Snow cover prediction in the Italian central Apennines using weather forecast and land surface numerical models

Raparelli, Edoardo; Tuccella, Paolo; Colaiuda, Valentina; Marzano, Frank S.

doi:https://doi.org/10.5194/tc-17-519-2023

Articles | Volume 17, issue 2

https://doi.org/10.5194/tc-17-519-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-17-519-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 2

Research article

|

07 Feb 2023

Research article |

| 07 Feb 2023

Snow cover prediction in the Italian central Apennines using weather forecast and land surface numerical models

Edoardo Raparelli, Paolo Tuccella, Valentina Colaiuda, and Frank S. Marzano

Supplement

https://doi.org/10.5194/tc-17-519-2023-supplement

Data sets

WRF-Noah/Alpine3D simulations for 2018-2021 snow seasons in Italian Central Apennines E. Raparelli and P. Tuccella https://doi.org/10.5281/zenodo.7591394

Model code and software

WRF2A3D E. Raparelli https://doi.org/10.5281/zenodo.7543614

Short summary

We evaluate the skills of a single-layer (Noah) and a multi-layer (Alpine3D) snow model, forced with the Weather Research and Forecasting model, to reproduce snowpack properties observed in the Italian central Apennines. We found that Alpine3D reproduces the observed snow height and snow water equivalent better than Noah, while no particular model differences emerge on snow cover extent. Finally, we observed that snow settlement is mainly due to densification in Alpine3D and to melting in Noah.