An Evaluation of the EnKF vs. EnOI and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data over the Contiguous US

SMOS Neural Network Soil Moisture Data Assimilation in a Land Surface Model and Atmospheric Impact.. Nemesio Rodríguez-Fernández 1,2, * , Patricia de Rosnay 1 , Clement Albergel 3

withFRAC i the geometric fraction at the node corresponding to the local surface cover of site i, Mean_WEF(ρ) i the mean footprint value at distance ρ from the node

The results of our validation indicate that the SMOS soil moisture estimates are approaching the level of performance anticipated, based on comparisons with in situ data and

The fusion approaches included a neural network approach (Rodriguez-Fernandez et al., this conference session HS6.4), a regression approach (Wigneron et al., 2004), and an

The objective of this paper is to investigate the benefit of applying the PERSIANN database to reproduce the high temporal and spatial heterogeneity of soil moisture fields at

This result shows that the SCA-H algorithm, based on observations for one angle and one polarization and additional information from MODIS, can provide results very

In this study, the impact of LDAS-Monde analysis with respect to an open-loop (i.e., model run without assimilation) is assessed using satellite-driven model estimates of

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