Remote sensing of snow cover variability and its influence on the runoff of Sápmi's rivers

• Published in: Geosciences
• Main Authors: Rößler, Sebastian, Witt, Marius S., Ikonen, Jaakko, Brown, Ian A., Dietz, Andreas J.
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2021
• Subjects: ddc:550; Arctic; Kendall
• Online Access: https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/23426; https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-234261; https://doi.org/10.3390/geosciences11030130; https://opus.bibliothek.uni-wuerzburg.de/files/23426/geosciences-11-00130-v2.pdf

The boreal winter 2019/2020 was very irregular in Europe. While there was very little snow in Central Europe, the opposite was the case in northern Fenno-Scandia, particularly in the Arctic. The snow cover was more persistent here and its rapid melting led to flooding in many places. Since the last severe spring floods occurred in the region in 2018, this raises the question of whether more frequent occurrences can be expected in the future. To assess the variability of snowmelt related flooding we used snow cover maps (derived from the DLR's Global SnowPack MODIS snow product) and freely available data on runoff, precipitation, and air temperature in eight unregulated river catchment areas. A trend analysis (Mann-Kendall test) was carried out to assess the development of the parameters, and the interdependencies of the parameters were examined with a correlation analysis. Finally, a simple snowmelt runoff model was tested for its applicability to this region. We noticed an extraordinary variability in the duration of snow cover. If this extends well into spring, rapid air temperature increases leads to enhanced thawing. According to the last flood years 2005, 2010, 2018, and 2020, we were able to differentiate between four synoptic flood types based on their special hydrometeorological and snow situation and simulate them with the snowmelt runoff model (SRM).