Articles | Volume 15, issue 9
https://doi.org/10.5194/tc-15-4261-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-4261-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Sep 2021
Research article |
| 07 Sep 2021
| 07 Sep 2021
Evaluation of snow extent time series derived from Advanced Very High Resolution Radiometer global area coverage data (1982–2018) in the Hindu Kush Himalayas
College of Earth and Environmental Sciences, Lanzhou University,
Lanzhou 730000, China
Institute of Geography and Oeschger Center for Climate Change
Research, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland
Kathrin Naegeli
Institute of Geography and Oeschger Center for Climate Change
Research, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland
Valentina Premier
EURAC Research, 39100 Bolzano, Italy
Carlo Marin
EURAC Research, 39100 Bolzano, Italy
Dujuan Ma
College of Earth and Environmental Sciences, Lanzhou University,
Lanzhou 730000, China
Jingping Wang
College of Earth and Environmental Sciences, Lanzhou University,
Lanzhou 730000, China
Stefan Wunderle
Institute of Geography and Oeschger Center for Climate Change
Research, University of Bern, Hallerstrasse 12, 3012 Bern, Switzerland
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Short summary
We performed a comprehensive accuracy assessment of an Advanced Very High Resolution Radiometer global area coverage snow-cover extent time series dataset for the Hindu Kush Himalayan (HKH) region. The sensor-to-sensor consistency, the accuracy related to snow depth, elevations, land-cover types, slope, and aspects, and topographical variability were also explored. Our analysis shows an overall accuracy of 94 % in comparison with in situ station data, which is the same with MOD10A1 V006.
We performed a comprehensive accuracy assessment of an Advanced Very High Resolution Radiometer...
