LDAS-Monde Sequential Assimilation of Satellite Derived Observations Applied to the Contiguous US: An ERA-5 Driven Reanalysis of the Land Surface Variables

LDAS-Monde Sequential Assimilation of Satellite Derived Observations Applied to the Contiguous US: An ERA-5 Driven Reanalysis of the Land Surface Variables

Land data assimilation system (LDAS)-Monde, an offline land data assimilation system with global capacity, is applied over the CONtiguous US (CONUS) domain to enhance monitoring accuracy for water and energy states and fluxes. LDAS-Monde ingests satellite-derived surface soil moisture (SSM) and leaf...

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Bibliographic Details
Main Authors: Clement Albergel, Simon Munier, Aymeric Bocher, Bertrand Bonan, Yongjun Zheng, Clara Draper, Delphine J. Leroux, Jean-Christophe Calvet
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Remote Sensing
Subjects:
land surface modeling
data assimilation
remote sensing
Online Access:http://www.mdpi.com/2072-4292/10/10/1627

Internet

http://www.mdpi.com/2072-4292/10/10/1627

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