Verbeterde sneeuwhydrologie met Sentinel-1: Van Radar-Sneeuw Interacties tot Nauwkeurigere Rivierafvoer Voorspellingen
Year: 2025
Type: dissertation
Abstract: Seasonal snow plays a vital role in Earth's hydrological cycle, serving as a temporary water reservoir supplying approximately one-sixth of the global population. However, accurately quantifying the amount of water stored in snow, particularly in complex mountainous terrain, remains a significant challenge. This research addresses this challenge by leveraging data from ESA's Sentinel-1 satellite mission. By assimilating Sentinel-1-derived snow depth into a coupled routing and land surface model, we obtained an improvement in streamflow simulations, enhancing both the timing and volume of snowmelt contributions. A second component of this research focuses on understanding the interactions between C-band radar waves and snow. Through tower-based and mobile sled-based radar experiments, we revealed considerable volume scattering within the snowpack and showed how stratigraphical changes can introduce potential uncertainties in retrieval algorithms. This refines our ability to interpret Sentinel-1 satellite data and leverage it for accurate snow depth estimation and its application in water resource management.
Source: Lirias
Author: Brangers, Isis
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: green
OpenAlex ID: W7112530780
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