Remote Sens. 2013, 5(11), 5825-5850; doi:10.3390/rs5115825
Article

Assimilation of MODIS Snow Cover Area Data in a Distributed Hydrological Model Using the Particle Filter

Institute for Environment and Sustainability, European Commission, Joint Research Centre, I-21027 Ispra, Italy Current Address: Hydrosystems and Bioprocesses Research Unit (HBAN), Irstea, 1, rue Pierre-Gilles de Gennes, CS 10030, 92761 Antony Cedex, France
* Author to whom correspondence should be addressed.
Received: 29 August 2013; in revised form: 23 October 2013 / Accepted: 24 October 2013 / Published: 8 November 2013
(This article belongs to the Special Issue Hydrological Remote Sensing)
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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.
Keywords: data assimilation; particle filter; distributed hydrological model; MODIS Snow Cover Area; discharge; LISFLOOD; Danube

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MDPI and ACS Style

Thirel, G.; Salamon, P.; Burek, P.; Kalas, M. Assimilation of MODIS Snow Cover Area Data in a Distributed Hydrological Model Using the Particle Filter. Remote Sens. 2013, 5, 5825-5850.

AMA Style

Thirel G, Salamon P, Burek P, Kalas M. Assimilation of MODIS Snow Cover Area Data in a Distributed Hydrological Model Using the Particle Filter. Remote Sensing. 2013; 5(11):5825-5850.

Chicago/Turabian Style

Thirel, Guillaume; Salamon, Peter; Burek, Peter; Kalas, Milan. 2013. "Assimilation of MODIS Snow Cover Area Data in a Distributed Hydrological Model Using the Particle Filter." Remote Sens. 5, no. 11: 5825-5850.

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