Mathematics – Logic
Scientific paper
Nov 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004esasp.582...97b&link_type=abstract
Proceedings of the Second MSG RAO Workshop (ESA SP-582). Salzburg, Austria, 9 - 10 September 2004. Organised by ESA, in cooperat
Mathematics
Logic
Scientific paper
Interesting perspectives concerning the calibration of Soil Vegetation Atmosphere Transfer (SVAT) models are offered thanks to the higher acquisition frequency of the thermal infrared (TIR) brightness temperature provided by MSG. SVAT models are useful for the monitoring of root zone soil moisture, sensible and latent surface fluxes. They may be helpful for meso-scale meteorological models initialisation, or for hydrological and agricul- tural applications. It was recently proven that SVAT models could be correctly calibrated thanks to ther- mal infrared data. However, this was only shown at the local field scale on homogeneous covers with ground-based data. The purpose of this presentation is to present the po- tentialities of TIR brightness temperatures acquired by MSG in order to calibrate SVAT model over patchy regions. The feasibility studies are performed with simulated data to test calibration and desegre- gation methodologies. Key words: SVAT model, calibration, assimilation, thermal infrared temperature, MSG, soil moisture.
Boudevillain B.
Coudert B.
Ottlé Catherine
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