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Publications in Scientific Journals:

C. Rüdiger, J.C. Calvet, C. Gruhier, T. Holmes, R. De Jeu, W. Wagner:
"An intercomparison of ERS-Scat and AMSRE soil moisture observations with model simulations over France";
Journal Of Hydrometeorology, 10 (2009), 2; 431 - 447.



English abstract:
This paper presents a study undertaken in preparation of the work leading up to the assimilation of Soil
Moisture and Ocean Salinity (SMOS) observations into the land surface model (LSM) Interaction Soil Biosphere
Atmosphere (ISBA) atMeŽteŽo-France. This study consists of an intercomparison experiment of different
space-borne platforms providing surface soilmoisture information [AdvancedMicrowave ScanningRadiometer
for Earth Observing (AMSR-E) and European Remote Sensing Satellite Scatterometer (ERS-Scat)] with the
reanalysis soil moisture predictions over France from the model suite of Syste`me dŽanalyse fournissant des
renseignements atmospheŽriques a` la neige (SAFRAN), ISBA, and coupled model (MODCOU; SIM) of
MeŽteŽo-France for the years of 2003-05. Both modeled and remotely sensed data are initially validated
against in situ observations obtained at the experimental soil moisture monitoring site Surface Monitoring of
the Soil Reservoir Experiment (SMOSREX) in southwestern France. Two different AMSR-E soil moisture
products are compared in the course of this study-the official AMSR-E product from the National Snow and
Ice Data Center (NSIDC) and a new product developed at the Vrije Universiteit Amsterdam and NASA
(VUA-NASA)-which were obtained using two different retrieval algorithms. This allows for an additional
assessment of the different algorithms while using identical brightness temperature datasets. This study
shows that a good correlation generally exists between AMSR-E (VUA-NASA), ERS-Scat, and SIM for low
altitudes and low-to-moderate vegetation covers (1.5-3 kgm22 vegetation water content), with a reduction in
the correlation in mountainous regions. It also shows that the AMSR-E (NSIDC) soil moisture product has
significant differences when compared to the other datasets.


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1175/2008JHM997.1


Created from the Publication Database of the Vienna University of Technology.