From Monitoring to Forecasting Land Surface Conditions Using a Land Data Assimilation System: Application over the Contiguous United States

From Monitoring to Forecasting Land Surface Conditions Using a Land Data Assimilation System: Application over the Contiguous United States

LDAS-Monde is a global land data assimilation system (LDAS) developed by Centre National de Recherches Météorologiques (CNRM) to monitor land surface variables (LSV) at various scales, from regional to global. With LDAS-Monde, it is possible to jointly assimilate satellite-derived observations of su...

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Bibliographic Details
Main Authors:	Anthony Mucia, Bertrand Bonan, Yongjun Zheng, Clément Albergel, Jean-Christophe Calvet
Format:	Article
Language:	English
Published:	MDPI AG 2020-06-01
Series:	Remote Sensing
Subjects:	ASCAT data assimilation soil moisture leaf area index evapotranspiration
Online Access:	https://www.mdpi.com/2072-4292/12/12/2020

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