Understanding similarities and differences between data-driven AI model-based and physics model-based ensemble forecasts

At NOAA/NWS/National Centers for Environmental Prediction (NCEP), a Google DeepMind developed machine-learning weather model GraphCast-based global ensemble forecast system (MLGEFS) has been tested. This study compares MLGEFS with the NCEP operational global ensemble forecast system (GEFS).

Publication Details

Journal
National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library
Published
2025-06-02
DOI
https://doi.org/10.25923/4pc4-3t39
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
0.00
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article

Understanding similarities and differences between data-driven AI model-based and physics model-based ensemble forecasts

National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library
Meteorological Phenomena and Simulations
article

Understanding similarities and differences between data-driven AI model-based and physics model-based ensemble forecasts

article en

Abstract

At NOAA/NWS/National Centers for Environmental Prediction (NCEP), a Google DeepMind developed machine-learning weather model GraphCast-based global ensemble forecast system (MLGEFS) has been tested. This study compares MLGEFS with the NCEP operational global ensemble forecast system (GEFS).

National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library
Climate action
Openalex Percentile: Top 46%
Meteorological Phenomena and Simulations
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Understanding similarities and differences between data-driven AI model-based and physics model-based ensemble forecasts · National Oceanic and Atmospheric Administration (NOAA) - NOAA Central Library (2025) | TGRS Research Map | TGRS