Distributed snow and rock temperature modelling in steep rock walls using Alpine3D

In this study we modelled the influence of the spatially and temporally heterogeneous snow cover on the surface energy balance and thus on rock temperatures in two rugged, steep rock walls on the Gemsstock ridge in the central Swiss Alps. The heterogeneous snow depth distribution in the rock walls w...

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Published in:The Cryosphere
Main Authors: A. Haberkorn, N. Wever, M. Hoelzle, M. Phillips, R. Kenner, M. Bavay, M. Lehning
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2017
Subjects:
Online Access:https://doi.org/10.5194/tc-11-585-2017
https://doaj.org/article/8b7d965452404800bfcfc9c237acdc6a
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spelling ftdoajarticles:oai:doaj.org/article:8b7d965452404800bfcfc9c237acdc6a 2023-05-15T18:32:31+02:00 Distributed snow and rock temperature modelling in steep rock walls using Alpine3D A. Haberkorn N. Wever M. Hoelzle M. Phillips R. Kenner M. Bavay M. Lehning 2017-02-01T00:00:00Z https://doi.org/10.5194/tc-11-585-2017 https://doaj.org/article/8b7d965452404800bfcfc9c237acdc6a EN eng Copernicus Publications http://www.the-cryosphere.net/11/585/2017/tc-11-585-2017.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 1994-0416 1994-0424 doi:10.5194/tc-11-585-2017 https://doaj.org/article/8b7d965452404800bfcfc9c237acdc6a The Cryosphere, Vol 11, Iss 1, Pp 585-607 (2017) Environmental sciences GE1-350 Geology QE1-996.5 article 2017 ftdoajarticles https://doi.org/10.5194/tc-11-585-2017 2022-12-31T11:11:22Z In this study we modelled the influence of the spatially and temporally heterogeneous snow cover on the surface energy balance and thus on rock temperatures in two rugged, steep rock walls on the Gemsstock ridge in the central Swiss Alps. The heterogeneous snow depth distribution in the rock walls was introduced to the distributed, process-based energy balance model Alpine3D with a precipitation scaling method based on snow depth data measured by terrestrial laser scanning. The influence of the snow cover on rock temperatures was investigated by comparing a snow-covered model scenario (precipitation input provided by precipitation scaling) with a snow-free (zero precipitation input) one. Model uncertainties are discussed and evaluated at both the point and spatial scales against 22 near-surface rock temperature measurements and high-resolution snow depth data from winter terrestrial laser scans. In the rough rock walls, the heterogeneously distributed snow cover was moderately well reproduced by Alpine3D with mean absolute errors ranging between 0.31 and 0.81 m. However, snow cover duration was reproduced well and, consequently, near-surface rock temperatures were modelled convincingly. Uncertainties in rock temperature modelling were found to be around 1.6 °C. Errors in snow cover modelling and hence in rock temperature simulations are explained by inadequate snow settlement due to linear precipitation scaling, missing lateral heat fluxes in the rock, and by errors caused by interpolation of shortwave radiation, wind and air temperature into the rock walls. Mean annual near-surface rock temperature increases were both measured and modelled in the steep rock walls as a consequence of a thick, long-lasting snow cover. Rock temperatures were 1.3–2.5 °C higher in the shaded and sunny rock walls, while comparing snow-covered to snow-free simulations. This helps to assess the potential error made in ground temperature modelling when neglecting snow in steep bedrock. Article in Journal/Newspaper The Cryosphere Directory of Open Access Journals: DOAJ Articles The Cryosphere 11 1 585 607
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Environmental sciences
GE1-350
Geology
QE1-996.5
spellingShingle Environmental sciences
GE1-350
Geology
QE1-996.5
A. Haberkorn
N. Wever
M. Hoelzle
M. Phillips
R. Kenner
M. Bavay
M. Lehning
Distributed snow and rock temperature modelling in steep rock walls using Alpine3D
topic_facet Environmental sciences
GE1-350
Geology
QE1-996.5
description In this study we modelled the influence of the spatially and temporally heterogeneous snow cover on the surface energy balance and thus on rock temperatures in two rugged, steep rock walls on the Gemsstock ridge in the central Swiss Alps. The heterogeneous snow depth distribution in the rock walls was introduced to the distributed, process-based energy balance model Alpine3D with a precipitation scaling method based on snow depth data measured by terrestrial laser scanning. The influence of the snow cover on rock temperatures was investigated by comparing a snow-covered model scenario (precipitation input provided by precipitation scaling) with a snow-free (zero precipitation input) one. Model uncertainties are discussed and evaluated at both the point and spatial scales against 22 near-surface rock temperature measurements and high-resolution snow depth data from winter terrestrial laser scans. In the rough rock walls, the heterogeneously distributed snow cover was moderately well reproduced by Alpine3D with mean absolute errors ranging between 0.31 and 0.81 m. However, snow cover duration was reproduced well and, consequently, near-surface rock temperatures were modelled convincingly. Uncertainties in rock temperature modelling were found to be around 1.6 °C. Errors in snow cover modelling and hence in rock temperature simulations are explained by inadequate snow settlement due to linear precipitation scaling, missing lateral heat fluxes in the rock, and by errors caused by interpolation of shortwave radiation, wind and air temperature into the rock walls. Mean annual near-surface rock temperature increases were both measured and modelled in the steep rock walls as a consequence of a thick, long-lasting snow cover. Rock temperatures were 1.3–2.5 °C higher in the shaded and sunny rock walls, while comparing snow-covered to snow-free simulations. This helps to assess the potential error made in ground temperature modelling when neglecting snow in steep bedrock.
format Article in Journal/Newspaper
author A. Haberkorn
N. Wever
M. Hoelzle
M. Phillips
R. Kenner
M. Bavay
M. Lehning
author_facet A. Haberkorn
N. Wever
M. Hoelzle
M. Phillips
R. Kenner
M. Bavay
M. Lehning
author_sort A. Haberkorn
title Distributed snow and rock temperature modelling in steep rock walls using Alpine3D
title_short Distributed snow and rock temperature modelling in steep rock walls using Alpine3D
title_full Distributed snow and rock temperature modelling in steep rock walls using Alpine3D
title_fullStr Distributed snow and rock temperature modelling in steep rock walls using Alpine3D
title_full_unstemmed Distributed snow and rock temperature modelling in steep rock walls using Alpine3D
title_sort distributed snow and rock temperature modelling in steep rock walls using alpine3d
publisher Copernicus Publications
publishDate 2017
url https://doi.org/10.5194/tc-11-585-2017
https://doaj.org/article/8b7d965452404800bfcfc9c237acdc6a
genre The Cryosphere
genre_facet The Cryosphere
op_source The Cryosphere, Vol 11, Iss 1, Pp 585-607 (2017)
op_relation http://www.the-cryosphere.net/11/585/2017/tc-11-585-2017.pdf
https://doaj.org/toc/1994-0416
https://doaj.org/toc/1994-0424
1994-0416
1994-0424
doi:10.5194/tc-11-585-2017
https://doaj.org/article/8b7d965452404800bfcfc9c237acdc6a
op_doi https://doi.org/10.5194/tc-11-585-2017
container_title The Cryosphere
container_volume 11
container_issue 1
container_start_page 585
op_container_end_page 607
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