by Google for first “AI for Nature” accelerator

    We are thrilled to announce that Brightband has been selected to join the first-ever Google for Startups Accelerator: AI for Nature cohort.

  10. Brightband Response to OSTP RFI

    Brightband strongly supports OSTP’s efforts to plan America’s leadership in AI

  11. Image for Brightband builds operational AI Data Assimilation System (AIDA) for Weather Forecasting
    Brightband builds operational AI Data Assimilation System (AIDA) for Weather Forecasting

    Brightband has developed an AI Data Assimilation system, AIDA, that we believe is a significant step forward for AI weather prediction

  12. Image for Brightband releases Benchmark
    Brightband releases Benchmark

    Extreme Weather Bench is a community-built open source benchmarking suite for AI and traditional model verification

  13. Image for Brightband launches NNJA-AI dataset
    Brightband launches NNJA-AI dataset

    Brightband launches an observational dataset tailored for AI modeling.

  14. Image for Brightband at AMS 2025
    Brightband at AMS 2025

    The Brightband team is heading to AMS 2025 in New Orleans next week.

  15. Image for Brightband signs Partnership with NOAA
    Brightband signs Partnership with NOAA

    Brightband has signed a Cooperative Research And Development Agreement (CRADA) Partnership with the National Oceanic and Atmospheric Administration (NOAA).

  16. Image for Brightband chosen by AWS and IRCAI for 2024 Compute for Climate Fellowship
    Brightband chosen by AWS and IRCAI for 2024 Compute for Climate Fellowship

    This global program selects and funds proof of concepts of new ideas leveraging advanced cloud computing and AI to fight the climate change.

  17. Image for Introducing Brightband
    Introducing Brightband

    Brightband seeks to responsibly develop an advanced, end-to-end Earth System AI to improve weather and climate-related decisions for the long-term benefit of humanity and the Earth.