Snow Cover Characteristics over the Main Russian River Basins as Represented by Reanalyses and Measured Data

V. Khan Hydrometeorological Research Centre of the Russian Federation, Moscow, Russia

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L. Holko Institute of Hydrology, Slovak Academy of Sciences, Liptovsky Mikulas, Slovakia

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K. Rubinstein Hydrometeorological Research Centre of the Russian Federation, Moscow, Russia

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M. Breiling Technical University Vienna, Vienna, Austria

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Abstract

Snow water equivalents (SWE) produced by the National Centers for Environmental Prediction–U.S. Department of Energy (NCEP–DOE) and 40-yr European Centre for Medium-Range Weather Forecasts (ERA-40) reanalyses and snow depths (SD) produced by the 25-yr Japanese “JRA-25” reanalysis over the main Russian river basins for 1979–2000 were examined against measured data. The analysis included comparisons of mean basin values and correlation of anomalies, as well as seasonal and interannual variabilities and trends. ERA-40 generally provided better estimates of mean SWE values for river basins than did the NCEP–DOE reanalysis. Mean SD values from the JRA-25 reanalysis were systematically underestimated. The best correlations among the anomalies were given by ERA-40, followed by JRA-25. All reanalyses reproduced seasonal variability well, although the differences in absolute values varied substantially. The highest differences were typically connected with the snowmelt period (April and May). Interannual variability confirmed the errors of ERA-40 and JRA-25 in 1992–94 and 1979–83, respectively. Otherwise, the reproduction of the interannual variability of SWE and SD was reasonable. Strong biases in SD data from JRA-25 that decrease with time induce artificial positive trends. Significant underestimations of SWE data by ERA-40 for 1991–94 influenced the values of the trends. NCEP–DOE reasonably represented the trend found in measured data. In general, the highest discrepancies between measured and reanalysis data were found for the northern European and eastern Asian rivers (Pechora, Lena, and Amur). The assessment of the quality of SWE and SD reanalysis data can help potential users in the selection of a particular reanalysis as being appropriate to the purpose of their studies.

Corresponding author address: Dr. V. Khan, Hydrometeorological Research Centre of the Russian Federation, Bol. Predtechensky 9–13, Moscow 123242, Russia. Email: khan@mecom.ru

Abstract

Snow water equivalents (SWE) produced by the National Centers for Environmental Prediction–U.S. Department of Energy (NCEP–DOE) and 40-yr European Centre for Medium-Range Weather Forecasts (ERA-40) reanalyses and snow depths (SD) produced by the 25-yr Japanese “JRA-25” reanalysis over the main Russian river basins for 1979–2000 were examined against measured data. The analysis included comparisons of mean basin values and correlation of anomalies, as well as seasonal and interannual variabilities and trends. ERA-40 generally provided better estimates of mean SWE values for river basins than did the NCEP–DOE reanalysis. Mean SD values from the JRA-25 reanalysis were systematically underestimated. The best correlations among the anomalies were given by ERA-40, followed by JRA-25. All reanalyses reproduced seasonal variability well, although the differences in absolute values varied substantially. The highest differences were typically connected with the snowmelt period (April and May). Interannual variability confirmed the errors of ERA-40 and JRA-25 in 1992–94 and 1979–83, respectively. Otherwise, the reproduction of the interannual variability of SWE and SD was reasonable. Strong biases in SD data from JRA-25 that decrease with time induce artificial positive trends. Significant underestimations of SWE data by ERA-40 for 1991–94 influenced the values of the trends. NCEP–DOE reasonably represented the trend found in measured data. In general, the highest discrepancies between measured and reanalysis data were found for the northern European and eastern Asian rivers (Pechora, Lena, and Amur). The assessment of the quality of SWE and SD reanalysis data can help potential users in the selection of a particular reanalysis as being appropriate to the purpose of their studies.

Corresponding author address: Dr. V. Khan, Hydrometeorological Research Centre of the Russian Federation, Bol. Predtechensky 9–13, Moscow 123242, Russia. Email: khan@mecom.ru

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  • Brown, R. D., B. Brasnett, and D. Robinson, 2003: Gridded North American monthly snow depth and snow water equivalent for GCM evaluation. Atmos.–Ocean, 41 , 114.

    • Search Google Scholar
    • Export Citation
  • Clark, M. P., and M. C. Serreze, 2000: Effects of variations in east Asian snow cover on modulating atmospheric circulation over the North Pacific Ocean. J. Climate, 13 , 37003710.

    • Search Google Scholar
    • Export Citation
  • Clark, M. P., M. C. Serreze, and D. A. Robinson, 1999: Atmospheric controls on Eurasian snow extent. Int. J. Climatol., 19 , 2740.

  • Cohen, J., and D. Entekhabi, 1999: Eurasian snow cover variability and Northern Hemisphere climate predictability. Geophys. Res. Lett., 26 , 345348.

    • Search Google Scholar
    • Export Citation
  • Drusch, M., D. Vasiljevic, and P. Viterbo, 2004: ECMWF’s global snow analysis: Assessment and revision based on satellite observations. J. Appl. Meteor., 43 , 12821294.

    • Search Google Scholar
    • Export Citation
  • Fallot, J. M., R. Barry, and D. Hoogstrate, 1997: Variations of mean cold season temperature, precipitation and snow depths during the last 100 years in the former Soviet Union (FSU). Hydrol. Sci. J., 42 , 301327.

    • Search Google Scholar
    • Export Citation
  • Foster, J., and Coauthors, 1996: Snow cover and snow mass intercomparisons of general circulation models and remotely sensed datasets. J. Climate, 9 , 409426.

    • Search Google Scholar
    • Export Citation
  • Frei, A., and D. A. Robinson, 1998: Evaluation of snow extent and its variability in the Atmospheric Model Intercomparison Project. J. Geophys. Res., 103 , 88598871.

    • Search Google Scholar
    • Export Citation
  • Frei, A., and G. Gong, 2005: Decadal to century scale trends in North American snow extent in coupled atmosphere-ocean general circulation models. Geophys. Res. Lett., 32 .L18502, doi:10.1029/2005GL023394.

    • Search Google Scholar
    • Export Citation
  • Frei, A., R. Brown, J. A. Miller, and D. A. Robinson, 2005: Snow mass over North America: Observations and results from the second phase of the Atmospheric Model Intercomparison Project. J. Hydrometeor., 6 , 681695.

    • Search Google Scholar
    • Export Citation
  • Gibson, J., P. Kallberg, S. Uppala, A. Hernandez, A. Nomura, and E. Serrano, 1997: ERA description. ECMWF Re-Analysis Final Rep. Series 1, 71 pp.

  • Groisman, P. Ya, T. R. Karl, R. W. Knight, and G. L. Stenchikov, 1994: Changes of snow cover, temperature, and radiative heat balance over the Northern Hemisphere. J. Climate, 7 , 16331656.

    • Search Google Scholar
    • Export Citation
  • Hall, A., and X. Qu, 2006: Using the current seasonal cycle to constrain snow albedo feedback in future climate change. Geophys. Res. Lett., 33 .L03502, doi:10.1029/2005GL025127.

    • Search Google Scholar
    • Export Citation
  • Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77 , 437471.

  • Kanamitsu, M., W. Ebisuzaki, J. Woollen, S-K. Yang, J. J. Hnilo, M. Fiorino, and G. L. Potter, 2002: NCEP–DOE AMIP-II reanalysis (R-2). Bull. Amer. Meteor. Soc., 83 , 16311643.

    • Search Google Scholar
    • Export Citation
  • Kistler, R., and Coauthors, 2001: The NCEP–NCAR 50-Year Reanalysis: Monthly means CD-ROM and documentation. Bull. Amer. Meteor. Soc., 82 , 247267.

    • Search Google Scholar
    • Export Citation
  • Krenke, A., 1998: updated 2004: Former Soviet Union hydrological snow surveys, 1966–1996. National Snow and Ice Data Center/World Data Center for Glaciology, Boulder, CO, digital media. [Available online at http://nsidc.org/data/docs/noaa/g01170_fsu_snow/index.html.].

  • Li, H., A. Robock, S. Liu, X. Mo, and P. Viterbo, 2005: Evaluation of reanalysis soil moisture simulations using updated Chinese soil moisture observations. J. Hydrometeor., 6 , 180193.

    • Search Google Scholar
    • Export Citation
  • Onogi, K., and Coauthors, 2007: The JRA-25 reanalysis. J. Meteor. Soc. Japan, 85 , 369432.

  • Roesch, A., 2006: Evaluation of surface albedo and snow cover in AR4 coupled climate models. J. Geophys. Res., 111 .D15111, doi:10.1029/2005JD006473.

    • Search Google Scholar
    • Export Citation
  • Saito, K., and J. Cohen, 2003: The potential role of snow cover in forcing interannual variability of the major Northern Hemisphere mode. Geophys. Res. Lett., 30 .1302, doi:10.1029/2002GL016341.

    • Search Google Scholar
    • Export Citation
  • Schär, C., L. Vasilina, F. Pertziger, and S. Dirren, 2004: Seasonal runoff forecasting using precipitation from meteorological data assimilation systems. J. Hydrometeor., 5 , 959973.

    • Search Google Scholar
    • Export Citation
  • Schubert, S. D., R. B. Rood, and J. Pfaendtner, 1993: An assimilated dataset for earth science applications. Bull. Amer. Meteor. Soc., 74 , 23312342.

    • Search Google Scholar
    • Export Citation
  • Serreze, M. C., and C. M. Hurst, 2000: Representation of mean Arctic precipitation from NCEP–NCAR and ERA reanalyses. J. Climate, 13 , 182201.

    • Search Google Scholar
    • Export Citation
  • Serreze, M. C., D. H. Bromwich, M. P. Clark, A. J. Etringer, T. Zhang, and R. Lammers, 2003: Large-scale hydro-climatology of the terrestrial Arctic drainage system. J. Geophys. Res., 108 .8160, doi:10.1029/2001JD000919.

    • Search Google Scholar
    • Export Citation
  • Uppala, S. M., and Coauthors, 2005: The ERA-40 re-analysis. Quart. J. Roy. Meteor. Soc., 131 , 29613012.

  • Verseghy, D. L., 1991: CLASS—A Canadian land surface scheme for GCMs: I. Soil model. Int. J. Climatol., 11 , 111133.

  • Yang, D., D. Robinson, Y. Zhao, T. Estilow, and B. Ye, 2003: Streamflow response to seasonal snow cover extent changes in large Siberian watersheds. J. Geophys. Res., 108 .4578, doi:10.1029/2002JD003149.

    • Search Google Scholar
    • Export Citation
  • Yang, D., B. Ye, and A. Shiklomanov, 2004: Discharge characteristics and changes over the Ob River watershed in Siberia. J. Hydrometeor., 5 , 595610.

    • Search Google Scholar
    • Export Citation
  • Yatagai, A., 2003: Evaluation of hydrological balance and its variability in arid and semi-arid regions of Eurasia from ECMWF 15 year reanalysis. Hydrol. Processes, 17 , 28712884.

    • Search Google Scholar
    • Export Citation
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