Influence of Arctic Sea ice concentration on extended-range prediction of strong and Long-lasting ural blocking events in Winter ...
<!--!introduction!--> It is traditionally considered that the predictability of atmosphere reaches approximately 2 weeks due to its chaotic features. Considering boundary conditions, the lead prediction time can exceed 2 weeks in certain cases. We find that the Arctic sea ice concentration (SI...
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GFZ German Research Centre for Geosciences
2023
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ftdatacite:10.57757/iugg23-0708 2023-06-11T04:08:59+02:00 Influence of Arctic Sea ice concentration on extended-range prediction of strong and Long-lasting ural blocking events in Winter ... Mu, Mu Dai, Guokun Ma, Xueying 2023 https://dx.doi.org/10.57757/iugg23-0708 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016779 unknown GFZ German Research Centre for Geosciences Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 ConferencePaper Oral Article 2023 ftdatacite https://doi.org/10.57757/iugg23-0708 2023-06-01T11:08:45Z <!--!introduction!--> It is traditionally considered that the predictability of atmosphere reaches approximately 2 weeks due to its chaotic features. Considering boundary conditions, the lead prediction time can exceed 2 weeks in certain cases. We find that the Arctic sea ice concentration (SIC) is crucial for extended-range prediction of strong and long-lasting Ural blocking (UB) formation. By applying the rotated empirical orthogonal function-based particle swarm optimization algorithm, the conditional nonlinear optimal perturbation is calculated with the Community Atmosphere Model, version 4, to identify the optimally growing boundary errors in extended-range prediction of strong and long-lasting UB formation. It is found that SIC perturbations in the Greenland Sea (GS), Barents Sea (BS), and Okhotsk Sea (OKS) are important for strong and long-lasting UB formation prediction in four pentads. Further analysis reveals that the SIC perturbations in these areas first influence the local temperature ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ... Conference Object Arctic Barents Sea Greenland Greenland Sea okhotsk sea Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic Barents Sea Greenland Okhotsk |
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DataCite Metadata Store (German National Library of Science and Technology) |
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description |
<!--!introduction!--> It is traditionally considered that the predictability of atmosphere reaches approximately 2 weeks due to its chaotic features. Considering boundary conditions, the lead prediction time can exceed 2 weeks in certain cases. We find that the Arctic sea ice concentration (SIC) is crucial for extended-range prediction of strong and long-lasting Ural blocking (UB) formation. By applying the rotated empirical orthogonal function-based particle swarm optimization algorithm, the conditional nonlinear optimal perturbation is calculated with the Community Atmosphere Model, version 4, to identify the optimally growing boundary errors in extended-range prediction of strong and long-lasting UB formation. It is found that SIC perturbations in the Greenland Sea (GS), Barents Sea (BS), and Okhotsk Sea (OKS) are important for strong and long-lasting UB formation prediction in four pentads. Further analysis reveals that the SIC perturbations in these areas first influence the local temperature ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ... |
format |
Conference Object |
author |
Mu, Mu Dai, Guokun Ma, Xueying |
spellingShingle |
Mu, Mu Dai, Guokun Ma, Xueying Influence of Arctic Sea ice concentration on extended-range prediction of strong and Long-lasting ural blocking events in Winter ... |
author_facet |
Mu, Mu Dai, Guokun Ma, Xueying |
author_sort |
Mu, Mu |
title |
Influence of Arctic Sea ice concentration on extended-range prediction of strong and Long-lasting ural blocking events in Winter ... |
title_short |
Influence of Arctic Sea ice concentration on extended-range prediction of strong and Long-lasting ural blocking events in Winter ... |
title_full |
Influence of Arctic Sea ice concentration on extended-range prediction of strong and Long-lasting ural blocking events in Winter ... |
title_fullStr |
Influence of Arctic Sea ice concentration on extended-range prediction of strong and Long-lasting ural blocking events in Winter ... |
title_full_unstemmed |
Influence of Arctic Sea ice concentration on extended-range prediction of strong and Long-lasting ural blocking events in Winter ... |
title_sort |
influence of arctic sea ice concentration on extended-range prediction of strong and long-lasting ural blocking events in winter ... |
publisher |
GFZ German Research Centre for Geosciences |
publishDate |
2023 |
url |
https://dx.doi.org/10.57757/iugg23-0708 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5016779 |
geographic |
Arctic Barents Sea Greenland Okhotsk |
geographic_facet |
Arctic Barents Sea Greenland Okhotsk |
genre |
Arctic Barents Sea Greenland Greenland Sea okhotsk sea Sea ice |
genre_facet |
Arctic Barents Sea Greenland Greenland Sea okhotsk sea Sea ice |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.57757/iugg23-0708 |
_version_ |
1768382665648504832 |