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...
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Copernicus Publications
2023
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Online Access: | https://doi.org/10.5194/tc-17-4315-2023 https://doaj.org/article/62d258f9a64448ac8644d8e9ab6482c9 |
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ftdoajarticles:oai:doaj.org/article:62d258f9a64448ac8644d8e9ab6482c9 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 L. Van Tricht C. M. Paice O. Rybak P. Huybrechts 2023-10-01T00:00:00Z https://doi.org/10.5194/tc-17-4315-2023 https://doaj.org/article/62d258f9a64448ac8644d8e9ab6482c9 EN eng Copernicus Publications https://tc.copernicus.org/articles/17/4315/2023/tc-17-4315-2023.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-17-4315-2023 1994-0416 1994-0424 https://doaj.org/article/62d258f9a64448ac8644d8e9ab6482c9 The Cryosphere, Vol 17, Pp 4315-4323 (2023) Environmental sciences GE1-350 Geology QE1-996.5 article 2023 ftdoajarticles https://doi.org/10.5194/tc-17-4315-2023 2023-10-15T00:37:36Z 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 Directory of Open Access Journals: DOAJ Articles The Cryosphere 17 10 4315 4323 |
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 L. Van Tricht C. M. Paice O. Rybak P. Huybrechts Brief communication: Measuring and modelling the ice thickness of the Grigoriev ice cap (Kyrgyzstan) and comparison with global datasets |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
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 |
L. Van Tricht C. M. Paice O. Rybak P. Huybrechts |
author_facet |
L. Van Tricht C. M. Paice O. Rybak P. Huybrechts |
author_sort |
L. Van Tricht |
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://doaj.org/article/62d258f9a64448ac8644d8e9ab6482c9 |
genre |
Ice cap The Cryosphere |
genre_facet |
Ice cap The Cryosphere |
op_source |
The Cryosphere, Vol 17, Pp 4315-4323 (2023) |
op_relation |
https://tc.copernicus.org/articles/17/4315/2023/tc-17-4315-2023.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-17-4315-2023 1994-0416 1994-0424 https://doaj.org/article/62d258f9a64448ac8644d8e9ab6482c9 |
op_doi |
https://doi.org/10.5194/tc-17-4315-2023 |
container_title |
The Cryosphere |
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17 |
container_issue |
10 |
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4315 |
op_container_end_page |
4323 |
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1782335119314386944 |