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Evolution of South China Sea and East Asian monsoon from spring to summer by the progression of daily weather types.
- Source :
- International Journal of Climatology; Jun2022, Vol. 42 Issue 7, p3633-3647, 15p
- Publication Year :
- 2022
-
Abstract
- The monsoon development in the early rainy season in East Asia is analysed by the evolution of daily weather types (WTs). The WTs are classified by a k‐means clustering analysis based on 850 hPa winds from April 1 to July 31 in the 40‐year period of 1979–2018. Five WTs are identified, typifying the progression of weather regimes in the monsoonal evolution. WTs 1 and 2, with easterly winds in the South China Sea (SCS), occurs mostly in April and early May, corresponding to typical WTs before the SCS monsoon onset. In WT3, winds in the SCS turns westerly, and a rain band emerges in South China, extending east‐northeastward to the Pacific Ocean south of Japan, which signifies the May–June Mei‐yu in South China. Then, with the rain band moved to Yangtze River Valley (YRV) in WT4, this WT corresponds to the June–July Mei‐Yu in central and eastern China along the YRV. Finally, WT5 occurs more frequently towards the end of July, and corresponds to the post‐Mei‐Yu WT, indicating the ending of the early summer rainfall season in East Asia. The evolution of the WTs is gradual but intermittent, representing the weather‐within‐climate information. Each WT likely persists to itself. But WT1 and WT2 also progress to each other. The long persistence of WT3 and WT4 up to several weeks indicates the quasi‐stationary Mei‐Yu in South China and the YRV, respectively. The year‐to‐year variability of the WTs is also evident in the WTs. The El Niño–Southern Oscillation (ENSO) impact on the precipitation in the East Asian region is analysed for three types of ENSO: Eastern Pacific, Central Pacific, and mixed El Niño and La Niña. The seasonal mean precipitation anomalies can be interpreted by the frequencies of the daily WTs under different ENSO conditions. [ABSTRACT FROM AUTHOR]
- Subjects :
- MONSOONS
PRECIPITATION anomalies
WEATHER
EL Nino
LA Nina
K-means clustering
Subjects
Details
- Language :
- English
- ISSN :
- 08998418
- Volume :
- 42
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- International Journal of Climatology
- Publication Type :
- Academic Journal
- Accession number :
- 157331289
- Full Text :
- https://doi.org/10.1002/joc.7436