Statistical analysis of the impacts of intra‐seasonal oscillations on the South China Sea summer monsoon withdrawal

Hu, Peng; Chen, Wen; Chen, Shangfeng; Huang, Ruping

doi:10.1002/joc.6284

Cited by 11 publications

(3 citation statements)

References 42 publications

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“…Figure 5 shows the time series of the SCSSM withdrawal pentad. e mean and standard deviation (SD) of the SCSSM retreat are pentads 55.3 (about October 8th) and 3.4, while the interannual fluctuation of the SCSSM retreat is stronger than that of the onset, which is consistent with Luo and Lin [23] and Hu et al [37] who provided two different sets of SCSSM withdrawal dates characteristics.…”

Section: Differences Of the Scssm Withdrawal Characteristics During The Two Epochssupporting

confidence: 80%

Characteristics of the South China Sea Monsoon from the Onset to Withdrawal before and after 1993/94

Xiaofang

Lijuan

2020

Advances in Meteorology

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The characteristics and possible impact factors of the South China Sea summer monsoon (SCSSM) evolution from onset to withdrawal before and after 1993/94 are investigated using ERA-Interim, CPC rainfall, and OLR data. During the late-onset period of 1979–1993, the SCSSM was characterized by stronger onset intensity and a gradual withdrawal, resulting in a continuous, strong preflood season in Southern China and a slower rain-belt retreat from north to south China in September. In addition, the rain-belt in the Yangtze River basin persisted much longer during summer. However, during the early-onset period in 1994–2016, the SCSSM is associated with a weaker onset intensity and comparatively faster retreat. The advanced preflood season lasted intermittently throughout May and the whole eastern China precipitation lasted until October when it retreated rapidly, making the rain-belt in Southern China persist for an extended duration. Further analysis indicates that a strong modulation of SCS intraseasonal oscillation (ISO) on the SCSSM evolution is observed. There are two active low-frequency oscillations over the SCS in summer during the late-onset period but three during the early-onset period. The wet ISO in the Northwest Pacific propagating northwestward into the SCS and enhanced SCSSM ISO activity may contribute to the early onset and faster withdrawal after 1993/94. The effect of warm western Pacific sea surface temperatures (SST) on the SCSSM evolution is also discussed.

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Section: Differences Of the Scssm Withdrawal Characteristics During The Two Epochssupporting

confidence: 80%

Characteristics of the South China Sea Monsoon from the Onset to Withdrawal before and after 1993/94

Xiaofang

Lijuan

2020

Advances in Meteorology

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“…However, using fixed indices to define the SCSSM can be subjective and exhibit strong fluctuations (Luo & Lin, 2017). Although different definition methods have shown similar results in some years, there are still some differences (Chen et al, 2022;Hu et al, 2019b;Luo & Lin, 2017;Shao et al, 2015). On the other hand, different climate models under the impacts of various model constructions, parameterizations and physical processes are also important reasons that cannot be ignored leading to the uncertainty of SCSSM (Fan et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Uncertainties of the South China Sea summer monsoon and its relationship with sea surface temperature from different reanalysis datasets

Zhao,

Tuo,

Yang

et al. 2024

Intl Journal of Climatology

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The South China Sea summer monsoon (SCSSM) onset and withdrawal have critical impacts on the climate of East Asia. However, using different reanalysis data may lead to the uncertainty of the SCSSM. This study uses reanalysis datasets including JRA‐55, ERA5, NCEP‐NCAR NCEP‐1 and NCEP‐DOE NCEP‐2 to calculate onset and withdrawal dates and index of SCSSM from 1991 to 2020, analyses the uncertainty and figures out the possible reasons. Results reveal that the four reanalysis datasets have obvious uncertainty in calculating the withdrawal date of SCSSM, with the deviation being up to 3.4 pentads. Further analysis shows that large differences in thermal conditions and lead to the uncertainties. From the perspective of precipitation, Greater uncertainty exists in the relationship between monsoon retreat and September–October precipitation, NCEP1 and NCEP2 datasets show weak correlation in southern China and Indonesia. Moreover, the uncertainty can be also found in the correlations of SCSSM with global sea surface temperature (SST) anomalies. JRA‐55 and ERA5 show a strong correlation of with SST in several areas, and exhibit a distinct Pacific decadal oscillation (PDO) mode with monsoon onset, while NCEP‐1 and NCEP‐2 have a weaker correlation with SST anomalies than JRA‐55 or ERA5. Comparing multiple factors comprehensively, this paper concludes that JRA‐55 may be more representative in the monsoon study, followed by ERA data. In short, depending on the specific research questions, researchers can choose appropriate data sources to study the SCSSM based on the different aspects and the uncertainty also deserve our special attention when selecting the reanalysis datasets.

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“…The QBWO is closely related to the weather and climate system (Kikuchi & Wang, 2009). It strongly regulates global monsoons (Chen & Chen, 1993, 1995; Goswami & Ajaya Mohan, 2001; Hu et al., 2018, 2020; Krishnamurti & Ardanuy, 1980; Mao & Chan, 2005; Zhou & Chan, 2005), the tropical cyclones (Ling et al., 2016, 2020), and extreme weather, like heat waves and summer rainfalls (Chen et al., 2016; Hsu et al., 2015).…”

Section: Introductionmentioning

confidence: 99%

Sea Surface Energy Fluxes' Response to the Quasi‐Biweekly Oscillation: A Case Study in the South China Sea

Qi,

Han,

Yang

et al. 2023

Geophysical Research Letters

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The South China Sea (SCS) owns the world's strongest quasi‐biweekly oscillation (QBWO) in boreal summer, but the mechanism is still unclear. This case study summarizes two modes of QBWO over the summer SCS in 2019 by using empirical orthogonal function on the 10–20‐day bandpass‐filtered outgoing longwave radiation fields. The maximum positive irradiance anomalies for the two modes are 90 W m−2. The upward solar and downward longwave radiation anomalies own about 4%–8% of the irradiance magnitude, and the surface upward longwave radiation shows a weak response. Sea surface turbulent heat fluxes' responses to QBWO display different spatial patterns compared to radiation fluxes. Their changes are mainly ascribed to the surface wind in Mode1 and the air‐sea thermal contrast in Mode2. We also discuss the cause and impact of sea surface turbulent heat fluxes on QBWO.

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Statistical analysis of the impacts of intra‐seasonal oscillations on the South China Sea summer monsoon withdrawal

Cited by 11 publications

References 42 publications

Characteristics of the South China Sea Monsoon from the Onset to Withdrawal before and after 1993/94

Characteristics of the South China Sea Monsoon from the Onset to Withdrawal before and after 1993/94

Uncertainties of the South China Sea summer monsoon and its relationship with sea surface temperature from different reanalysis datasets

Sea Surface Energy Fluxes' Response to the Quasi‐Biweekly Oscillation: A Case Study in the South China Sea

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