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Influence of the Scandinavian ice on the climate conditions of east plain European evidenced from the numerical simulation project PMIP II
https://doi.org/10.15356/2076-6734-2014-1-113-124
Abstract
In this paper results of climate simulation in East-European Plain (EEP) by coupled climate models (which take part in project PMIP II (Paleoclimate Modeling Intercomparison Project)) are tested for different climatic periods (pre-industrial, Last Glacial Maximum (LGM)). The main parameters for comparison were: temperature, precipitations, evaporation and the Volga runoff. As a result, the model CNRM (Centre National de Recherches Meteorologie, France) was chosen as the best for this territory for pre-industrial climate. Its results were used to calculate runoff of the Volga river during the LGM and modern climate. «Climatic» component of the Volga runoff was calculated as the difference between precipitation and evaporation in the watershed. The «climatic» part of the Volga runoff 21 kyr decreased by 30% compared with the modern (according to model CNRM). The main reason for the low values of «climatic» runoff was a reduction of precipitation on the territory of Volga watershed. The decrease of evaporation could not compensate for the deficit of precipitation. However, according to paleoreconstructions and the results of PMIP II simulation, a significant change to the hydrological regime of the Volga River (21 kyr BP) could be due to the contribution of melt water (about 384 km³/year). This means that to «climatic» component of runoff (about 78 km³/year), one has to add volume of the melt water of the Scandinavian ice sheet, which within the territory of Volga watershed. The results were used to assess the level of the Caspian Sea during this period (changes in the Caspian sea level compared with modern was about 48 meters.
About the Author
P. A. MorozovaRussian Federation
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Supplementary files
For citation: Morozova P.A. Influence of the Scandinavian ice on the climate conditions of east plain European evidenced from the numerical simulation project PMIP II. Ice and Snow. 2014;54(1):113-124. https://doi.org/10.15356/2076-6734-2014-1-113-124
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