Hybrid‐Modeling of Land‐Atmosphere Fluxes Using Integrated Machine Learning in the ICON‐ESM Modeling Framework

Abstract The water and carbon exchange between the land surface and the atmosphere is regulated by meteorological conditions and plant physiological processes. Traditional mechanistic modeling approaches, for example, the Earth system model ICON‐ESM with the land component JSBACH4, are hampered by r...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Reda ElGhawi, Christian Reimers, Reiner Schnur, Markus Reichstein, Marco Körner, Nuno Carvalhais, Alexander J. Winkler
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	American Geophysical Union (AGU) 2025-12-01
סדרה:	Journal of Advances in Modeling Earth Systems
נושאים:	Earth system models ICON‐ESM JSBACH4 hybrid modeling machine learning carbon‐water fluxes
גישה מקוונת:	https://doi.org/10.1029/2025MS005102
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!