Assessment of Arctic sea ice simulations in cGENIE model and projections under RCP scenarios
Abstract Simulating and predicting Arctic sea ice accurately remains an academic focus due to the complex and unclear mechanisms of Arctic sea ice variability and model biases. Meanwhile, the relevant forecasting and monitoring authorities are searching for models to meet practical needs. Given the...
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ftdoajarticles:oai:doaj.org/article:897a2f1c0f6b403bb025784d5a6a8a46 2024-09-15T17:52:51+00:00 Assessment of Arctic sea ice simulations in cGENIE model and projections under RCP scenarios Di Chen Min Fu Xin Liu Qizhen Sun 2024-07-01T00:00:00Z https://doi.org/10.1038/s41598-024-67391-1 https://doaj.org/article/897a2f1c0f6b403bb025784d5a6a8a46 EN eng Nature Portfolio https://doi.org/10.1038/s41598-024-67391-1 https://doaj.org/toc/2045-2322 doi:10.1038/s41598-024-67391-1 2045-2322 https://doaj.org/article/897a2f1c0f6b403bb025784d5a6a8a46 Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024) Simulation skill Arctic sea ice Future projection RCP scenarios Medicine R Science Q article 2024 ftdoajarticles https://doi.org/10.1038/s41598-024-67391-1 2024-08-05T17:48:53Z Abstract Simulating and predicting Arctic sea ice accurately remains an academic focus due to the complex and unclear mechanisms of Arctic sea ice variability and model biases. Meanwhile, the relevant forecasting and monitoring authorities are searching for models to meet practical needs. Given the previous ideal performance of cGENIE model in other fields and notable features, we evaluated the model’s skill in simulating Arctic sea ice using multiple methods and it demonstrates great potential and combined advantages. On this basis, we examined the direct drivers of sea-ice variability and predicted the future spatio-temporal changes of Arctic sea ice using the model under different Representative Concentration Pathways (RCP) scenarios. Further studies also found that Arctic sea ice concentration shows large regional differences under RCP 8.5, while the magnitude of the reduction in Arctic sea ice thickness is generally greater compared to concentration, showing a more uniform consistency of change. Article in Journal/Newspaper Arctic Sea ice Directory of Open Access Journals: DOAJ Articles Scientific Reports 14 1 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
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Simulation skill Arctic sea ice Future projection RCP scenarios Medicine R Science Q |
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Simulation skill Arctic sea ice Future projection RCP scenarios Medicine R Science Q Di Chen Min Fu Xin Liu Qizhen Sun Assessment of Arctic sea ice simulations in cGENIE model and projections under RCP scenarios |
topic_facet |
Simulation skill Arctic sea ice Future projection RCP scenarios Medicine R Science Q |
description |
Abstract Simulating and predicting Arctic sea ice accurately remains an academic focus due to the complex and unclear mechanisms of Arctic sea ice variability and model biases. Meanwhile, the relevant forecasting and monitoring authorities are searching for models to meet practical needs. Given the previous ideal performance of cGENIE model in other fields and notable features, we evaluated the model’s skill in simulating Arctic sea ice using multiple methods and it demonstrates great potential and combined advantages. On this basis, we examined the direct drivers of sea-ice variability and predicted the future spatio-temporal changes of Arctic sea ice using the model under different Representative Concentration Pathways (RCP) scenarios. Further studies also found that Arctic sea ice concentration shows large regional differences under RCP 8.5, while the magnitude of the reduction in Arctic sea ice thickness is generally greater compared to concentration, showing a more uniform consistency of change. |
format |
Article in Journal/Newspaper |
author |
Di Chen Min Fu Xin Liu Qizhen Sun |
author_facet |
Di Chen Min Fu Xin Liu Qizhen Sun |
author_sort |
Di Chen |
title |
Assessment of Arctic sea ice simulations in cGENIE model and projections under RCP scenarios |
title_short |
Assessment of Arctic sea ice simulations in cGENIE model and projections under RCP scenarios |
title_full |
Assessment of Arctic sea ice simulations in cGENIE model and projections under RCP scenarios |
title_fullStr |
Assessment of Arctic sea ice simulations in cGENIE model and projections under RCP scenarios |
title_full_unstemmed |
Assessment of Arctic sea ice simulations in cGENIE model and projections under RCP scenarios |
title_sort |
assessment of arctic sea ice simulations in cgenie model and projections under rcp scenarios |
publisher |
Nature Portfolio |
publishDate |
2024 |
url |
https://doi.org/10.1038/s41598-024-67391-1 https://doaj.org/article/897a2f1c0f6b403bb025784d5a6a8a46 |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024) |
op_relation |
https://doi.org/10.1038/s41598-024-67391-1 https://doaj.org/toc/2045-2322 doi:10.1038/s41598-024-67391-1 2045-2322 https://doaj.org/article/897a2f1c0f6b403bb025784d5a6a8a46 |
op_doi |
https://doi.org/10.1038/s41598-024-67391-1 |
container_title |
Scientific Reports |
container_volume |
14 |
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1 |
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1810294876506423296 |