Predicting root zone soil moisture with soil properties and satellite near-surface moisture data across the conterminous United States

Author:

Baldwin D.,Manfreda S.,Keller K.,Smithwick E.A.H.

Funder

NASA Terrestrial Carbon Program

Department of Geography at the Pennsylvania State University

Penn State Center for Climate Risk Management

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference48 articles.

1. Alvarez-Garreton, C., Ryu, D., Western, A., Crow, W., Su, C-H., and Robertson, D. Dual assimilation of satellite soil moisture to improve streamflow prediction in data- scarce catchments. Water Resour. Res. (2016).

2. Local ensemble Kalman filtering in the presence of model bias;Baek;Tellus,2006

3. Assimilation of a satellite-based soil moisture product into a two-layer water balance model for a global crop production decision support system;Bolten;Data Assimilation Atmos. Ocean. Hydrol. Appl.,2009

4. Evaluating the utility of remotely sensed soil moisture retrievals for operational agricultural drought monitoring;Bolten;IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens.,2010

5. Assimilation of surface- and root-zone ASCAT soil moisture products into rainfall-runoff modeling;Brocca;IEEE Trans. Geosci. Remote Sens.,2012

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