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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2013, Vol. 10, No. 3, pp. 272-285

Regional parametrisation of Dynamic Global Vegetation Model SEVER based on assimilation of remote sensing data derived land cover map for Russia

S.A. Khvostikov 1, S.V. Venevsky2, S.A. Bartalev 1
1 Space Research Institute of RAS, Moscow, Russia
2 Center for Earth System Science, Tsinghua University, Beijing, People’s Republic of China
This article describes methods and results of parametrisation of Dynamic Global Vegetation Model SEVER on the territory of Russia using two-step optimization procedure. This parametrisation was targeted to increase of similarity between modeling results and remote sensing based land cover map. A similarity criterion was based on spatial correlation for different plant functional types. To perform parametrisation modifications of SEVER program implementation were done, including addition of multithreaded execution and asynchronous data loading. Parametrisation of model was done using optimization method EGO applied to simplified model, and quasi-newton method BFGS applied to full model. As a result of optimization a set of model parameters was obtained, that increases similarity between modeling results and remote sensing land cover map.
Keywords: глобальная модель растительного покрова, параметризация, дистанционное зондирование, Dynamic Global Vegetation Model, parametrisation, remote sensing
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