Influence of Arctic Sea Ice Concentration on Extended-Range Prediction of Strong and Long-Lasting Ural Blocking Events in Winter
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-r...
Published in: | Journal of Geophysical Research: Atmospheres |
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AMER GEOPHYSICAL UNION
2022
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Online Access: | http://ir.qdio.ac.cn/handle/337002/178615 http://ir.qdio.ac.cn/handle/337002/178616 https://doi.org/10.1029/2021JD036282 |
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ftchinacasciocas:oai:ir.qdio.ac.cn:337002/178616 2023-05-15T14:59:19+02:00 Influence of Arctic Sea Ice Concentration on Extended-Range Prediction of Strong and Long-Lasting Ural Blocking Events in Winter Ma, Xueying Mu, Mu Dai, Guokun Han, Zhe Li, Chunxiang Jiang, Zhina 2022-03-16 http://ir.qdio.ac.cn/handle/337002/178615 http://ir.qdio.ac.cn/handle/337002/178616 https://doi.org/10.1029/2021JD036282 英语 eng AMER GEOPHYSICAL UNION JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES http://ir.qdio.ac.cn/handle/337002/178615 http://ir.qdio.ac.cn/handle/337002/178616 doi:10.1029/2021JD036282 Meteorology & Atmospheric Sciences 期刊论文 2022 ftchinacasciocas https://doi.org/10.1029/2021JD036282 2022-12-14T16:02:09Z 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 field through the diabatic heating process and further affect the temperature field in the Ural sector mainly by advection and convection processes. Moreover, the zonal winds in the Ural sector are adjusted by the thermal wind balance, thus affecting UB formation. The local characteristics of the SIC perturbations indicate that the GS, BS, and OKS may be sensitive areas in regard to extended-range prediction of strong and long-lasting UB formation, which can provide scientific support for the SIC target observations in the future. Report Arctic Barents Sea Greenland Greenland Sea okhotsk sea Sea ice Institute of Oceanology, Chinese Academy of Sciences: IOCAS-IR Arctic Barents Sea Okhotsk Greenland Journal of Geophysical Research: Atmospheres 127 5 |
institution |
Open Polar |
collection |
Institute of Oceanology, Chinese Academy of Sciences: IOCAS-IR |
op_collection_id |
ftchinacasciocas |
language |
English |
topic |
Meteorology & Atmospheric Sciences |
spellingShingle |
Meteorology & Atmospheric Sciences Ma, Xueying Mu, Mu Dai, Guokun Han, Zhe Li, Chunxiang Jiang, Zhina Influence of Arctic Sea Ice Concentration on Extended-Range Prediction of Strong and Long-Lasting Ural Blocking Events in Winter |
topic_facet |
Meteorology & Atmospheric Sciences |
description |
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 field through the diabatic heating process and further affect the temperature field in the Ural sector mainly by advection and convection processes. Moreover, the zonal winds in the Ural sector are adjusted by the thermal wind balance, thus affecting UB formation. The local characteristics of the SIC perturbations indicate that the GS, BS, and OKS may be sensitive areas in regard to extended-range prediction of strong and long-lasting UB formation, which can provide scientific support for the SIC target observations in the future. |
format |
Report |
author |
Ma, Xueying Mu, Mu Dai, Guokun Han, Zhe Li, Chunxiang Jiang, Zhina |
author_facet |
Ma, Xueying Mu, Mu Dai, Guokun Han, Zhe Li, Chunxiang Jiang, Zhina |
author_sort |
Ma, Xueying |
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 |
AMER GEOPHYSICAL UNION |
publishDate |
2022 |
url |
http://ir.qdio.ac.cn/handle/337002/178615 http://ir.qdio.ac.cn/handle/337002/178616 https://doi.org/10.1029/2021JD036282 |
geographic |
Arctic Barents Sea Okhotsk Greenland |
geographic_facet |
Arctic Barents Sea Okhotsk Greenland |
genre |
Arctic Barents Sea Greenland Greenland Sea okhotsk sea Sea ice |
genre_facet |
Arctic Barents Sea Greenland Greenland Sea okhotsk sea Sea ice |
op_relation |
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES http://ir.qdio.ac.cn/handle/337002/178615 http://ir.qdio.ac.cn/handle/337002/178616 doi:10.1029/2021JD036282 |
op_doi |
https://doi.org/10.1029/2021JD036282 |
container_title |
Journal of Geophysical Research: Atmospheres |
container_volume |
127 |
container_issue |
5 |
_version_ |
1766331421282009088 |