The European Alps are a major mountain range in Europe with a long history of dense in-situ observations of snow cover, whose analysis is hampered by the fragmentation of observer networks and the varying quality and availability of their data. Here we present a collation of in-situ observations of snow depth and depth of snowfall across the whole Alps. We employed novel quality checks and gap-filling procedures based on spatial correlation, which work in areas with a moderate to high density of stations. We show how the climatology of in-situ snow depth and remotely sensed snow cover duration matches the expected climatic forcing zones. These large-scale climatic zones not only influenced day-to-day variability but also long-term trends. A multivariate attribution study highlights the impact of temperature and precipitation variability on snowfall patterns in a smaller subregion. Finally, future snow cover information is derived from an ensemble of regional climate models.

Snow cover climatology and trends in the European Alps from in-situ observations, remote sensing, and regional climate models / Matiu, Michael; Crespi, Alice; Bertoldi, Giacomo; Maria Carmagnola, Carlo; Marty, Christoph; Morin, Samuel; Schöner, Wolfgang; Bozzoli, Michele; Majone, Bruno; Giovannini, Lorenzo; Zardi, Dino; Hanzer, Florian. - (2023). (Intervento presentato al convegno IUGG2023 tenutosi a Berlin, Germania nel 2023-07-11 - 2023-07-20) [10.57757/iugg23-1751].

Snow cover climatology and trends in the European Alps from in-situ observations, remote sensing, and regional climate models

Michael Matiu
;
Michele Bozzoli;Bruno Majone;Lorenzo Giovannini;Dino Zardi;
2023-01-01

Abstract

The European Alps are a major mountain range in Europe with a long history of dense in-situ observations of snow cover, whose analysis is hampered by the fragmentation of observer networks and the varying quality and availability of their data. Here we present a collation of in-situ observations of snow depth and depth of snowfall across the whole Alps. We employed novel quality checks and gap-filling procedures based on spatial correlation, which work in areas with a moderate to high density of stations. We show how the climatology of in-situ snow depth and remotely sensed snow cover duration matches the expected climatic forcing zones. These large-scale climatic zones not only influenced day-to-day variability but also long-term trends. A multivariate attribution study highlights the impact of temperature and precipitation variability on snowfall patterns in a smaller subregion. Finally, future snow cover information is derived from an ensemble of regional climate models.
2023
XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
Berlin, Germania
GFZ Potsdam
Snow cover climatology and trends in the European Alps from in-situ observations, remote sensing, and regional climate models / Matiu, Michael; Crespi, Alice; Bertoldi, Giacomo; Maria Carmagnola, Carlo; Marty, Christoph; Morin, Samuel; Schöner, Wolfgang; Bozzoli, Michele; Majone, Bruno; Giovannini, Lorenzo; Zardi, Dino; Hanzer, Florian. - (2023). (Intervento presentato al convegno IUGG2023 tenutosi a Berlin, Germania nel 2023-07-11 - 2023-07-20) [10.57757/iugg23-1751].
Matiu, Michael; Crespi, Alice; Bertoldi, Giacomo; Maria Carmagnola, Carlo; Marty, Christoph; Morin, Samuel; Schöner, Wolfgang; Bozzoli, Michele; Majone, Bruno; Giovannini, Lorenzo; Zardi, Dino; Hanzer, Florian
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/408893
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