Nuovo appuntamento in programma domani per la serie “Environmental Metetorology and Climate Physics Seminar” , promossa dall’Università di Trento.
Giovedì 16 Ottobre alle ore 14:30 Matteo Dall’Amico (Waterjade), terrà un seminario dal titolo: “High resolution & large scale snow monitoring: new approaches and applications”.
Dove: Lecture Room 1P – DICAM – University of Trento, Via Mesiano 77, Trento
Per partecipare all’evento online: https://unitn.zoom.us/j/84031853563 (Meeting ID: 840 3185 3563, Passcode: 660333)
Abstract
Understanding snow dynamics is critical in mountain-fed basins, where
snowmelt plays a key role in sustaining streamflow and water supply. We
present j-snow, a hybrid modeling approach developed by Waterjade,
designed to reconstruct long-term daily Snow Water Equivalent (SWE) at
high spatial resolution by integrating physical modeling, satellite data
assimilation, and in-situ measurements.
Our recent application over the Po River District (1991–2021)
demonstrates how j-snow enables the production of a high-quality SWE
dataset, validated against ground stations and satellite snow cover
maps. This dataset not only offers insights into historical snow trends
but also provides a robust foundation for forecasting inflows,
supporting flood risk assessment, and informing water resource
management under climate change scenarios.
In this seminar, we will overview the j-snow architecture, present key
validation results, and discuss how the methodology can be embedded in
operational systems.