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Data-Driven Gravity Wave Source Parameterization Using Machine Learning

Published • Mar 13, 2026
NobleIDNI0P984W200R090S426
Authors:
Erfan Mahmoudi
,
Zuzana Procházková
,
Stamen Dolaptchiev

Abstract

Representing gravity wave (GW) sources accurately remains a major challenge for climate models. While parameterizations for orographic and convective gravity waves are well established, studies have shown that additional sources, including fronts, jet streams, and jet exit regions, also generate gra...

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