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...

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Published in:Journal of Geophysical Research: Atmospheres
Main Authors: Ma, Xueying, Mu, Mu, Dai, Guokun, Han, Zhe, Li, Chunxiang, Jiang, Zhina
Format: Report
Language:English
Published: AMER GEOPHYSICAL UNION 2022
Subjects:
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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spelling 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
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