Articles | Volume 25, issue 4
https://doi.org/10.5194/hess-25-2109-2021
© Author(s) 2021. 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-25-2109-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Apr 2021
Research article |
| 20 Apr 2021
| 20 Apr 2021
Learning about precipitation lapse rates from snow course data improves water balance modeling
Francesco Avanzi
CORRESPONDING AUTHOR
CIMA Research Foundation, Via Armando Magliotto 2, 17100 Savona, Italy
Giulia Ercolani
CIMA Research Foundation, Via Armando Magliotto 2, 17100 Savona, Italy
Simone Gabellani
CIMA Research Foundation, Via Armando Magliotto 2, 17100 Savona, Italy
Edoardo Cremonese
Climate Change Unit, Environmental Protection Agency of Aosta Valley, Loc. La Maladière, 48-11020 Saint-Christophe, Italy
Paolo Pogliotti
Climate Change Unit, Environmental Protection Agency of Aosta Valley, Loc. La Maladière, 48-11020 Saint-Christophe, Italy
Gianluca Filippa
Climate Change Unit, Environmental Protection Agency of Aosta Valley, Loc. La Maladière, 48-11020 Saint-Christophe, Italy
Umberto Morra di Cella
Climate Change Unit, Environmental Protection Agency of Aosta Valley, Loc. La Maladière, 48-11020 Saint-Christophe, Italy
CIMA Research Foundation, Via Armando Magliotto 2, 17100 Savona, Italy
Sara Ratto
Regione Autonoma Valle d'Aosta, Centro funzionale regionale, Via Promis 2/a, 11100 Aosta, Italy
Hervè Stevenin
Regione Autonoma Valle d'Aosta, Centro funzionale regionale, Via Promis 2/a, 11100 Aosta, Italy
Marco Cauduro
Direzione Operativa, C.V.A. S.p.A., Via Stazione 31, 11024 Châtillon, Italy
Stefano Juglair
Direzione Operativa, C.V.A. S.p.A., Via Stazione 31, 11024 Châtillon, Italy
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Cited
18 citations as recorded by crossref.
- Evaluation of winter snow properties effects on spring soil moisture using satellite images in the Northwest of Iran M. Goodarzi et al. 10.1007/s11600-023-01177-3
- Modelling glacier mass balance and climate sensitivity in the context of sparse observations: application to Saskatchewan Glacier, western Canada C. Kinnard et al. 10.5194/tc-16-3071-2022
- Drivers of drought-induced shifts in the water balance through a Budyko approach T. Maurer et al. 10.5194/hess-26-589-2022
- Orographic amplification of El Niño teleconnections on winter precipitation across the Intermountain West of North America J. Stagge et al. 10.1038/s44221-023-00163-9
- Quality Control Impacts on Total Precipitation Gauge Records for Montane Valley and Ridge Sites in SW Alberta, Canada C. Barnes & C. Hopkinson 10.3390/data7060073
- A random forest approach to quality-checking automatic snow-depth sensor measurements G. Blandini et al. 10.5194/tc-17-5317-2023
- 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
- High-resolution satellite products improve hydrological modeling in northern Italy L. Alfieri et al. 10.5194/hess-26-3921-2022
- 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
- Suitability of ERA5-Land reanalysis dataset for hydrological modelling in the Alpine region D. Dalla Torre et al. 10.1016/j.ejrh.2024.101718
- Mapping snow density through thermal inertia observations R. Colombo et al. 10.1016/j.rse.2022.113323
- Weekly Monitoring and Forecasting of Hydropower Production Coupling Meteo-Hydrological Modeling with Ground and Satellite Data in the Italian Alps C. Corbari et al. 10.3390/hydrology9020029
- Improving snow water equivalent simulations in an alpine basin by blending precipitation gauge and snow pillow measurements N. Pelak et al. 10.1002/hyp.14796
- Impact of distributed meteorological forcing on simulated snow cover and hydrological fluxes over a mid-elevation alpine micro-scale catchment A. Gupta et al. 10.5194/hess-27-191-2023
- How well does a convection-permitting regional climate model represent the reverse orographic effect of extreme hourly precipitation? E. Dallan et al. 10.5194/hess-27-1133-2023
- Performing Hydrological Monitoring at a National Scale by Exploiting Rain-Gauge and Radar Networks: The Italian Case G. Bruno et al. 10.3390/atmos12060771
- Differential orographic impact on sub-hourly, hourly, and daily extreme precipitation G. Formetta et al. 10.1016/j.advwatres.2021.104085
- Precipitation Estimates and Orographic Gradients Using Snow, Temperature, and Humidity Measurements From a Wireless‐Sensor Network G. Cui et al. 10.1029/2021WR029954
18 citations as recorded by crossref.
- Evaluation of winter snow properties effects on spring soil moisture using satellite images in the Northwest of Iran M. Goodarzi et al. 10.1007/s11600-023-01177-3
- Modelling glacier mass balance and climate sensitivity in the context of sparse observations: application to Saskatchewan Glacier, western Canada C. Kinnard et al. 10.5194/tc-16-3071-2022
- Drivers of drought-induced shifts in the water balance through a Budyko approach T. Maurer et al. 10.5194/hess-26-589-2022
- Orographic amplification of El Niño teleconnections on winter precipitation across the Intermountain West of North America J. Stagge et al. 10.1038/s44221-023-00163-9
- Quality Control Impacts on Total Precipitation Gauge Records for Montane Valley and Ridge Sites in SW Alberta, Canada C. Barnes & C. Hopkinson 10.3390/data7060073
- A random forest approach to quality-checking automatic snow-depth sensor measurements G. Blandini et al. 10.5194/tc-17-5317-2023
- 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
- High-resolution satellite products improve hydrological modeling in northern Italy L. Alfieri et al. 10.5194/hess-26-3921-2022
- 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
- Suitability of ERA5-Land reanalysis dataset for hydrological modelling in the Alpine region D. Dalla Torre et al. 10.1016/j.ejrh.2024.101718
- Mapping snow density through thermal inertia observations R. Colombo et al. 10.1016/j.rse.2022.113323
- Weekly Monitoring and Forecasting of Hydropower Production Coupling Meteo-Hydrological Modeling with Ground and Satellite Data in the Italian Alps C. Corbari et al. 10.3390/hydrology9020029
- Improving snow water equivalent simulations in an alpine basin by blending precipitation gauge and snow pillow measurements N. Pelak et al. 10.1002/hyp.14796
- Impact of distributed meteorological forcing on simulated snow cover and hydrological fluxes over a mid-elevation alpine micro-scale catchment A. Gupta et al. 10.5194/hess-27-191-2023
- How well does a convection-permitting regional climate model represent the reverse orographic effect of extreme hourly precipitation? E. Dallan et al. 10.5194/hess-27-1133-2023
- Performing Hydrological Monitoring at a National Scale by Exploiting Rain-Gauge and Radar Networks: The Italian Case G. Bruno et al. 10.3390/atmos12060771
- Differential orographic impact on sub-hourly, hourly, and daily extreme precipitation G. Formetta et al. 10.1016/j.advwatres.2021.104085
- Precipitation Estimates and Orographic Gradients Using Snow, Temperature, and Humidity Measurements From a Wireless‐Sensor Network G. Cui et al. 10.1029/2021WR029954
Latest update: 25 Apr 2024
Short summary
Precipitation tends to increase with elevation, but the magnitude and distribution of this enhancement remain poorly understood. By leveraging over 11 000 spatially distributed, manual measurements of snow depth (snow courses) upstream of two reservoirs in the western European Alps, we show that these courses bear a characteristic signature of orographic precipitation. This opens a window of opportunity for improved modeling accuracy and, ultimately, our understanding of the water budget.
Precipitation tends to increase with elevation, but the magnitude and distribution of this...
