Multivariate Assimilation of Remotely Sensed Soil Moisture and Evapotranspiration for Drought Monitoring

• Published in: Journal of hydrometeorology Vol. 21; no. 10; pp. 2293 - 2308
• Main Authors: Gavahi, Keyhan, Abbaszadeh, Peyman, Moradkhani, Hamid, Zhan, Xiwu, Hain, Christopher
• Format: Journal Article
• Language: Spanish; English
• Published: Boston American Meteorological Society 01.10.2020
• Subjects: Algorithms; Archives & records; Atmosphere; Data assimilation; Data collection; Drought; Drought monitoring; Environmental monitoring; Evapotranspiration; Fluxes; Hydrologic cycle; Hydrologic data; Hydrologic studies; Hydrological cycle; Hydrology; Land surface models; Multivariate analysis; Parallel processing; Parameter estimation; Precipitation; Remote sensing; Satellite observation; Satellite soil moisture estimates; Simulation; Soil; Soil improvement; Soil moisture; Spatial discrimination; Spatial resolution; Spring (season); Terrestrial environments; Variables; Weekly; United States > US; Georgia

Soil moisture (SM) and evapotranspiration (ET) are key variables of the terrestrial water cycle with a strong relationship. This study examines remotely sensed soil moisture and evapotranspiration data assimilation (DA) with the aim of improving drought monitoring. Although numerous efforts have gon...