Articles | Volume 15, issue 2
https://doi.org/10.5194/essd-15-639-2023
https://doi.org/10.5194/essd-15-639-2023
Data description paper
 | 
08 Feb 2023
Data description paper |  | 08 Feb 2023

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

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

Data sets

IT-SNOW: a snow reanalysis for Italy blending modeling, in-situ data, and satellite observations Francesco Avanzi, Simone Gabellani, Fabio Delogu, Francesco Silvestro, Flavio Pignone, Giulia Bruno, Luca Pulvirenti, Giuseppe Squicciarino, Elisabetta Fiori, Lauro Rossi, Silvia Puca, Alexander Toniazzo, Pietro Giordano, Marco Falzacappa, Sara Ratto, Hervè Stevenin, Antonio Cardillo, Matteo Fioletti, Orietta Cazzuli, Edoardo Cremomese, Umberto Morra di Cella, and Luca Ferraris https://doi.org/10.5281/zenodo.7034956

Model code and software

The S3M Model v 5.1.0 Francesco Avanzi, Simone Gabellani, Fabio Delogu, and Francesco Silvestro https://doi.org/10.5281/zenodo.4663899

c-hydro/fp-s3m Francesco Avanzi https://doi.org/10.5281/zenodo.5040388

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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.
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