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Quantifying the influence of atmospheric rivers on rainfall over the Jianghuai River Basin during the 2022 Mei‐yu season

Y. Zhang Orcid Logo, Y. Han, Yunqing Xuan Orcid Logo, H. Zhou, H. Gao, N. Yang

Quarterly Journal of the Royal Meteorological Society, Volume: 150, Issue: 762, Pages: 3182 - 3195

Swansea University Author: Yunqing Xuan Orcid Logo

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DOI (Published version): 10.1002/qj.4758

Abstract

Atmospheric rivers (ARs) are narrow, elongated belts of intense water vapor transport that often occur in mid-latitude areas and are the primary drivers of heavy precipitation in these regions. This study investigates the impact of ARs on precipitation patterns in the Jianghuai River Basin during th...

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Published in: Quarterly Journal of the Royal Meteorological Society
ISSN: 0035-9009 1477-870X
Published: Wiley 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa66636
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Focusing on a specific rainstorm event on June 27, 2022, we analyze atmospheric circulation, water vapor attributes, and transport trajectories. Three distinct classes of grids (Class A, significantly influenced by ARs; Class B, moderately affected; and Class C, untouched by ARs) are identified based on their response to ARs. Class A grids, located centrally, experience substantial precipitation, with a higher probability of rainstorm events. Class B grids, situated at a distance from ARs, exhibit moderate precipitation and a longer duration of rainy days. Class C grids, minimally affected by ARs, experience minimal precipitation with almost no chance of rainstorm events. The results from grid-based analysis emphasize the localized influence of ARs, indicating a 8–30 times increase in precipitation intensity of Class A compared to Class C. The 23-day Mei-yu period is further categorized into AR days and non-AR days, revealing that ARs amplify precipitation intensity by 2–5 times on average. Grid-based and day-based analyses provide complementary insights, with the former offering a broader spatial perspective and the latter emphasizing temporal distinctions. 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spelling v2 66636 2024-06-10 Quantifying the influence of atmospheric rivers on rainfall over the Jianghuai River Basin during the 2022 Mei‐yu season 3ece84458da360ff84fa95aa1c0c912b 0000-0003-2736-8625 Yunqing Xuan Yunqing Xuan true false 2024-06-10 ACEM Atmospheric rivers (ARs) are narrow, elongated belts of intense water vapor transport that often occur in mid-latitude areas and are the primary drivers of heavy precipitation in these regions. This study investigates the impact of ARs on precipitation patterns in the Jianghuai River Basin during the Mei-yu period. Focusing on a specific rainstorm event on June 27, 2022, we analyze atmospheric circulation, water vapor attributes, and transport trajectories. Three distinct classes of grids (Class A, significantly influenced by ARs; Class B, moderately affected; and Class C, untouched by ARs) are identified based on their response to ARs. Class A grids, located centrally, experience substantial precipitation, with a higher probability of rainstorm events. Class B grids, situated at a distance from ARs, exhibit moderate precipitation and a longer duration of rainy days. Class C grids, minimally affected by ARs, experience minimal precipitation with almost no chance of rainstorm events. The results from grid-based analysis emphasize the localized influence of ARs, indicating a 8–30 times increase in precipitation intensity of Class A compared to Class C. The 23-day Mei-yu period is further categorized into AR days and non-AR days, revealing that ARs amplify precipitation intensity by 2–5 times on average. Grid-based and day-based analyses provide complementary insights, with the former offering a broader spatial perspective and the latter emphasizing temporal distinctions. These findings underscore the nuanced influence of ARs on precipitation, emphasizing their role in extreme events and highlighting the importance of considering both spatial and temporal factors in understanding precipitation variability. Journal Article Quarterly Journal of the Royal Meteorological Society 150 762 3182 3195 Wiley 0035-9009 1477-870X Amplifying effect; atmospheric rivers; Mei-yu season; precipitation patterns 1 7 2024 2024-07-01 10.1002/qj.4758 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University Another institution paid the OA fee National Key Research and Development Program of China. Grant Number: 2021YFC2802502; Project of China Meteorological Administration. Grant Number: CXFZ2022J010; China Scholarship Council Fund. Grant Number: 202008320169 2024-11-01T15:16:51.8526872 2024-06-10T12:23:08.5887307 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Y. Zhang 0000-0002-1448-0119 1 Y. Han 2 Yunqing Xuan 0000-0003-2736-8625 3 H. Zhou 4 H. Gao 5 N. Yang 6 66636__30955__b0161409697a4675ad80da9da2de940d.pdf 66636.VoR.pdf 2024-07-24T11:52:09.7397068 Output 14867869 application/pdf Version of Record true © 2024 The Author(s). This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License. true eng http://creativecommons.org/licenses/by-nc-nd/4.0/
title Quantifying the influence of atmospheric rivers on rainfall over the Jianghuai River Basin during the 2022 Mei‐yu season
spellingShingle Quantifying the influence of atmospheric rivers on rainfall over the Jianghuai River Basin during the 2022 Mei‐yu season
Yunqing Xuan
title_short Quantifying the influence of atmospheric rivers on rainfall over the Jianghuai River Basin during the 2022 Mei‐yu season
title_full Quantifying the influence of atmospheric rivers on rainfall over the Jianghuai River Basin during the 2022 Mei‐yu season
title_fullStr Quantifying the influence of atmospheric rivers on rainfall over the Jianghuai River Basin during the 2022 Mei‐yu season
title_full_unstemmed Quantifying the influence of atmospheric rivers on rainfall over the Jianghuai River Basin during the 2022 Mei‐yu season
title_sort Quantifying the influence of atmospheric rivers on rainfall over the Jianghuai River Basin during the 2022 Mei‐yu season
author_id_str_mv 3ece84458da360ff84fa95aa1c0c912b
author_id_fullname_str_mv 3ece84458da360ff84fa95aa1c0c912b_***_Yunqing Xuan
author Yunqing Xuan
author2 Y. Zhang
Y. Han
Yunqing Xuan
H. Zhou
H. Gao
N. Yang
format Journal article
container_title Quarterly Journal of the Royal Meteorological Society
container_volume 150
container_issue 762
container_start_page 3182
publishDate 2024
institution Swansea University
issn 0035-9009
1477-870X
doi_str_mv 10.1002/qj.4758
publisher Wiley
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 1
active_str 0
description Atmospheric rivers (ARs) are narrow, elongated belts of intense water vapor transport that often occur in mid-latitude areas and are the primary drivers of heavy precipitation in these regions. This study investigates the impact of ARs on precipitation patterns in the Jianghuai River Basin during the Mei-yu period. Focusing on a specific rainstorm event on June 27, 2022, we analyze atmospheric circulation, water vapor attributes, and transport trajectories. Three distinct classes of grids (Class A, significantly influenced by ARs; Class B, moderately affected; and Class C, untouched by ARs) are identified based on their response to ARs. Class A grids, located centrally, experience substantial precipitation, with a higher probability of rainstorm events. Class B grids, situated at a distance from ARs, exhibit moderate precipitation and a longer duration of rainy days. Class C grids, minimally affected by ARs, experience minimal precipitation with almost no chance of rainstorm events. The results from grid-based analysis emphasize the localized influence of ARs, indicating a 8–30 times increase in precipitation intensity of Class A compared to Class C. The 23-day Mei-yu period is further categorized into AR days and non-AR days, revealing that ARs amplify precipitation intensity by 2–5 times on average. Grid-based and day-based analyses provide complementary insights, with the former offering a broader spatial perspective and the latter emphasizing temporal distinctions. These findings underscore the nuanced influence of ARs on precipitation, emphasizing their role in extreme events and highlighting the importance of considering both spatial and temporal factors in understanding precipitation variability.
published_date 2024-07-01T15:16:49Z
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score 11.037319

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