Articles | Volume 22, issue 10
https://doi.org/10.5194/hess-22-5341-2018
https://doi.org/10.5194/hess-22-5341-2018
Research article
 | 
17 Oct 2018
Research article |  | 17 Oct 2018

Global downscaling of remotely sensed soil moisture using neural networks

Seyed Hamed Alemohammad, Jana Kolassa, Catherine Prigent, Filipe Aires, and Pierre Gentine

Model code and software

Downscaling SMAP Alemohammad S.H., Kolassa J., Prigent C., Aires F., and Gentine P. https://doi.org/10.5281/zenodo.1433730

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Short summary
A new machine learning algorithm is developed to downscale satellite-based soil moisture estimates from their native spatial scale of 9 km to 2.25 km.