Articles | Volume 15, issue 2
https://doi.org/10.5194/essd-15-639-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-639-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
IT-SNOW: a snow reanalysis for Italy blending modeling, in situ data, and satellite observations (2010–2021)
Francesco Avanzi
CORRESPONDING AUTHOR
CIMA Research Foundation, Via Armando Magliotto 2, 17100 Savona, Italy
Simone Gabellani
CIMA Research Foundation, Via Armando Magliotto 2, 17100 Savona, Italy
Fabio Delogu
CIMA Research Foundation, Via Armando Magliotto 2, 17100 Savona, Italy
Francesco Silvestro
CIMA Research Foundation, Via Armando Magliotto 2, 17100 Savona, Italy
Flavio Pignone
CIMA Research Foundation, Via Armando Magliotto 2, 17100 Savona, Italy
Giulia Bruno
CIMA Research Foundation, Via Armando Magliotto 2, 17100 Savona, Italy
Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, 16145 Genoa, Italy
Luca Pulvirenti
CIMA Research Foundation, Via Armando Magliotto 2, 17100 Savona, Italy
Giuseppe Squicciarino
CIMA Research Foundation, Via Armando Magliotto 2, 17100 Savona, Italy
Elisabetta Fiori
CIMA Research Foundation, Via Armando Magliotto 2, 17100 Savona, Italy
Lauro Rossi
CIMA Research Foundation, Via Armando Magliotto 2, 17100 Savona, Italy
Silvia Puca
Italian Civil Protection Department, Rome, Italy
Alexander Toniazzo
Italian Civil Protection Department, Rome, Italy
Pietro Giordano
Italian Civil Protection Department, Rome, Italy
Marco Falzacappa
Italian Civil Protection Department, Rome, Italy
Sara Ratto
Regione Autonoma Valle d'Aosta, Centro funzionale regionale, Via Promis 2/a, 11100 Aosta, Italy
Hervè Stevenin
Regione Autonoma Valle d'Aosta, Centro funzionale regionale, Via Promis 2/a, 11100 Aosta, Italy
Antonio Cardillo
Civil Protection, Regional Functional Center, Molise Region, Campochiaro, CB, Italy
Matteo Fioletti
Environmental Protection Agency of Lombardy, Milan, Italy
Orietta Cazzuli
Environmental Protection Agency of Lombardy, Milan, Italy
Edoardo Cremonese
Aosta Valley Regional Environmental Protection Agency, loc. La Maladière 48, 11020 Saint-Christophe, Italy
Umberto Morra di Cella
CIMA Research Foundation, Via Armando Magliotto 2, 17100 Savona, Italy
Aosta Valley Regional Environmental Protection Agency, loc. La Maladière 48, 11020 Saint-Christophe, Italy
Luca Ferraris
CIMA Research Foundation, Via Armando Magliotto 2, 17100 Savona, Italy
Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, 16145 Genoa, Italy
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Cited
9 citations as recorded by crossref.
- A random forest approach to quality-checking automatic snow-depth sensor measurements G. Blandini et al. 10.5194/tc-17-5317-2023
- Distinct responses of climate-growth and iWUE in Fagus sylvatica L. at two low elevation sites in southern Italy J. Kabala et al. 10.1007/s11676-024-01788-6
- Identifying snowfall elevation patterns by assimilating satellite-based snow depth retrievals M. Girotto et al. 10.1016/j.scitotenv.2023.167312
- Winter snow deficit was a harbinger of summer 2022 socio-hydrologic drought in the Po Basin, Italy F. Avanzi et al. 10.1038/s43247-024-01222-z
- Unprecedented snow-drought conditions in the Italian Alps during the early 2020s N. Colombo et al. 10.1088/1748-9326/acdb88
- Water and Us: tales and hands-on laboratories to educate about sustainable and nonconflictual water resources management F. Munerol et al. 10.5194/gc-7-1-2024
- Combining Daily Sensor Observations and Spatial LiDAR Data for Mapping Snow Water Equivalent in a Sub‐Alpine Forest J. Geissler et al. 10.1029/2023WR034460
- Hydrological model skills change with drought severity; insights from multi-variable evaluation G. Bruno et al. 10.1016/j.jhydrol.2024.131023
- IT-SNOW: a snow reanalysis for Italy blending modeling, in situ data, and satellite observations (2010–2021) F. Avanzi et al. 10.5194/essd-15-639-2023
8 citations as recorded by crossref.
- A random forest approach to quality-checking automatic snow-depth sensor measurements G. Blandini et al. 10.5194/tc-17-5317-2023
- Distinct responses of climate-growth and iWUE in Fagus sylvatica L. at two low elevation sites in southern Italy J. Kabala et al. 10.1007/s11676-024-01788-6
- Identifying snowfall elevation patterns by assimilating satellite-based snow depth retrievals M. Girotto et al. 10.1016/j.scitotenv.2023.167312
- Winter snow deficit was a harbinger of summer 2022 socio-hydrologic drought in the Po Basin, Italy F. Avanzi et al. 10.1038/s43247-024-01222-z
- Unprecedented snow-drought conditions in the Italian Alps during the early 2020s N. Colombo et al. 10.1088/1748-9326/acdb88
- Water and Us: tales and hands-on laboratories to educate about sustainable and nonconflictual water resources management F. Munerol et al. 10.5194/gc-7-1-2024
- Combining Daily Sensor Observations and Spatial LiDAR Data for Mapping Snow Water Equivalent in a Sub‐Alpine Forest J. Geissler et al. 10.1029/2023WR034460
- Hydrological model skills change with drought severity; insights from multi-variable evaluation G. Bruno et al. 10.1016/j.jhydrol.2024.131023
Latest update: 20 Nov 2024
Short summary
Snow cover has profound implications for worldwide water supply and security, but knowledge of its amount and distribution across the landscape is still elusive. We present IT-SNOW, a reanalysis comprising daily maps of snow amount and distribution across Italy for 11 snow seasons from September 2010 to August 2021. The reanalysis was validated using satellite images and snow measurements and will provide highly needed data to manage snow water resources in a warming climate.
Snow cover has profound implications for worldwide water supply and security, but knowledge of...
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