Snow–Atmosphere Coupling Strength. Part II: Albedo Effect Versus Hydrological Effect

Li Xu Department of Atmospheric, Oceanic and Earth Science, George Mason University, Fairfax, Virginia

Search for other papers by Li Xu in
Current site
Google Scholar
PubMed
Close
and
Paul Dirmeyer Center for Ocean–Land–Atmosphere Studies, Calverton, Maryland

Search for other papers by Paul Dirmeyer in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

In this study of snow–atmosphere coupling strength, the previous snow–atmosphere coupled modeling experiment is extended to investigate the separate impacts on the atmosphere of the radiatively driven snow albedo effect and the snow hydrological effect that operates through soil moisture, evapotranspiration, and precipitation feedbacks. The albedo effect is governed by snow cover fraction, while the hydrological effect is controlled by anomalies in snow water equivalent. Realistic snow cover from satellite estimates is prescribed and compared with model-generated values to isolate the snow albedo effect. Similarly, imparting realistic snow water equivalent from the Global Land Data Assimilation System in the model allows for estimation of the snow hydrological effect. The snow albedo effect is found to be active before, and especially during, the snowmelt period, and regions of strong albedo-driven coupling move northward during spring, with the retreating edge of the snowpack in the Northern Hemisphere. The snow hydrological effect appears first during snowmelt and can persist for months afterward. The contributing factors to the snow albedo effect are analyzed in a theoretical framework.

Current affiliation: Center for Ocean–Land–Atmosphere Studies, Calverton, Maryland.

Corresponding author address: Li Xu, Center for Ocean–Land–Atmosphere Studies, 4041 Powder Mill Rd., Ste. 302, Calverton, MD 20705. E-mail: lixu@cola.iges.org

Abstract

In this study of snow–atmosphere coupling strength, the previous snow–atmosphere coupled modeling experiment is extended to investigate the separate impacts on the atmosphere of the radiatively driven snow albedo effect and the snow hydrological effect that operates through soil moisture, evapotranspiration, and precipitation feedbacks. The albedo effect is governed by snow cover fraction, while the hydrological effect is controlled by anomalies in snow water equivalent. Realistic snow cover from satellite estimates is prescribed and compared with model-generated values to isolate the snow albedo effect. Similarly, imparting realistic snow water equivalent from the Global Land Data Assimilation System in the model allows for estimation of the snow hydrological effect. The snow albedo effect is found to be active before, and especially during, the snowmelt period, and regions of strong albedo-driven coupling move northward during spring, with the retreating edge of the snowpack in the Northern Hemisphere. The snow hydrological effect appears first during snowmelt and can persist for months afterward. The contributing factors to the snow albedo effect are analyzed in a theoretical framework.

Current affiliation: Center for Ocean–Land–Atmosphere Studies, Calverton, Maryland.

Corresponding author address: Li Xu, Center for Ocean–Land–Atmosphere Studies, 4041 Powder Mill Rd., Ste. 302, Calverton, MD 20705. E-mail: lixu@cola.iges.org
Save
  • Anderson, E. A., 1976: A point energy and mass balance model of a snow cover. NOAA Tech. Rep. NWS 19, 150 pp.

  • Barlange, M., Zeng X. , Wei H. , and Mitchell K. E. , 2005: A global 0.05° maximum albedo dataset of snow-covered land based on MODIS observations. Geophys. Res. Lett., 32, L17405, doi:10.1029/2005GL022881.

    • Search Google Scholar
    • Export Citation
  • Budyko, M. I., 1961: The determination of evaporation from the land surface. Izv. Akad. Nauk SSSR, Ser. Geogr., 6, 317.

  • Cohen, J., and Rind D. , 1991: The effect of snow cover on the climate. J. Climate, 4, 689706.

  • Dickinson, R. E., 1983: Land surface processes and climate-surface albedos and energy balance. Advances in Geophysics, Vol. 25, Academic Press, 305–353.

    • Search Google Scholar
    • Export Citation
  • Dirmeyer, P. A., Gao X. , Zhao M. , Guo Z. , Oki T. , and Hanasaki N. , 2006: GSWP-2: Multimodel analysis and implications for our perception of the land surface. Bull. Amer. Meteor. Soc., 87, 13811397.

    • Search Google Scholar
    • Export Citation
  • Dirmeyer, P. A., Schlosser C. A. , and Brubaker K. L. , 2009: Precipitation, recycling and land memory: An integrated analysis. J. Hydrometeor., 10, 278288.

    • Search Google Scholar
    • Export Citation
  • Entekhabi, D., and Eagleson P. S. , 1989: Land surface hydrology parameterization for atmospheric general circulation models including subgrid scale spatial variability. J. Climate, 2, 816831.

    • Search Google Scholar
    • Export Citation
  • Guo, Z., and Coauthors, 2006: GLACE: The Global Land–Atmosphere Coupling Experiment. Part II: Analysis. J. Hydrometeor., 7, 611625.

    • Search Google Scholar
    • Export Citation
  • Hall, A., Qu X. , and Neelin J. D. , 2008: Improving predictions of summer climate change in the United States. Geophys. Res. Lett., 35, L01702, doi:10.1029/2007GL032012.

    • Search Google Scholar
    • Export Citation
  • Hall, D. K., Kelly R. E. J. , Riggs G. A. , Chang A. T. C. , and Foster J. L. , 2002: Assessment of the relative accuracy of hemispheric-scale snow-cover maps. Ann. Glaciol., 34, 2430.

    • Search Google Scholar
    • Export Citation
  • Hurrell, J. W., Hack J. J. , Shea D. , Caron J. M. , and Rosinski J. , 2008: A new sea surface temperature and sea ice boundary dataset for the Community Atmosphere Model. J. Climate, 21, 51455153.

    • Search Google Scholar
    • Export Citation
  • Koh, G., and Jordan R. , 1995: Subsurface melting in a seasonal snow cover. J. Glaciol., 41, 474482.

  • Koster, R. D., Dirmeyer P. A. , Hahmann A. N. , Ijpelaar R. , Tyahla L. , Cox P. , and Suarez M. J. , 2002: Comparing the degree of land–atmosphere interaction in four atmospheric general circulation models. J. Hydrometeor., 3, 363375.

    • Search Google Scholar
    • Export Citation
  • Lehning, M., Bartelt P. , Brown B. , Fierz C. , and Satyawali P. , 2002: A physical SNOWPACK model for the Swiss avalanche warning. Part II: Snow microstructure. Cold Reg. Sci. Technol., 35, 147167.

    • Search Google Scholar
    • Export Citation
  • Marshall, S., 1989: A physical parameterization of snow albedo for use in climate models. Rep. NCAR/CT-123, 160 pp.

  • Marshall, S., and Warren S. G. , 1986: Parameterization of snow albedo for climate models. Snow Watch ‘85, Rep. GD-18, World Data Center for Glaciology, Boulder, CO, 215223. [Available online at http://www.atmos.washington.edu/~sgw/PAPERS/1986_Marshall.pdf.]

  • Mote, T. L., 2008: On the role of snow cover in depressing air temperature. J. Appl. Meteor. Climatol., 47, 20082022.

  • Niu, G. Y., and Yang Z. L. , 2006: Effects of frozen soil on snowmelt runoff and soil water storage at a continental scale. J. Hydrometeor., 7, 937952.

    • Search Google Scholar
    • Export Citation
  • Quiring, S. M., and Kluver D. B. , 2009: Relationship between winter/spring snowfall and summer precipitation in the northern Great Plains of North America. J. Hydrometeor., 10, 12031217.

    • Search Google Scholar
    • Export Citation
  • Walland, D. J., and Simmonds I. , 1996: Modelled atmospheric response to changes in Northern Hemisphere snow cover. Climate Dyn., 13, 2534.

    • Search Google Scholar
    • Export Citation
  • Walsh, J. E., Tucek D. R. , and Peterson M. R. , 1982: Seasonal snow cover and short-term climatic fluctuations over the United States. Mon. Wea. Rev., 110, 14741485.

    • Search Google Scholar
    • Export Citation
  • Wang, Z., and Zeng X. , 2010: Evaluation of snow albedo in land models for weather and climate studies. J. Appl. Meteor. Climatol., 49, 363380.

    • Search Google Scholar
    • Export Citation
  • Wiscombe, W. J., and Warren S. G. , 1980: A model for the spectral albedo of snow. I: Pure snow. J. Atmos. Sci., 37, 27122733.

  • Xu, L., 2011: Snow cover as a source of climate predictability: Mechanisms of snow-atmosphere coupling. Ph.D. dissertation, George Mason University, 241 pp. [Available online at http://digilib.gmu.edu:8080/xmlui/handle/1920/6261.]

  • Xu, L., and Dirmeyer P. A. , 2011: Snow–atmosphere coupling strength in a global atmospheric model. Geophys. Res. Lett., 38, L13401, doi:10.1029/2011GL048049.

    • Search Google Scholar
    • Export Citation
  • Xu, L., and Dirmeyer P. A. , 2013: Snow–atmosphere coupling strength. Part I: Effect of model biases. J. Hydrometeor., 14, 389403.

  • Zhao, L. T., and Gray D. M. , 1999: Estimating snowmelt infiltration into frozen soils. Hydrol. Processes, 13, 18271842.

  • Zhao, Z., 1999: The Summer Rainfall in China and Its Environment Field. China Meteorological Press, 204 pp.

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 957 363 28
PDF Downloads 793 284 22