Characteristics of snow structure along Kongsvegen glacier (Svalbard)
Snow cover data in Arctic regions like Svalbard are scarce while interest in distribution, properties and development of Arctic snow is evident (in context of climate change, too). Contributing to that issue this work is based on comprehensive observations of physical snow parameters recorded in sno...
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ftunivinnsbruck:oai:diglib.uibk.ac.at/:2301966 2023-10-01T03:53:42+02:00 Characteristics of snow structure along Kongsvegen glacier (Svalbard) Brakemeier, Maik Innsbruck RM 30375 38.84 UI:GA:MG November 2017 vi, 222 Seiten text/html Illustrationen, Diagramme https://resolver.obvsg.at/urn:nbn:at:at-ubi:1-10631 eng eng vignette : https://diglib.uibk.ac.at/titlepage/urn/urn:nbn:at:at-ubi:1-10631/128 urn:nbn:at:at-ubi:1-10631 https://resolver.obvsg.at/urn:nbn:at:at-ubi:1-10631 local:990144465960203331 system:AC11365876 cc-by_4 Svalbard Arktis Schneedecke Schneehärte Schneedichte Kongsvegen Gletscher Snow Micro Pen Dichteparametrisierungen Ramm Sonde Schichtweise skalieren Korntypen arktisch meteorologische Bedingungen Schneemodell SnowPack physikalische Schneeeigenschaften Arctic snow cover snow hardness snow density Kongsvegen glacier density parametrizations Scaling methods layer-wise depth scaling grain types Arctic meteorological conditions snow model firn aquifer physical snow properties Text Thesis Hochschulschrift MasterThesis 2017 ftunivinnsbruck 2023-09-04T21:39:33Z Snow cover data in Arctic regions like Svalbard are scarce while interest in distribution, properties and development of Arctic snow is evident (in context of climate change, too). Contributing to that issue this work is based on comprehensive observations of physical snow parameters recorded in snow pits and using special instruments, respectively. The data were collected in spring 2011 and at several locations in a height transect along Kongsvegen glacier. Analysis mainly concerns description of gross profile characteristics, the identification and physical understanding of major structures and their spatial and temporal characteristics. Three of them are considered in detail in which context snow hardness data are particularly important. Analysis was supported by data from automatic weather stations operated at the sites of snow investigations. These data also served to drive a numerical snow model. Model output was compared to observations and effectively served development of a process-based interpretation and reconstruction of the history of the investigated key layers. Different depth scaling method were developed to make the snow profiles comparable because snow depth strongly depends on altitude. The layer-wise depth scaling method yielded significant improvements in correlation between neighbouring snow hardness profiles along the glacier and at local scale. Three layers characterized by clear maxima in snow hardness, high density and mostly rounded grain types could thus be traced along the major part of the glacier. Attributions were comparatively uncertain if not impossible in the lower section of the glacier due to the higher temperatures and associated melt influences. Snow profiles were significantly correlated across decameter distances. The evolution history of the selected layers was investigated using relevant model output data. The latter were overall successfully validated by comparison with measured key parameters like snowheight, surface temperature or end-winter vertical profiles. Some ... Master Thesis Arctic Arktis Arktis* Climate change glacier Svalbard University of Innsbruck: Digital Library (Universitäts- und Landesbibliothek Tirol) Arctic Kongsvegen ENVELOPE(12.657,12.657,78.854,78.854) Svalbard |
institution |
Open Polar |
collection |
University of Innsbruck: Digital Library (Universitäts- und Landesbibliothek Tirol) |
op_collection_id |
ftunivinnsbruck |
language |
English |
topic |
Svalbard Arktis Schneedecke Schneehärte Schneedichte Kongsvegen Gletscher Snow Micro Pen Dichteparametrisierungen Ramm Sonde Schichtweise skalieren Korntypen arktisch meteorologische Bedingungen Schneemodell SnowPack physikalische Schneeeigenschaften Arctic snow cover snow hardness snow density Kongsvegen glacier density parametrizations Scaling methods layer-wise depth scaling grain types Arctic meteorological conditions snow model firn aquifer physical snow properties |
spellingShingle |
Svalbard Arktis Schneedecke Schneehärte Schneedichte Kongsvegen Gletscher Snow Micro Pen Dichteparametrisierungen Ramm Sonde Schichtweise skalieren Korntypen arktisch meteorologische Bedingungen Schneemodell SnowPack physikalische Schneeeigenschaften Arctic snow cover snow hardness snow density Kongsvegen glacier density parametrizations Scaling methods layer-wise depth scaling grain types Arctic meteorological conditions snow model firn aquifer physical snow properties Brakemeier, Maik Characteristics of snow structure along Kongsvegen glacier (Svalbard) |
topic_facet |
Svalbard Arktis Schneedecke Schneehärte Schneedichte Kongsvegen Gletscher Snow Micro Pen Dichteparametrisierungen Ramm Sonde Schichtweise skalieren Korntypen arktisch meteorologische Bedingungen Schneemodell SnowPack physikalische Schneeeigenschaften Arctic snow cover snow hardness snow density Kongsvegen glacier density parametrizations Scaling methods layer-wise depth scaling grain types Arctic meteorological conditions snow model firn aquifer physical snow properties |
description |
Snow cover data in Arctic regions like Svalbard are scarce while interest in distribution, properties and development of Arctic snow is evident (in context of climate change, too). Contributing to that issue this work is based on comprehensive observations of physical snow parameters recorded in snow pits and using special instruments, respectively. The data were collected in spring 2011 and at several locations in a height transect along Kongsvegen glacier. Analysis mainly concerns description of gross profile characteristics, the identification and physical understanding of major structures and their spatial and temporal characteristics. Three of them are considered in detail in which context snow hardness data are particularly important. Analysis was supported by data from automatic weather stations operated at the sites of snow investigations. These data also served to drive a numerical snow model. Model output was compared to observations and effectively served development of a process-based interpretation and reconstruction of the history of the investigated key layers. Different depth scaling method were developed to make the snow profiles comparable because snow depth strongly depends on altitude. The layer-wise depth scaling method yielded significant improvements in correlation between neighbouring snow hardness profiles along the glacier and at local scale. Three layers characterized by clear maxima in snow hardness, high density and mostly rounded grain types could thus be traced along the major part of the glacier. Attributions were comparatively uncertain if not impossible in the lower section of the glacier due to the higher temperatures and associated melt influences. Snow profiles were significantly correlated across decameter distances. The evolution history of the selected layers was investigated using relevant model output data. The latter were overall successfully validated by comparison with measured key parameters like snowheight, surface temperature or end-winter vertical profiles. Some ... |
format |
Master Thesis |
author |
Brakemeier, Maik |
author_facet |
Brakemeier, Maik |
author_sort |
Brakemeier, Maik |
title |
Characteristics of snow structure along Kongsvegen glacier (Svalbard) |
title_short |
Characteristics of snow structure along Kongsvegen glacier (Svalbard) |
title_full |
Characteristics of snow structure along Kongsvegen glacier (Svalbard) |
title_fullStr |
Characteristics of snow structure along Kongsvegen glacier (Svalbard) |
title_full_unstemmed |
Characteristics of snow structure along Kongsvegen glacier (Svalbard) |
title_sort |
characteristics of snow structure along kongsvegen glacier (svalbard) |
publishDate |
2017 |
url |
https://resolver.obvsg.at/urn:nbn:at:at-ubi:1-10631 |
op_coverage |
Innsbruck RM 30375 38.84 UI:GA:MG |
long_lat |
ENVELOPE(12.657,12.657,78.854,78.854) |
geographic |
Arctic Kongsvegen Svalbard |
geographic_facet |
Arctic Kongsvegen Svalbard |
genre |
Arctic Arktis Arktis* Climate change glacier Svalbard |
genre_facet |
Arctic Arktis Arktis* Climate change glacier Svalbard |
op_relation |
vignette : https://diglib.uibk.ac.at/titlepage/urn/urn:nbn:at:at-ubi:1-10631/128 urn:nbn:at:at-ubi:1-10631 https://resolver.obvsg.at/urn:nbn:at:at-ubi:1-10631 local:990144465960203331 system:AC11365876 |
op_rights |
cc-by_4 |
_version_ |
1778520501024456704 |