Title: Assimilation of MODIS snow cover area data in a distributed hydrological model
Authors: GUILLAUME ThirelSALAMON PeterBUREK PETER ANDREASKALAS Milan
Citation: REMOTE SENSING vol. 5 no. 11 p. 5825-5850
Publisher: MDPI AG
Publication Year: 2013
JRC N°: JRC86297
ISSN: 2072-4292
URI: http://www.hydrol-earth-syst-sci-discuss.net/8/1329/2011/hessd-8-1329-2011.html
http://publications.jrc.ec.europa.eu/repository/handle/JRC86297
DOI: 10.3390/rs5115825
Type: Articles in periodicals and books
Abstract: Snow is an important component of the water cycle, and its estimation in hydrological models is of great significance concerning the simulation and forecasting of flood events due to snow-melt. The assimilation of Snow Cover Area (SCA) in physical distributed hydrological models is a possible source of improvement of snowmelt-related floods. In this study, the assimilation in the LISFLOOD model of the MODIS sensor SCA has been evaluated, in order to improve the streamflow simulations of the model. This work is realized with the final scope of improving the European Flood Awareness System (EFAS) pan-European flood forecasts in the future. For this purpose daily 500 m resolution MODIS satellite SCA data have been used. Tests were performed in the Morava basin, a tributary of the Danube, for three years. The particle filter method has been chosen for assimilating the MODIS SCA data with different frequencies. Synthetic experiments were first performed to validate the assimilation schemes, before assimilating MODIS SCA data. Results of the synthetic experiments could improve modelled SCA and discharges in all cases. The assimilation of MODIS SCA data with the particle filter shows a net improvement of SCA. The Nash of resulting discharge is consequently increased in many cases.
JRC Directorate:Sustainable Resources

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