Articles | Volume 9, issue 2
The Cryosphere, 9, 451–463, 2015
The Cryosphere, 9, 451–463, 2015

Research article 04 Mar 2015

Research article | 04 Mar 2015

Snow-cover reconstruction methodology for mountainous regions based on historic in situ observations and recent remote sensing data

A. Gafurov et al.

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Cited articles

Aizen, V., Aizen, E., and Melack, J.: Climate snow cover, glaciers and runoff in the Tien Shan, Central Asia, Water Resour. Bull., 31, 1113–1129, 1995.
Ault, T., Czajkowski, K., Benko, T., Coss, J., Struble, J., Spongberg, A., Templin, M., and Gross, C.: Validation of the MODIS snow product and cloud mask using student and NWS cooperative station observations in the Lower Great Lakes Region, Remote Sens. Environ., 105, 341–353, 2006.
Brown, R.: Northern Hemisphere Snow Cover Variability and Change, 1915–1997, J. Climate, 13, 2339–2355, 2000.
Brown, R. D. and Robinson, D. A.: Northern Hemisphere spring snow cover variability and change over 1922–2010 including an assessment of uncertainty, The Cryosphere, 5, 219–229,, 2011.
Corbari, C., Ravazzani, G., Martinelli, J., and Mancini, M.: Elevation based correction of snow coverage retrieved from satellite images to improve model calibration, Hydrol. Earth Syst. Sci., 13, 639-649,, 2009.
Short summary
Spatially distributed snow-cover data are available only for the recent past from remote sensing. Sometimes we need snow-cover data over a longer period for climate impact analysis for the calibration/validation of hydrological models. In this study we present a methodology to reconstruct snow cover in the past using available long-term in situ data and recently available remote sensing snow-cover data. The results show about 85% accuracy although only a limited number of stations (7) were used.