Towards a Long-Term Reanalysis of Land Surface Variables over Western Africa: LDAS-Monde Applied over Burkina Faso from 2001 to 2018

This study focuses on the ability of the global Land Data Assimilation System, LDAS-Monde, to improve the representation of land surface variables (LSVs) over Burkina-Faso through the joint assimilation of satellite derived surface soil moisture (SSM) and leaf area index (LAI) from January 2001 to J...

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主要な著者:	Moustapha Tall, Clément Albergel, Bertrand Bonan, Yongjun Zheng, Françoise Guichard, Mamadou Simina Dramé, Amadou Thierno Gaye, Luc Olivier Sintondji, Fabien C. C. Hountondji, Pinghouinde Michel Nikiema, Jean-Christophe Calvet
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2019-03-01
シリーズ:	Remote Sensing
主題:	data assimilation land surface modeling reanalysis remote sensing
オンライン･アクセス:	https://www.mdpi.com/2072-4292/11/6/735
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