期刊论文详细信息
REMOTE SENSING OF ENVIRONMENT 卷:211
The accuracy of snow melt-off day derived from optical and microwave radiometer data - A study for Europe
Article
Metsamaki, Sari1  Bottcher, Kristin1  Pulliainen, Jouni2  Luojus, Kari2  Cohen, Juval2  Takala, Matias2  Mattila, Olli-Pekka1  Schwaizer, Gabriele3  Derksen, Chris4  Koponen, Sampsa1 
[1] Finnish Environm Inst, Helsinki, Finland
[2] Finnish Meteorol Inst, Helsinki, Finland
[3] ENVEO IT GmbH, Innsbruck, Austria
[4] Environm Canada, Gatineau, PQ, Canada
关键词: Snow;    Fractional snow cover;    FSC;    Melt-off day;    Microwave radiometer data;    Optical data;    Snow water equivalent;   
DOI  :  10.1016/j.rse.2018.03.029
来源: Elsevier
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【 摘 要 】

This paper describes the methodology for deriving yearly pixel-wise snow melt-off day maps from optical data based FSC (Fractional Snow Cover) without conducting any interpolation for cloud-obscured pixels or otherwise missing data. The Copernicus CryoLand Pan-European FSC time series for 2001-2016 re-gridded to 0.1 degrees serves as input for the production of 16 years of melt-off day maps for Europe. These maps are compared with passive microwave radiometer (MWR) melt retrievals, to compare the performance of these two independent datasets, particularly concerning the effect of physiographic and snow conditions on the accuracy of the melt-off day estimates. Both these datasets are evaluated against melt-off day derived from in situ snow depth (SD) time series observed at European weather stations. We also present the relationship of these snow melt-off day products to a passive microwave radiometer-derived landscape freeze/thaw product. Our results show that the melt-off day derived from optical springtime FSC time series provides the strongest correlation with the snow melt-off day with respect to the in situ data. Overall the deviation of CryoLand FSC data derived melt-off day to that indicated by in situ observations is quite small, with positive bias of 0.9 days, and RMSE of 13.1 days. For 85% of the analyzed cases the differences are between 10 days. Across Europe the MWR-based detection of melt-off day is less accurate; the investigated method performs the best for areas with sustained seasonal snow cover. Based on the time series for MWR-based melt-off day (1980-2016) and FT-ESDR (1980-2014), separately for boreal forests and tundra, we also found a clear trend towards earlier snow clearance: a decrease of melt-off day by as much as 5 days per decade in boreal forest region was observed.

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