Evaluation of the physical snowpack model under arctic conditions : an applicability study for the area around Longyearbyen, Svalbard

As a basis for potential future applications of physical snowpack models in the area around the arctic town of Longyearbyen on Svalbard this work performs an inves- tigation of the main external input parameters determining the simulation output of the SNOWPACK model in this arctic environment. The...

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Main Author: Hatvan, Veronika
Format: Master Thesis
Language:English
Published: 2019
Subjects:
Online Access:https://resolver.obvsg.at/urn:nbn:at:at-ubi:1-40418
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spelling ftunivinnsbruck:oai:diglib.uibk.ac.at/:3584652 2023-10-01T03:53:48+02:00 Evaluation of the physical snowpack model under arctic conditions : an applicability study for the area around Longyearbyen, Svalbard Hatvan, Veronika Innsbruck 38.84 UI:GA:MG May 2019 vi, 100 Seiten text/html Diagramme, Karten https://resolver.obvsg.at/urn:nbn:at:at-ubi:1-40418 eng eng vignette : https://diglib.uibk.ac.at/titlepage/urn/urn:nbn:at:at-ubi:1-40418/128 urn:nbn:at:at-ubi:1-40418 https://resolver.obvsg.at/urn:nbn:at:at-ubi:1-40418 local:99144956168603331 system:AC15386275 cc-by_4 Schnee Schneedeckenmodellierung Svalbard Text Thesis Hochschulschrift MasterThesis 2019 ftunivinnsbruck 2023-09-04T22:15:02Z As a basis for potential future applications of physical snowpack models in the area around the arctic town of Longyearbyen on Svalbard this work performs an inves- tigation of the main external input parameters determining the simulation output of the SNOWPACK model in this arctic environment. The investigation provides a first assessment of the model capacities to reproduce observed snowpack structure, based on currently limited meteorological input data. For this purpose an obser- vational dataset of eleven manual snowpack investigations was collected in March 2017 and utilised as a benchmark for model output. Meteorological input data was provided by two automatic weather stations in the area, complemented by ERA5 reanalysis data. A sensitivity study of the model output was performed with regard to systematic and random errors in the input data, including the parameters: air temperature, relative humidity, wind speed, incoming longwave radiation, incoming shortwave radiation, precipitation and ground surface temperature. Later, the results of the sensitivity study were used in a series of modelling attempts to reproduce observed snow cover characteristics in the area. Air temperature and precipitation were identified as the most relevant parameters influencing model output in terms of snow height, snow temperatures and stratig- raphy on the basis of the sensitivity analysis. Additionally, the relevance of wind speed became evident while attempting to reproduce observed patterns in the snow. However, the effect of wind on the spatial variability of snow height as a local feature could not be sufficiently represented by the model in its applied setup when pro- vided with non-local input data. Overall, the limited meteorological input data did not provide a sufficient basis and enough local details for the model to successfully reproduce the observed snow cover features at various observation sites. Future application of snowpack models in the area of Longyearbyen will depend on the availability of a full set ... Master Thesis Arctic Longyearbyen Svalbard University of Innsbruck: Digital Library (Universitäts- und Landesbibliothek Tirol) Arctic Longyearbyen Svalbard
institution Open Polar
collection University of Innsbruck: Digital Library (Universitäts- und Landesbibliothek Tirol)
op_collection_id ftunivinnsbruck
language English
topic Schnee
Schneedeckenmodellierung
Svalbard
spellingShingle Schnee
Schneedeckenmodellierung
Svalbard
Hatvan, Veronika
Evaluation of the physical snowpack model under arctic conditions : an applicability study for the area around Longyearbyen, Svalbard
topic_facet Schnee
Schneedeckenmodellierung
Svalbard
description As a basis for potential future applications of physical snowpack models in the area around the arctic town of Longyearbyen on Svalbard this work performs an inves- tigation of the main external input parameters determining the simulation output of the SNOWPACK model in this arctic environment. The investigation provides a first assessment of the model capacities to reproduce observed snowpack structure, based on currently limited meteorological input data. For this purpose an obser- vational dataset of eleven manual snowpack investigations was collected in March 2017 and utilised as a benchmark for model output. Meteorological input data was provided by two automatic weather stations in the area, complemented by ERA5 reanalysis data. A sensitivity study of the model output was performed with regard to systematic and random errors in the input data, including the parameters: air temperature, relative humidity, wind speed, incoming longwave radiation, incoming shortwave radiation, precipitation and ground surface temperature. Later, the results of the sensitivity study were used in a series of modelling attempts to reproduce observed snow cover characteristics in the area. Air temperature and precipitation were identified as the most relevant parameters influencing model output in terms of snow height, snow temperatures and stratig- raphy on the basis of the sensitivity analysis. Additionally, the relevance of wind speed became evident while attempting to reproduce observed patterns in the snow. However, the effect of wind on the spatial variability of snow height as a local feature could not be sufficiently represented by the model in its applied setup when pro- vided with non-local input data. Overall, the limited meteorological input data did not provide a sufficient basis and enough local details for the model to successfully reproduce the observed snow cover features at various observation sites. Future application of snowpack models in the area of Longyearbyen will depend on the availability of a full set ...
format Master Thesis
author Hatvan, Veronika
author_facet Hatvan, Veronika
author_sort Hatvan, Veronika
title Evaluation of the physical snowpack model under arctic conditions : an applicability study for the area around Longyearbyen, Svalbard
title_short Evaluation of the physical snowpack model under arctic conditions : an applicability study for the area around Longyearbyen, Svalbard
title_full Evaluation of the physical snowpack model under arctic conditions : an applicability study for the area around Longyearbyen, Svalbard
title_fullStr Evaluation of the physical snowpack model under arctic conditions : an applicability study for the area around Longyearbyen, Svalbard
title_full_unstemmed Evaluation of the physical snowpack model under arctic conditions : an applicability study for the area around Longyearbyen, Svalbard
title_sort evaluation of the physical snowpack model under arctic conditions : an applicability study for the area around longyearbyen, svalbard
publishDate 2019
url https://resolver.obvsg.at/urn:nbn:at:at-ubi:1-40418
op_coverage Innsbruck
38.84
UI:GA:MG
geographic Arctic
Longyearbyen
Svalbard
geographic_facet Arctic
Longyearbyen
Svalbard
genre Arctic
Longyearbyen
Svalbard
genre_facet Arctic
Longyearbyen
Svalbard
op_relation vignette : https://diglib.uibk.ac.at/titlepage/urn/urn:nbn:at:at-ubi:1-40418/128
urn:nbn:at:at-ubi:1-40418
https://resolver.obvsg.at/urn:nbn:at:at-ubi:1-40418
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system:AC15386275
op_rights cc-by_4
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