Articles | Volume 11, issue 4
The Cryosphere, 11, 1933–1948, 2017
https://doi.org/10.5194/tc-11-1933-2017
The Cryosphere, 11, 1933–1948, 2017
https://doi.org/10.5194/tc-11-1933-2017
Research article
23 Aug 2017
Research article | 23 Aug 2017

Evaluation of snow cover and snow depth on the Qinghai–Tibetan Plateau derived from passive microwave remote sensing

Liyun Dai et al.

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Cited articles

Armstrong, R. L. and Brodzik, M. J.: Hemispheric-scale comparison and evaluation of passive-microwave snow algorithms, Ann. Glaciol., 34, 38–44, 2002.
Ashcroft, P. and Wentz, F.: Algorithm Theoretical Basis Document for the AMSR Level-2A Algorithm, Remote Sensing Systems, Santa Rosa, California, USA, 2000.
Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.: Potential impacts of a warming climate on water availability in snow-dominated regions, Nature, 438, 303–309, 2005.
Brodzik, M. J. and Knowles, K. W.: EASE-Grid: A Versatile Set of Equal-Area Projections and Grids, in: Discrete Global Grids, edited by: Goodchild, M., National Center for Geographic Information & Analysis, Santa Barbara, California, USA, 2002.
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, https://doi.org/10.5194/tc-5-219-2011, 2011.
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Short summary
Snow depth over QTP plays a very important role in the climate and hydrological system, but there are uncertainties on the snow depth products derived from passive microwave remote sensing data. In this study, we evaluated the ability of passive microwave to detect snow cover and snow depth over QTP, presented the accuracy of passive microwave snow cover and snow depth products over QTP, and analyzed the possible reasons causing the uncertainties.