Evaluation of Arctic Sea Ice Thickness from a Parameter-Optimized Arctic Sea Ice–Ocean Model
Sea ice thickness (SIT) presents comprehensive information on Arctic sea ice changes and their role in the climate system. However, our understanding of SIT is limited by a scarcity of observations and inaccurate model simulations. Based on simultaneous parameter optimization with a micro genetic al...
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Online Access: | https://doi.org/10.3390/rs15102537 https://doaj.org/article/f84dae2db4cf46f1a4b2ae20c9c6841f |
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ftdoajarticles:oai:doaj.org/article:f84dae2db4cf46f1a4b2ae20c9c6841f 2023-06-11T04:08:02+02:00 Evaluation of Arctic Sea Ice Thickness from a Parameter-Optimized Arctic Sea Ice–Ocean Model Qiaoqiao Zhang Hao Luo Chao Min Yongwu Xiu Qian Shi Qinghua Yang 2023-05-01T00:00:00Z https://doi.org/10.3390/rs15102537 https://doaj.org/article/f84dae2db4cf46f1a4b2ae20c9c6841f EN eng MDPI AG https://www.mdpi.com/2072-4292/15/10/2537 https://doaj.org/toc/2072-4292 doi:10.3390/rs15102537 2072-4292 https://doaj.org/article/f84dae2db4cf46f1a4b2ae20c9c6841f Remote Sensing, Vol 15, Iss 2537, p 2537 (2023) sea ice thickness Arctic model parameter optimization NAOSIM CS2SMOS Science Q article 2023 ftdoajarticles https://doi.org/10.3390/rs15102537 2023-05-28T00:33:02Z Sea ice thickness (SIT) presents comprehensive information on Arctic sea ice changes and their role in the climate system. However, our understanding of SIT is limited by a scarcity of observations and inaccurate model simulations. Based on simultaneous parameter optimization with a micro genetic algorithm, the North Atlantic/Arctic Ocean–Sea Ice Model (NAOSIM) has already demonstrated advantages in Arctic sea ice simulations. However, its performance in simulating pan-Arctic SITs remains unclear. In this study, a further evaluation of Arctic SITs from NAOSIM was conducted based on a comparison with satellite and in situ observations. Generally, NAOSIM can reproduce the annual cycle and downward trend in the sea ice volume. However, deficiencies can still be found in the simulation of SIT spatial patterns. NAOSIM overestimates the SIT of thinner ice (<1.5 m) in the Beaufort Sea, underestimates the SIT of thick ice (>1.5 m) in the central Arctic and is unable to capture the upward trend in the SIT in the north of the Canadian Archipelago as well as to reproduce the intensity of the observed SIT variability. In terms of SIT simulation, NAOSIM performs better as the time approaches the optimization window (2000–2012). Therefore, in the context of rapid changes in Arctic sea ice, how to optimize this model based on limited observations still remains a challenge. Article in Journal/Newspaper Arctic Arctic Ocean Atlantic Arctic Atlantic-Arctic Beaufort Sea Canadian Archipelago North Atlantic Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Remote Sensing 15 10 2537 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
sea ice thickness Arctic model parameter optimization NAOSIM CS2SMOS Science Q |
spellingShingle |
sea ice thickness Arctic model parameter optimization NAOSIM CS2SMOS Science Q Qiaoqiao Zhang Hao Luo Chao Min Yongwu Xiu Qian Shi Qinghua Yang Evaluation of Arctic Sea Ice Thickness from a Parameter-Optimized Arctic Sea Ice–Ocean Model |
topic_facet |
sea ice thickness Arctic model parameter optimization NAOSIM CS2SMOS Science Q |
description |
Sea ice thickness (SIT) presents comprehensive information on Arctic sea ice changes and their role in the climate system. However, our understanding of SIT is limited by a scarcity of observations and inaccurate model simulations. Based on simultaneous parameter optimization with a micro genetic algorithm, the North Atlantic/Arctic Ocean–Sea Ice Model (NAOSIM) has already demonstrated advantages in Arctic sea ice simulations. However, its performance in simulating pan-Arctic SITs remains unclear. In this study, a further evaluation of Arctic SITs from NAOSIM was conducted based on a comparison with satellite and in situ observations. Generally, NAOSIM can reproduce the annual cycle and downward trend in the sea ice volume. However, deficiencies can still be found in the simulation of SIT spatial patterns. NAOSIM overestimates the SIT of thinner ice (<1.5 m) in the Beaufort Sea, underestimates the SIT of thick ice (>1.5 m) in the central Arctic and is unable to capture the upward trend in the SIT in the north of the Canadian Archipelago as well as to reproduce the intensity of the observed SIT variability. In terms of SIT simulation, NAOSIM performs better as the time approaches the optimization window (2000–2012). Therefore, in the context of rapid changes in Arctic sea ice, how to optimize this model based on limited observations still remains a challenge. |
format |
Article in Journal/Newspaper |
author |
Qiaoqiao Zhang Hao Luo Chao Min Yongwu Xiu Qian Shi Qinghua Yang |
author_facet |
Qiaoqiao Zhang Hao Luo Chao Min Yongwu Xiu Qian Shi Qinghua Yang |
author_sort |
Qiaoqiao Zhang |
title |
Evaluation of Arctic Sea Ice Thickness from a Parameter-Optimized Arctic Sea Ice–Ocean Model |
title_short |
Evaluation of Arctic Sea Ice Thickness from a Parameter-Optimized Arctic Sea Ice–Ocean Model |
title_full |
Evaluation of Arctic Sea Ice Thickness from a Parameter-Optimized Arctic Sea Ice–Ocean Model |
title_fullStr |
Evaluation of Arctic Sea Ice Thickness from a Parameter-Optimized Arctic Sea Ice–Ocean Model |
title_full_unstemmed |
Evaluation of Arctic Sea Ice Thickness from a Parameter-Optimized Arctic Sea Ice–Ocean Model |
title_sort |
evaluation of arctic sea ice thickness from a parameter-optimized arctic sea ice–ocean model |
publisher |
MDPI AG |
publishDate |
2023 |
url |
https://doi.org/10.3390/rs15102537 https://doaj.org/article/f84dae2db4cf46f1a4b2ae20c9c6841f |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Arctic Arctic Ocean Atlantic Arctic Atlantic-Arctic Beaufort Sea Canadian Archipelago North Atlantic Sea ice |
genre_facet |
Arctic Arctic Ocean Atlantic Arctic Atlantic-Arctic Beaufort Sea Canadian Archipelago North Atlantic Sea ice |
op_source |
Remote Sensing, Vol 15, Iss 2537, p 2537 (2023) |
op_relation |
https://www.mdpi.com/2072-4292/15/10/2537 https://doaj.org/toc/2072-4292 doi:10.3390/rs15102537 2072-4292 https://doaj.org/article/f84dae2db4cf46f1a4b2ae20c9c6841f |
op_doi |
https://doi.org/10.3390/rs15102537 |
container_title |
Remote Sensing |
container_volume |
15 |
container_issue |
10 |
container_start_page |
2537 |
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1768381147615592448 |