Articles | Volume 24, issue 8
https://doi.org/10.5194/hess-24-4061-2020
© Author(s) 2020. 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-24-4061-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
21 Aug 2020
Research article |
| 21 Aug 2020
| 21 Aug 2020
Sensitivity of snow models to the accuracy of meteorological forcings in mountain environments
Institute of Atmospheric Sciences and Climate, National Research Council, Turin, Italy
Valentina Andreoli
Department of Physics and Natrisk center, University of Torino, Turin, Italy
Gabriele Arduini
European Centre for Medium-Range Weather Forecasts, Reading, UK
Gianpaolo Balsamo
European Centre for Medium-Range Weather Forecasts, Reading, UK
Lorenzo Campo
CIMA Research Foundation – International Centre on Environmental Monitoring, Savona, Italy
Claudio Cassardo
Department of Physics and Natrisk center, University of Torino, Turin, Italy
Edoardo Cremonese
Environmental Protection Agency of Aosta Valley, Aosta, Italy
Daniele Dolia
CIMA Research Foundation – International Centre on Environmental Monitoring, Savona, Italy
Simone Gabellani
CIMA Research Foundation – International Centre on Environmental Monitoring, Savona, 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
Umberto Morra di Cella
Environmental Protection Agency of Aosta Valley, Aosta, Italy
Elisa Palazzi
Institute of Atmospheric Sciences and Climate, National Research Council, Turin, Italy
Gaia Piazzi
CIMA Research Foundation – International Centre on Environmental Monitoring, Savona, Italy
IRSTEA, Hydrology Research Group, UR HYCAR, 92761 Antony, France
Paolo Pogliotti
Environmental Protection Agency of Aosta Valley, Aosta, Italy
Antonello Provenzale
Institute of geosciences and earth resources, National Research Council, Pisa, Italy
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- Variation of Snow Mass in a Regional Climate Model Downscaling Simulation Covering the Tianshan Mountains, Central Asia T. Yang et al. 10.1029/2020JD034183
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32 citations as recorded by crossref.
- Scale Dependence of Errors in Snow Water Equivalent Simulations Using ERA5 Reanalysis over Alpine Basins S. Shrestha et al. 10.3390/cli11070154
- Impact of forcing data and land surface properties on snow simulation in a regional climate model: a case study over the Tianshan Mountains, Central Asia Q. Li et al. 10.1007/s11629-020-6621-2
- Snow sensitivity to temperature and precipitation change during compound cold–hot and wet–dry seasons in the Pyrenees J. Bonsoms et al. 10.5194/tc-17-1307-2023
- Assessment of snow simulation using Noah-MP land surface model forced by various precipitation sources in the Central Tianshan Mountains, Central Asia T. Yang et al. 10.1016/j.atmosres.2024.107251
- Snow Multidata Mapping and Modeling (S3M) 5.1: a distributed cryospheric model with dry and wet snow, data assimilation, glacier mass balance, and debris-driven melt F. Avanzi et al. 10.5194/gmd-15-4853-2022
- The Challenges of Simulating SWE Beneath Forest Canopies are Reduced by Data Assimilation of Snow Depth E. Smyth et al. 10.1029/2021WR030563
- 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
- A comparison of hydrological models with different level of complexity in Alpine regions in the context of climate change F. Carletti et al. 10.5194/hess-26-3447-2022
- Multi-decadal analysis of past winter temperature, precipitation and snow cover data in the European Alps from reanalyses, climate models and observational datasets D. Monteiro & S. Morin 10.5194/tc-17-3617-2023
- Parameterizations of Snow Cover, Snow Albedo and Snow Density in Land Surface Models: A Comparative Review W. Lee et al. 10.1007/s13143-023-00344-2
- Improving snow simulation with more realistic vegetation parameters in a regional climate model in the Tianshan Mountains, Central Asia T. Yang et al. 10.1016/j.jhydrol.2020.125525
- ECLand: The ECMWF Land Surface Modelling System S. Boussetta et al. 10.3390/atmos12060723
- Impact of Snowpack on the Land Surface Phenology in the Tianshan Mountains, Central Asia T. Yang et al. 10.3390/rs14143462
- Seasonal forecasting of snow resources at Alpine sites S. Terzago et al. 10.5194/hess-27-519-2023
- Characterisation and Field Test of a Simple AvaSpec Array Spectroradiometer for Solar Irradiance Measurements at an Alpine Site O. Pisani et al. 10.3390/en16072998
- Evolution of spatiotemporal variations in snow in the Tianshan Mountains and Pamir, Central Asia: An investigation by historical and projected dynamic downscaling simulations Q. Li et al. 10.1016/j.jhydrol.2025.132994
- Exploring Short-Term Climate Change Effects on Rangelands and Broad-Leaved Forests by Free Satellite Data in Aosta Valley (Northwest Italy) T. Orusa & E. Borgogno Mondino 10.3390/cli9030047
- Review of bias correction methods for climate model outputs in hydrology A. Menapace et al. 10.1016/j.jhydrol.2025.133213
- High-resolution satellite products improve hydrological modeling in northern Italy L. Alfieri et al. 10.5194/hess-26-3921-2022
- A Review of the Hydrologic Response Mechanisms During Mountain Rain-on-Snow W. Brandt et al. 10.3389/feart.2022.791760
- Spatio-Temporal Variation Characteristics of Snow Depth and Snow Cover Days over the Tibetan Plateau C. Zhang et al. 10.3390/w13030307
- GEMS v1.0: Generalizable Empirical Model of Snow Accumulation and Melt, based on daily snow mass changes in response to climate and topographic drivers A. Umirbekov et al. 10.5194/gmd-17-911-2024
- Estimating evapotranspiration in mountainous water-limited regions from thermal infrared data: Comparison of two approaches based on energy balance and evaporative fraction B. Sebbar et al. 10.1016/j.rse.2024.114481
- Assimilation of blended in situ-satellite snow water equivalent into the National Water Model for improving hydrologic simulation in two US river basins Y. Gan et al. 10.1016/j.scitotenv.2022.156567
- Assimilation of airborne gamma observations provides utility for snow estimation in forested environments E. Cho et al. 10.5194/hess-27-4039-2023
- Isolating forest process effects on modelled snowpack density and snow water equivalent H. Bonner et al. 10.1002/hyp.14475
- Quantitative assessment of the parameterization sensitivity of the WRF/Noah-MP model of snow dynamics in the Tianshan Mountains, Central Asia Q. Li et al. 10.1016/j.atmosres.2022.106310
- The effect of hydrological model structure on spring flow forecasts when assimilating a distributed snow product S. Farhoodi et al. 10.1080/07011784.2024.2434517
- Variation of Snow Mass in a Regional Climate Model Downscaling Simulation Covering the Tianshan Mountains, Central Asia T. Yang et al. 10.1029/2020JD034183
- Trends and spatial variations of rain-on-snow events over the High Mountain Asia T. Yang et al. 10.1016/j.jhydrol.2022.128593
- Improving climate model skill over High Mountain Asia by adapting snow cover parameterization to complex-topography areas M. Lalande et al. 10.5194/tc-17-5095-2023
- A Preliminary Fuzzy Inference System for Predicting Atmospheric Ozone in an Intermountain Basin J. Lawson & S. Lyman 10.3390/air2030020
Latest update: 08 Jul 2025
Short summary
In mountain areas high-quality meteorological data to drive snow models are rarely available, so coarse-resolution data from spatial interpolation of the available in situ measurements or reanalyses are typically employed. We perform 12 experiments using six snow models with different degrees of complexity to show the impact of the accuracy of the forcing on snow depth and snow water equivalent simulations at the Alpine site of Torgnon, discussing the results in relation to the model complexity.
In mountain areas high-quality meteorological data to drive snow models are rarely available, so...
