TEEMLEAP—A New Testbed for Exploring Machine Learning in Atmospheric Prediction for Research and Education

TEEMLEAP—A New Testbed for Exploring Machine Learning in Atmospheric Prediction for Research and Education

Abstract In the past 5 years, data‐driven prediction models and Machine Learning (ML) techniques have revolutionized weather forecasting. Meteorological services around the world are now developing ML components to enhance (or even replace) their numerical weather prediction systems. This shift crea...

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Bibliographic Details
Main Authors: J. Wilhelm, J. Quinting, M. Burba, S. Hollborn, U. Ehret, I. Pena Sánchez, S. Lerch, J. Meyer, B. Verfürth, P. Knippertz
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2025-07-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
numerical weather prediction
machine learning
testbed
data assimilation
ICON model
data‐driven models
Online Access:https://doi.org/10.1029/2024MS004881
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https://doi.org/10.1029/2024MS004881

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