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Article information
2005 , Volume 10, Special issue, p.118-124
Rubinstein K.G., Gromov S.S., Khan V.M., Ignatov R.Y.
Comparison of snow characteristics for great Siberia river basins from numerical experiments, land measurements and reanalysis
Reanalysis of NCAR/NCEP and ERA characteristics of snow cover is examined. It is compared with the results of numerical experiments of the AMIP type by the Hydrometcentre of Russia, INM RAS and MGO. It is shown, that the mean snow cover area for Ob, Enisey and Lena regions is predicted satisfactorily by all models. During autumn - winter season, and during the season of snow melting the HMC-experiments are near for etalon. Comparison of snow depth anomalies from station data set and from different reanalysis data, shows that ERA data has higher correlation coefficient, than NCAR/NCEP.
[full text] Author(s):
Rubinstein Konstantin Grigorjevich
Dr. , Senior Scientist
Position: Head of Laboratory
Office: Hydrometeorological Research Center of Russia
Address: 119285, Russia, Moscow, Bolshoy Predtechensky per., 11-13
Phone Office: (495) 143 51 19
E-mail: rubin@mecom.ru
Gromov Sergey Sergeevich
Position: Head of Laboratory
Office: Hydrometeorological Research Center of Russia
Address: 105264, Russia, Moscow, Bolshoy Predtechensky per., 11-13
Phone Office: (095) 143 51 19
E-mail: gromov@mecom.ru
Khan Valentina Moiseevna
PhD.
Position: Senior Research Scientist
Office: Hydrometeorological Research Center of Russia
Address: 105264, Russia, Moscow, Bolshoy Predtechensky per., 11-13
Ignatov Roman Yurevich
Position: Meteorologist
Office: Hydrometeorological Research Center of Russia
Address: Russia, Moscow, Bolshoy Predtechensky per., 11-13, Bolshoy Predtechensky per., 11-13
Phone Office: (095) 255 22 95
E-mail: ignatovroman@rhmc.mecom.ru
Bibliography link:
Rubinstein K.G., Gromov S.S., Khan V.M., Ignatov R.Y. Comparison of snow characteristics for great Siberia river basins from numerical experiments, land measurements and reanalysis // Computational technologies. 2005. V. 10. Special issue. Proceedings of the International Conference and the School of Young Scientists “Computational and informational technologies for environmental sciences” (CITES 2005). Tomsk, 13-23 March 2005. Part 1. P. 118-124
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