Abstract
The 2020 extreme rainfall was highly unusual with episodes of intensive rains and winds from the middle and lower reaches of the Yangtze River Valley to southern Japan. Given the severe implications and huge forecast spread among different models, the extreme Mei-yu has aroused widespread concern. This study is aimed at synthesizing the latest research on the characteristics and potential climate forcing factors of such extreme Mei-yu and discusses the challenges and outlooks for prediction and numerical modeling. The distinct characteristics of the Yangtze River Valley summer rainfalls in 2020 included record-breaking accumulated precipitation, longest duration, earliest onset, and highest intensity. We summarize the majority of the studies investigating the diverse coupled ocean-atmospheric processes at different timescales. The research consensus is that the anomalous anticyclone spanning the western North Pacific and the mid-high latitude trough-ridge patterns are the two critical circulation features carrying tropical and mid-high latitude signals, jointly affecting the extreme Mei-yu. Potential mechanisms based on the two essential atmospheric circulations during the Mei-yu period are then highlighted. In addition, different climate model simulations are also introduced to reach an inter-model agreement despite certain model biases on the response of atmospheric circulations to these potential forcings among the state-of-the-art atmospheric and coupled general circulation models. This study provides a synthesis to promote the understanding, prediction, and disaster prevention of extreme Mei-yu.
| Original language | English |
|---|---|
| Article number | 104597 |
| Pages (from-to) | 1-14 |
| Number of pages | 14 |
| Journal | Earth-Science Reviews |
| Volume | 246 |
| Early online date | 15 Oct 2023 |
| DOIs | |
| Publication status | Published - Nov 2023 |
Bibliographical note
Funding Information:This work was jointly supported by grants from the National Natural Science Foundation of China ( 42088101 , 41975077 ), the Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (No. 311022001 ), the Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies (Grant 2020B1212060025 ), the National Program on Global Change and Air-Sea Interaction ( GASI-IPOVAI-04 ), and the Zhuhai Joint Innovative Center for Climate, Environment and Ecosystem. This study is also supported by the open fund of State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, MNR (No. QNHX2331 ).
Publisher Copyright:
© 2023 Elsevier B.V.
Funding
This work was jointly supported by grants from the National Natural Science Foundation of China ( 42088101 , 41975077 ), the Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (No. 311022001 ), the Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies (Grant 2020B1212060025 ), the National Program on Global Change and Air-Sea Interaction ( GASI-IPOVAI-04 ), and the Zhuhai Joint Innovative Center for Climate, Environment and Ecosystem. This study is also supported by the open fund of State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, MNR (No. QNHX2331 ).
| Funders | Funder number |
|---|---|
| Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies | 2020B1212060025 |
| Second Institute of Oceanography, MNR | QNHX2331 |
| National Natural Science Foundation of China | 41975077, 42088101 |
| National Natural Science Foundation of China | |
| State Key Laboratory of Satellite Ocean Environment Dynamics | |
| National Program on Global Change and Air-Sea Interaction, State Oceanic Administration | GASI-IPOVAI-04 |
| National Program on Global Change and Air-Sea Interaction, State Oceanic Administration | |
| Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) | 311022001 |
| Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) |
Keywords
- Asian monsoon
- Climate variability
- East Asian upper-level westerly jet
- Extreme Mei-yu rainfall
- Western North Pacific subtropical high
- Yangtze River Valley
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