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4. IT-SNOW: a snow reanalysis for Italy blending modeling, in situ data, and satellite observations (2010–2021)

Author

Avanzi, Francesco, primary, Gabellani, Simone, additional, Delogu, Fabio, additional, Silvestro, Francesco, additional, Pignone, Flavio, additional, Bruno, Giulia, additional, Pulvirenti, Luca, additional, Squicciarino, Giuseppe, additional, Fiori, Elisabetta, additional, Rossi, Lauro, additional, Puca, Silvia, additional, Toniazzo, Alexander, additional, Giordano, Pietro, additional, Falzacappa, Marco, additional, Ratto, Sara, additional, Stevenin, Hervè, additional, Cardillo, Antonio, additional, Fioletti, Matteo, additional, Cazzuli, Orietta, additional, Cremonese, Edoardo, additional, Morra di Cella, Umberto, additional, and Ferraris, Luca, additional

Published
2023
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5. A Complete Meteo/Hydro/Hydraulic Chain Application to Support Early Warning and Monitoring Systems: The Apollo Medicane Use Case

Author

Lagasio, Martina, primary, Fagugli, Giacomo, additional, Ferraris, Luca, additional, Fiori, Elisabetta, additional, Gabellani, Simone, additional, Masi, Rocco, additional, Mazzarella, Vincenzo, additional, Milelli, Massimo, additional, Parodi, Andrea, additional, Pignone, Flavio, additional, Puca, Silvia, additional, Pulvirenti, Luca, additional, Silvestro, Francesco, additional, Squicciarino, Giuseppe, additional, and Parodi, Antonio, additional

Published
2022
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7. IT-SNOW: a snow reanalysis for Italy blending modeling, in-situ data, and satellite observations (2010-2021).

Author

Avanzi, Francesco, Gabellani, Simone, Delogu, Fabio, Silvestro, Francesco, Pignone, Flavio, Bruno, Giulia, Pulvirenti, Luca, Squicciarino, Giuseppe, Fiori, Elisabetta, Rossi, Lauro, Puca, Silvia, Toniazzo, Alexander, Giordano, Pietro, Falzacappa, Marco, Ratto, Sara, Stevenin, Hervé, Cardillo, Antonio, Fioletti, Matteo, Cazzuli, Orietta, and Cremonese, Edoardo

Subjects
AUTOMATIC meteorological stations, SNOW accumulation, STANDARD deviations
Abstract

We present IT-SNOW, a serially complete and multi-year snow reanalysis for Italy (300k+ km²) covering a transitional continental-to-Mediterranean region where snow plays an important, but still poorly constrained societal and ecological role. IT-SNOW provides ∼500-m, daily maps of Snow Water Equivalent (SWE), snow depth, bulk-snow density, and liquid water content for the 5 period 01/09/2010 - 31/08/2021, with future updates envisaged on a regular basis. As the output of an operational chain employed in real-world civil-protection applications (S3M Italy), IT-SNOW ingests input data from thousands of automatic weather stations, snow-covered-area maps from Sentinel 2, MODIS, and H-SAF products, and maps of snow depth from the spazialization of 350+ on-the-ground snow-depth sensors. Validation using Sentinel-1-based maps of snow depth and a variety of independent, in-situ snow data from three focus regions (Aosta Valley, Lombardia, and Molise) shows little to none mean bias compared to the former, and Root Mean Square Errors on the order of 30 to 60 cm and 90 to 300 mm for in-situ, measured snow depth and Snow Water Equivalent, respectively. Estimates of peak SWE by IT-SNOW are also well correlated with annual streamflow at the closure section of 102 basins across Italy (0.87), with ratios between peak SWE and annual streamflow that are in line with expectations for this mixed rain-snow region (22% on average). Examples of use allowed us to estimate 13.70 ± 4.9 Gm3 of SWE across the Italian landscape at peak accumulation, which on average occurs on the 4th of March. Nearly 52% of mean seasonal SWE is accumulated across the Po river basin, followed by the Adige river (23%), and central Apennines (5%). IT-SNOW is freely available with the following DOI: https://doi.org/10.5281/zenodo.7034956 (Avanzi et al., 2022b) and can contribute to better constraining the role of snow for seasonal to annual water resources - a crucial endevor in a warming and drier climate. [ABSTRACT FROM AUTHOR]

Published
2022
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12. Zambia Disaster Risk Profile (2018)

Author

Rudari, Roberto, Conijn, J.G., De Angeli, Sylvia, de Moel, Hans, Ferraris, Luca, Fiori, Elisabetta, Ghizzoni, Tatiana, Gomes, Isabel, Massabo, Marco, Rossi, Lauro, and Trasforini, Eva

Subjects
Land Use and Food Security, Life Science, Landgebruik en Voedselzekerheid
Published
2018

13. Angola Disaster Risk Profile (2018)

Author

Rudari, Roberto, Conijn, J.G., De Angeli, Sylvia, de Moel, Hans, Ferraris, Luca, Fiori, Elisabetta, Ghizzoni, Tatiana, Gomes, Isabel, Massabo, Marco, Rossi, Lauro, and Trasforini, Eva

Subjects
Land Use and Food Security, Life Science, Landgebruik en Voedselzekerheid
Published
2018

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