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The Joint Influences of the South Asian Jet Wave Train and Eurasian Teleconnection on the Wet–Cold Extreme over South China in February 2022.
- Source :
-
Journal of Climate . Dec2024, Vol. 37 Issue 23, p6235-6252. 18p. - Publication Year :
- 2024
-
Abstract
- In February 2022, an extreme wet and cold event hits South China, with the regional precipitation ranking the second highest on record, while the temperature ranked the third lowest since 1979. In this study, the physical mechanisms of this extreme event are investigated from the perspective of multiple time-scale interactions. Results show that the strong confrontation between the warm and moist air advection by the India–Burma trough (IBT) and the invasion of cold air activity related to the strengthening of the East Asian winter monsoon (EAWM) is the key to trigger this extreme event. Further analyses show that the multitime-scale coupling of the South Asian jet wave train and Eurasian (EU) teleconnection is the main reason for the strong cold and warm–moist airflow. The EU teleconnection on both intraseasonal and synoptic time scales plays a key role in triggering this extreme event by strengthening the EAWM. On the synoptic time scale, not only the EU teleconnection but also the South Asian jet wave train plays a key role. They show a stronger intensity on this time scale, and their coupling is obvious. The South Asian jet wave train enhances the moisture supply by deepening the IBT, which further conflicts with the strong EAWM modulated by the EU teleconnection over South China, leading to this extreme wet–cold event. The forecast skills in the Subseasonal to Seasonal (S2S) Prediction project models of this event are evaluated in this paper, and results show that the ECMWF model can successfully predict the extreme precipitation by capturing the coupling of the two wave trains with a 5-day lead time. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ATMOSPHERIC circulation
*PREDICTION models
*ADVECTION
*AIR flow
*MONSOONS
Subjects
Details
- Language :
- English
- ISSN :
- 08948755
- Volume :
- 37
- Issue :
- 23
- Database :
- Academic Search Index
- Journal :
- Journal of Climate
- Publication Type :
- Academic Journal
- Accession number :
- 180762926
- Full Text :
- https://doi.org/10.1175/JCLI-D-23-0457.1