Multi-scale snowdrift-permitting modelling of mountain snowpack
International audience Abstract. The interaction of mountain terrain with meteorological processes causes substantial temporal and spatial variability in snow accumulation and ablation. Processes impacted by complex terrain include large-scale orographic enhancement of snowfall, small-scale processe...
Published in: | The Cryosphere |
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Main Authors: | , , , , , , , |
Other Authors: | , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2021
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Subjects: | |
Online Access: | https://hal.science/hal-03237350 https://hal.science/hal-03237350/document https://hal.science/hal-03237350/file/tc-15-743-2021.pdf https://doi.org/10.5194/tc-15-743-2021 |
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ftunivnantes:oai:HAL:hal-03237350v1 |
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Open Polar |
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Université de Nantes: HAL-UNIV-NANTES |
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ftunivnantes |
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English |
topic |
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment |
spellingShingle |
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment Vionnet, Vincent Marsh, Christopher Menounos, Brian Gascoin, Simon Wayand, Nicholas Shea, Joseph Mukherjee, Kriti Pomeroy, John Multi-scale snowdrift-permitting modelling of mountain snowpack |
topic_facet |
[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment |
description |
International audience Abstract. The interaction of mountain terrain with meteorological processes causes substantial temporal and spatial variability in snow accumulation and ablation. Processes impacted by complex terrain include large-scale orographic enhancement of snowfall, small-scale processes such as gravitational and wind-induced transport of snow, and variability in the radiative balance such as through terrain shadowing. In this study, a multi-scale modelling approach is proposed to simulate the temporal and spatial evolution of high-mountain snowpacks. The multi-scale approach combines atmospheric data from a numerical weather prediction system at the kilometre scale with process-based downscaling techniques to drive the Canadian Hydrological Model (CHM) at spatial resolutions allowing for explicit snow redistribution modelling. CHM permits a variable spatial resolution by using the efficient terrain representation by unstructured triangular meshes. The model simulates processes such as radiation shadowing and irradiance to slopes, blowing-snow transport (saltation and suspension) and sublimation, avalanching, forest canopy interception and sublimation, and snowpack melt. Short-term, kilometre-scale atmospheric forecasts from Environment and Climate Change Canada's Global Environmental Multiscale Model through its High Resolution Deterministic Prediction System (HRDPS) drive CHM and are downscaled to the unstructured mesh scale. In particular, a new wind-downscaling strategy uses pre-computed wind fields from a mass-conserving wind model at 50 m resolution to perturb the mesoscale HRDPS wind and to account for the influence of topographic features on wind direction and speed. HRDPS-CHM was applied to simulate snow conditions down to 50 m resolution during winter 2017/2018 in a domain around the Kananaskis Valley (∼1000 km2) in the Canadian Rockies. Simulations were evaluated using high-resolution airborne light detection and ranging (lidar) snow depth data and snow persistence indexes derived from ... |
author2 |
University of Saskatchewan Saskatoon (U of S) Environment and Climate Change Canada University of Northern British Columbia Prince George (UNBC) Centre d'études spatiales de la biosphère (CESBIO) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) |
format |
Article in Journal/Newspaper |
author |
Vionnet, Vincent Marsh, Christopher Menounos, Brian Gascoin, Simon Wayand, Nicholas Shea, Joseph Mukherjee, Kriti Pomeroy, John |
author_facet |
Vionnet, Vincent Marsh, Christopher Menounos, Brian Gascoin, Simon Wayand, Nicholas Shea, Joseph Mukherjee, Kriti Pomeroy, John |
author_sort |
Vionnet, Vincent |
title |
Multi-scale snowdrift-permitting modelling of mountain snowpack |
title_short |
Multi-scale snowdrift-permitting modelling of mountain snowpack |
title_full |
Multi-scale snowdrift-permitting modelling of mountain snowpack |
title_fullStr |
Multi-scale snowdrift-permitting modelling of mountain snowpack |
title_full_unstemmed |
Multi-scale snowdrift-permitting modelling of mountain snowpack |
title_sort |
multi-scale snowdrift-permitting modelling of mountain snowpack |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://hal.science/hal-03237350 https://hal.science/hal-03237350/document https://hal.science/hal-03237350/file/tc-15-743-2021.pdf https://doi.org/10.5194/tc-15-743-2021 |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_source |
ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-03237350 The Cryosphere, 2021, 15 (2), pp.743-769. ⟨10.5194/tc-15-743-2021⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-15-743-2021 hal-03237350 https://hal.science/hal-03237350 https://hal.science/hal-03237350/document https://hal.science/hal-03237350/file/tc-15-743-2021.pdf doi:10.5194/tc-15-743-2021 WOS: 000620899500001 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/tc-15-743-2021 |
container_title |
The Cryosphere |
container_volume |
15 |
container_issue |
2 |
container_start_page |
743 |
op_container_end_page |
769 |
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1766216300535742464 |
spelling |
ftunivnantes:oai:HAL:hal-03237350v1 2023-05-15T18:32:13+02:00 Multi-scale snowdrift-permitting modelling of mountain snowpack Vionnet, Vincent Marsh, Christopher Menounos, Brian Gascoin, Simon Wayand, Nicholas Shea, Joseph Mukherjee, Kriti Pomeroy, John University of Saskatchewan Saskatoon (U of S) Environment and Climate Change Canada University of Northern British Columbia Prince George (UNBC) Centre d'études spatiales de la biosphère (CESBIO) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) 2021 https://hal.science/hal-03237350 https://hal.science/hal-03237350/document https://hal.science/hal-03237350/file/tc-15-743-2021.pdf https://doi.org/10.5194/tc-15-743-2021 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-15-743-2021 hal-03237350 https://hal.science/hal-03237350 https://hal.science/hal-03237350/document https://hal.science/hal-03237350/file/tc-15-743-2021.pdf doi:10.5194/tc-15-743-2021 WOS: 000620899500001 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-03237350 The Cryosphere, 2021, 15 (2), pp.743-769. ⟨10.5194/tc-15-743-2021⟩ [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment info:eu-repo/semantics/article Journal articles 2021 ftunivnantes https://doi.org/10.5194/tc-15-743-2021 2023-03-08T03:00:47Z International audience Abstract. The interaction of mountain terrain with meteorological processes causes substantial temporal and spatial variability in snow accumulation and ablation. Processes impacted by complex terrain include large-scale orographic enhancement of snowfall, small-scale processes such as gravitational and wind-induced transport of snow, and variability in the radiative balance such as through terrain shadowing. In this study, a multi-scale modelling approach is proposed to simulate the temporal and spatial evolution of high-mountain snowpacks. The multi-scale approach combines atmospheric data from a numerical weather prediction system at the kilometre scale with process-based downscaling techniques to drive the Canadian Hydrological Model (CHM) at spatial resolutions allowing for explicit snow redistribution modelling. CHM permits a variable spatial resolution by using the efficient terrain representation by unstructured triangular meshes. The model simulates processes such as radiation shadowing and irradiance to slopes, blowing-snow transport (saltation and suspension) and sublimation, avalanching, forest canopy interception and sublimation, and snowpack melt. Short-term, kilometre-scale atmospheric forecasts from Environment and Climate Change Canada's Global Environmental Multiscale Model through its High Resolution Deterministic Prediction System (HRDPS) drive CHM and are downscaled to the unstructured mesh scale. In particular, a new wind-downscaling strategy uses pre-computed wind fields from a mass-conserving wind model at 50 m resolution to perturb the mesoscale HRDPS wind and to account for the influence of topographic features on wind direction and speed. HRDPS-CHM was applied to simulate snow conditions down to 50 m resolution during winter 2017/2018 in a domain around the Kananaskis Valley (∼1000 km2) in the Canadian Rockies. Simulations were evaluated using high-resolution airborne light detection and ranging (lidar) snow depth data and snow persistence indexes derived from ... Article in Journal/Newspaper The Cryosphere Université de Nantes: HAL-UNIV-NANTES The Cryosphere 15 2 743 769 |