Snow-model parameter identifiability across space and time.

Giulia Blandini; Francesco Avanzi; Simone Gabellani; Lorenzo Campo; Giulia Ercolani; Edoardo Cremonese; Marta Galvagno; Umberto Morra di Cella; Satoru Yamaguchi; HIroyuki Hirashima; Luca Ferraris

doi:https://doi.org/10.5194/egusphere-egu24-945

[Back] [Session CR6.2]

EGU24-945, updated on 05 Mar 2025

https://doi.org/10.5194/egusphere-egu24-945

EGU General Assembly 2024

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Snow-model parameter identifiability across space and time.

Giulia Blandini

¹, Francesco Avanzi

², Simone Gabellani², Lorenzo Campo

², Giulia Ercolani², Edoardo Cremonese², Marta Galvagno

³, Umberto Morra di Cella², Satoru Yamaguchi

⁴, HIroyuki Hirashima⁴, and Luca Ferraris^1,2

Giulia Blandini et al.

¹University of Genoa, DIBRIS, Genova, Italy (giulia.blandini@cimafoundation.org)
²CIMA Research Foundation, Savona,Italy
³Environmental Protection Agency of Aosta Valley, Aosta, Italy
⁴Snow and Ice Research Center, National Research Institute for Earth Science and Disaster Resilience, Nagaoka, Japan

How to cite: Blandini, G., Avanzi, F., Gabellani, S., Campo, L., Ercolani, G., Cremonese, E., Galvagno, M., Morra di Cella, U., Yamaguchi, S., Hirashima, H., and Ferraris, L.: Snow-model parameter identifiability across space and time., EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-945, https://doi.org/10.5194/egusphere-egu24-945, 2024.

This abstract has been withdrawn on 13 Mar 2024.