Brief communication: Measuring and modelling the ice thickness of the Grigoriev ice cap (Kyrgyzstan) and comparison with global datasets
An accurate ice thickness distribution is crucial for correct projections of the future state of an ice mass. However, measuring the ice thickness with an in situ system is time-consuming and not scalable. Therefore, models have been developed to estimate the ice thickness without direct measurement...
Published in: | The Cryosphere |
---|---|
Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2023
|
Subjects: | |
Online Access: | https://doi.org/10.5194/tc-17-4315-2023 https://noa.gwlb.de/receive/cop_mods_00069246 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00067636/tc-17-4315-2023.pdf https://tc.copernicus.org/articles/17/4315/2023/tc-17-4315-2023.pdf |
id |
ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00069246 |
---|---|
record_format |
openpolar |
spelling |
ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00069246 2023-11-12T04:18:31+01:00 Brief communication: Measuring and modelling the ice thickness of the Grigoriev ice cap (Kyrgyzstan) and comparison with global datasets Van Tricht, Lander Paice, Chloë Marie Rybak, Oleg Huybrechts, Philippe 2023-10 electronic https://doi.org/10.5194/tc-17-4315-2023 https://noa.gwlb.de/receive/cop_mods_00069246 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00067636/tc-17-4315-2023.pdf https://tc.copernicus.org/articles/17/4315/2023/tc-17-4315-2023.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-17-4315-2023 https://noa.gwlb.de/receive/cop_mods_00069246 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00067636/tc-17-4315-2023.pdf https://tc.copernicus.org/articles/17/4315/2023/tc-17-4315-2023.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2023 ftnonlinearchiv https://doi.org/10.5194/tc-17-4315-2023 2023-10-15T23:22:17Z An accurate ice thickness distribution is crucial for correct projections of the future state of an ice mass. However, measuring the ice thickness with an in situ system is time-consuming and not scalable. Therefore, models have been developed to estimate the ice thickness without direct measurements. In this study, we reconstruct the ice thickness of the Grigoriev ice cap, Kyrgyzstan, from in situ observations and the yield stress method. We compare the results with data from six global ice thickness datasets composed without the use of our local measurements. The results highlight the limitations of these generic datasets primarily stemming from the subdivision of ice caps into distinct glaciers, the adoption of a (calibrated) creep parameter value, assumptions regarding ice mass flux, and errors regarding surface velocity observations. These shortcomings emphasize the importance of integrating local observations to calibrate models to achieve precise representations of ice thickness, particularly when dealing with smaller or slow-flowing cold ice caps, such as the Grigoriev ice cap. Article in Journal/Newspaper Ice cap The Cryosphere Niedersächsisches Online-Archiv NOA The Cryosphere 17 10 4315 4323 |
institution |
Open Polar |
collection |
Niedersächsisches Online-Archiv NOA |
op_collection_id |
ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
spellingShingle |
article Verlagsveröffentlichung Van Tricht, Lander Paice, Chloë Marie Rybak, Oleg Huybrechts, Philippe Brief communication: Measuring and modelling the ice thickness of the Grigoriev ice cap (Kyrgyzstan) and comparison with global datasets |
topic_facet |
article Verlagsveröffentlichung |
description |
An accurate ice thickness distribution is crucial for correct projections of the future state of an ice mass. However, measuring the ice thickness with an in situ system is time-consuming and not scalable. Therefore, models have been developed to estimate the ice thickness without direct measurements. In this study, we reconstruct the ice thickness of the Grigoriev ice cap, Kyrgyzstan, from in situ observations and the yield stress method. We compare the results with data from six global ice thickness datasets composed without the use of our local measurements. The results highlight the limitations of these generic datasets primarily stemming from the subdivision of ice caps into distinct glaciers, the adoption of a (calibrated) creep parameter value, assumptions regarding ice mass flux, and errors regarding surface velocity observations. These shortcomings emphasize the importance of integrating local observations to calibrate models to achieve precise representations of ice thickness, particularly when dealing with smaller or slow-flowing cold ice caps, such as the Grigoriev ice cap. |
format |
Article in Journal/Newspaper |
author |
Van Tricht, Lander Paice, Chloë Marie Rybak, Oleg Huybrechts, Philippe |
author_facet |
Van Tricht, Lander Paice, Chloë Marie Rybak, Oleg Huybrechts, Philippe |
author_sort |
Van Tricht, Lander |
title |
Brief communication: Measuring and modelling the ice thickness of the Grigoriev ice cap (Kyrgyzstan) and comparison with global datasets |
title_short |
Brief communication: Measuring and modelling the ice thickness of the Grigoriev ice cap (Kyrgyzstan) and comparison with global datasets |
title_full |
Brief communication: Measuring and modelling the ice thickness of the Grigoriev ice cap (Kyrgyzstan) and comparison with global datasets |
title_fullStr |
Brief communication: Measuring and modelling the ice thickness of the Grigoriev ice cap (Kyrgyzstan) and comparison with global datasets |
title_full_unstemmed |
Brief communication: Measuring and modelling the ice thickness of the Grigoriev ice cap (Kyrgyzstan) and comparison with global datasets |
title_sort |
brief communication: measuring and modelling the ice thickness of the grigoriev ice cap (kyrgyzstan) and comparison with global datasets |
publisher |
Copernicus Publications |
publishDate |
2023 |
url |
https://doi.org/10.5194/tc-17-4315-2023 https://noa.gwlb.de/receive/cop_mods_00069246 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00067636/tc-17-4315-2023.pdf https://tc.copernicus.org/articles/17/4315/2023/tc-17-4315-2023.pdf |
genre |
Ice cap The Cryosphere |
genre_facet |
Ice cap The Cryosphere |
op_relation |
The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-17-4315-2023 https://noa.gwlb.de/receive/cop_mods_00069246 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00067636/tc-17-4315-2023.pdf https://tc.copernicus.org/articles/17/4315/2023/tc-17-4315-2023.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/tc-17-4315-2023 |
container_title |
The Cryosphere |
container_volume |
17 |
container_issue |
10 |
container_start_page |
4315 |
op_container_end_page |
4323 |
_version_ |
1782335118885519360 |