Hamed Alemohammad, S., Department of Earth and Environmental Engineering, Columbia University, New York, NY, United States, Columbia Water Center, Columbia University, New York, NY, United States, Radiant Earth Foundation, Washington, DC, United States; Kolassa, J., Universities Space Research Association, Columbia, MD, United States, Global Modelling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Prigent, C., Department of Earth and Environmental Engineering, Columbia University, New York, NY, United States, Columbia Water Center, Columbia University, New York, NY, United States, Observatoire de Paris, Paris, 75014, France; Aires, F., Department of Earth and Environmental Engineering, Columbia University, New York, NY, United States, Columbia Water Center, Columbia University, New York, NY, United States, Observatoire de Paris, Paris, 75014, France; Gentine, P., Department of Earth and Environmental Engineering, Columbia University, New York, NY, United States, Columbia Water Center, Columbia University, New York, NY, United States, Earth Institute, Columbia University, New York, NY, United States
Recommended Citation:
Hamed Alemohammad S.,Kolassa J.,Prigent C.,et al. Global downscaling of remotely sensed soil moisture using neural networks[J]. Hydrology and Earth System Sciences,2018-01-01,22(10)