Articles | Volume 18, issue 12
https://doi.org/10.5194/hess-18-4773-2014
https://doi.org/10.5194/hess-18-4773-2014
Research article
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03 Dec 2014
Research article | Highlight paper |  | 03 Dec 2014

Estimating degree-day factors from MODIS for snowmelt runoff modeling

Z. H. He, J. Parajka, F. Q. Tian, and G. Blöschl

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (Editor review) (28 Oct 2014) by Vazken Andréassian
AR by Zhihua He on behalf of the Authors (28 Oct 2014)  Author's response    Manuscript
ED: Publish subject to technical corrections (04 Nov 2014) by Vazken Andréassian
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Short summary
In this paper, we propose a new method for estimating the snowmelt degree-day factor (DDFS) directly from MODIS snow covered area (SCA) and ground-based snow depth data without calibration. Snow density is estimated as the ratio between observed precipitation and changes in the snow volume for days with snow accumulation. DDFS values are estimated as the ratio between changes in the snow water equivalent and difference between the daily temperature and a threshold value for days with snowmelt.