Participation at EGU26, 05.05.26, Valentina Premier
Our senior researcher, Valentina Premier, presented two contributions from the SNOWCOP project on Tuesday 5th at EGU26.
In the oral presentation, โ๐๐๐๐๐๐๐: ๐๐ฅ๐ท๐ข๐ฏ๐ค๐ช๐ฏ๐จ ๐๐ช๐จ๐ฉ-๐๐ฆ๐ด๐ฐ๐ญ๐ถ๐ต๐ช๐ฐ๐ฏ ๐๐ฆ๐ต๐ณ๐ฐ๐ด๐ฑ๐ฆ๐ค๐ต๐ช๐ท๐ฆ ๐๐๐ ๐๐ฆ๐ค๐ฐ๐ฏ๐ด๐ต๐ณ๐ถ๐ค๐ต๐ช๐ฐ๐ฏ ๐ช๐ฏ ๐ต๐ฉ๐ฆ ๐๐ฏ๐ฅ๐ฆ๐ด ๐ฐ๐ง ๐๐ฉ๐ช๐ญ๐ฆ ๐ข๐ฏ๐ฅ ๐๐ณ๐จ๐ฆ๐ฏ๐ต๐ช๐ฏ๐ข ๐ธ๐ช๐ต๐ฉ ๐๐ฆ๐ฎ๐ฐ๐ต๐ฆ ๐๐ฆ๐ฏ๐ด๐ช๐ฏ๐จโ, she shared first results from the Maipo River Basin test site. The work combines Copernicus and other remote sensing data with an enhanced temperature index (ETI) model to reconstruct snow water equivalent (SWE).
She also presented a PICO presentation on behalf of Carlo Marin and the ESA team: โEvaluating the Use of NRB Sentinel-1 Products for High-Resolution SWE Reconstruction in Mountain Regions.โ This study investigates how Normalized Radar Backscatter (NRB) can help detect snowmelt phases and improve SWE estimates.
Key takeaways:
โข Comparison with a state-of-the-art dataset (Cortรฉs & Margulis, 2017) highlights differences driven by backward vs. forward modeling approaches
โข The ETI model shows limitations, particularly in simulating early melt under low energy input conditions
โข NRB Sentinel-1 backscatter provides high-quality, analysis-ready data that can be directly integrated into workflows, improving melt timing detection in SWE reconstruction

