Assimilation of Remotely Sensed Leaf Area Index Enhances the Estimation of Anthropogenic Irrigation Water Use.

Nie, Wanshu; Kumar, Sujay V; Peters-Lidard, Christa D; Zaitchik, Benjamin F; Arsenault, Kristi R; Bindlish, Rajat; Liu, Pang-Wei

Nie, Wanshu; Kumar, Sujay V; Peters-Lidard, Christa D; Zaitchik, Benjamin F; Arsenault, Kristi R; Bindlish, Rajat; Liu, Pang-Wei.

Afiliación

Nie W; Department of Earth and Planetary Sciences Johns Hopkins University Baltimore MD USA.
Kumar SV; Hydrological Science Laboratory NASA Goddard Space Flight Center Greenbelt MD USA.
Peters-Lidard CD; Earth Science Division NASA Goddard Space Flight Center Greenbelt MD USA.
Zaitchik BF; Department of Earth and Planetary Sciences Johns Hopkins University Baltimore MD USA.
Arsenault KR; Hydrological Science Laboratory NASA Goddard Space Flight Center Greenbelt MD USA.
Bindlish R; Science Applications International Corporation McLean VA USA.
Liu PW; Hydrological Science Laboratory NASA Goddard Space Flight Center Greenbelt MD USA.

J Adv Model Earth Syst ; 14(11): e2022MS003040, 2022 Nov.

Article en En | MEDLINE | ID: mdl-36582299

Palabras clave

NoahMP; data assimilation; irrigation; leaf area index

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Adv Model Earth Syst Año: 2022 Tipo del documento: Article