SMOS Neural Network Soil Moisture Data Assimilation in a Land Surface Model and Atmospheric Impact

SMOS Neural Network Soil Moisture Data Assimilation in a Land Surface Model and Atmospheric Impact

The assimilation of Soil Moisture and Ocean Salinity (SMOS) data into the ECMWF (European Centre for Medium Range Weather Forecasts) H-TESSEL (Hydrology revised-Tiled ECMWF Scheme for Surface Exchanges over Land) model is presented. SMOS soil moisture (SM) estimates have been produced specifically b...

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Bibliographic Details
Main Authors: Nemesio Rodríguez-Fernández, Patricia de Rosnay, Clement Albergel, Philippe Richaume, Filipe Aires, Catherine Prigent, Yann Kerr
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Remote Sensing
Subjects:
soil moisture
L-band
passive radiometry
data assimilation
numerical weather prediction
Online Access:https://www.mdpi.com/2072-4292/11/11/1334

Internet

https://www.mdpi.com/2072-4292/11/11/1334

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