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Integration of emerging data-driven models into the NOAA research to operation pipeline for numerical weather prediction
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2024
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Source: Bulletin of the American Meteorological Society (2024)
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Journal Title:Bulletin of the American Meteorological Society
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Description:Over the last 18 months, a tidal wave of data-driven models revolutionized the way we think about the future of the weather prediction enterprise (Bauer et.al 2023). Groundbreaking data- driven models (Pathak et.al 2022, Bi et.al 2023, Lam et.al 2023) showed that ML emulators trained on the ERA5 reanalysis are capable of achieving the skill of the flagship deterministic weather forecast from the European Centre for Medium-Range Weather Forecasts (ECMWF) at ~1/1,000 cost of the traditional model. Early results also show enhanced skill of the new data- driven models in predicting extreme life-threatening events like hurricanes, winter storms, and heat waves.
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Source:Bulletin of the American Meteorological Society (2024)
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ISSN:0003-0007;1520-0477;
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Rights Information:CC BY
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Compliance:Submitted
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