Understanding root-zone soil moisture in agricultural regions of Central Mexico using the ensemble Kalman filter, satellite-derived information, and the THEXMEX-18 dataset

Understanding root-zone soil moisture in agricultural regions of Central Mexico using the ensemble Kalman filter, satellite-derived information, and the THEXMEX-18 dataset

An Ensemble Kalman Filter (EnKF)-based assimilation algorithm was implemented to estimate root-zone soil moisture (RZSM) using a Soil-Vegetation-Atmosphere Transfer (SVAT) model during a complete growing season of corn in Central Mexico. Synthetic and field soil moisture (SM) observations and NASA S...

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Dades bibliogràfiques
Autors principals: Héctor Ernesto Huerta-Bátiz, Daniel Enrique Constantino-Recillas, Alejandro Monsiváis-Huertero, Juan Carlos Hernández-Sánchez, Jasmeet Judge, Ramón Sidonio Aparicio-García
Format: Article
Idioma:English
Publicat: Taylor & Francis Group 2022-12-01
Col·lecció:International Journal of Digital Earth
Matèries:
root-zone soil moisture
svat model
ensemble kalman filter
soil moisture active-passive (smap) mission
agricultural region
thexmex-18
central mexico
Accés en línia:http://dx.doi.org/10.1080/17538947.2021.2012534

Internet

http://dx.doi.org/10.1080/17538947.2021.2012534

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