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Quantifying the influence of atmospheric rivers on rainfall over the Jianghuai River Basin during the 2022 Mei‐yu season
,
Y. Han,
Yunqing Xuan ,
H. Zhou,
H. Gao,
N. Yang
Quarterly Journal of the Royal Meteorological Society
Swansea University Author:
Yunqing Xuan
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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...
| Published in: | Quarterly Journal of the Royal Meteorological Society |
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| ISSN: | 0035-9009 1477-870X |
| Published: |
Wiley
2024
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa66636 |
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| 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 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. |
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| Keywords: |
amplifying effect; atmospheric rivers; Mei-yu season; precipitation patterns |
| College: |
Faculty of Science and Engineering |
| Funders: |
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 |