Validation of the operational MSG-SEVIRI snow cover product over Austria
The objective of this study is to evaluate the mapping accuracy of the MSG-SEVIRI operational snow cover product over Austria. The SEVIRI instrument is aboard the geostationary Meteosat Second Generation (MSG) satellite. The snow cover product provides 32 images per day, with a relatively low spatia...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2014-02-01
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Series: | Hydrology and Earth System Sciences |
Online Access: | http://www.hydrol-earth-syst-sci.net/18/763/2014/hess-18-763-2014.pdf |
Summary: | The objective of this study is to evaluate the mapping accuracy of the
MSG-SEVIRI operational snow cover product over Austria. The SEVIRI instrument
is aboard the geostationary Meteosat Second Generation (MSG) satellite. The
snow cover product provides 32 images per day, with a relatively low spatial
resolution of 5 km over Austria. The mapping accuracy is examined at 178
stations with daily snow depth observations and compared with the daily
MODIS-combined (Terra + Aqua) snow cover product for the period April
2008–June 2012.
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The results show that the 15 min temporal sampling allows a significant
reduction of clouds in the snow cover product. The mean annual cloud coverage
is less than 30% in Austria, as compared to 52% for the combined MODIS
product. The mapping accuracy for cloud-free days is 89% as compared to
94% for MODIS. The largest mapping errors are found in regions with large
topographical variability. The errors are noticeably larger at stations with
elevations that differ greatly from those of the mean MSG-SEVIRI pixel
elevations. The median of mapping accuracy for stations with absolute
elevation difference less than 50 m and more than 500 m is 98.9 and
78.2%, respectively. A comparison between the MSG-SEVIRI and MODIS
products indicates an 83% overall agreement. The largest disagreements are
found in Alpine valleys and flatland areas in the spring and winter months, respectively. |
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ISSN: | 1027-5606 1607-7938 |