Articles | Volume 27, issue 2
https://doi.org/10.5194/hess-27-519-2023
© 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/hess-27-519-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Jan 2023
Research article |
| 27 Jan 2023
| 27 Jan 2023
Seasonal forecasting of snow resources at Alpine sites
Institute of Atmospheric Sciences and Climate, National Research Council, Turin, Italy
Giulio Bongiovanni
Institute of Atmospheric Sciences and Climate, National Research Council, Turin, Italy
Department of Civil, Environmental and Mechanical Engineering, University of Trento, Trento, Italy
Jost von Hardenberg
Department of Environment, Land and Infrastructure Engineering, Politecnico di Torino, Turin, Italy
Institute of Atmospheric Sciences and Climate, National Research Council, Turin, Italy
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Short summary
Reliable seasonal forecasts of the abundance of mountain snowpack over the winter/spring ahead provide valuable information for water management, hydropower production and ski tourism. We present a climate service prototype to generate multi-model ensemble seasonal forecasts of mountain snow depth, based on Copernicus seasonal forecast system meteorological data used to force the SNOWPACK model. The prototype shows skill at predicting snow depth below and above normal and extremely dry seasons.
Reliable seasonal forecasts of the abundance of mountain snowpack over the winter/spring ahead...
