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  1. Nov 22, 2008 · Meiyu onset (MO) over Yangtze-Huaihe River Valley (YHRV) possesses obvious characteristics of interannual variations. Based on NCEP/NCAR reanalysis data sets, NOAA OLR and ERSST data, the interannual variability of MO(IVMO) and its previous strong influence signal (PSIS) are investigated. The possible mechanisms that the PSIS affecting IVMO are also discussed. The results show that the ...

  2. Sep 18, 2023 · Overall, the intensity of rainfall events during the Mei-yu period has the most significant response to climate change in observations and projections. The model results have a relatively large uncertainty. Mei-yu, extreme precipitation events, days without rainfall, water vapor, 2°C warming scenario.

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  4. Apr 26, 2021 · The record-long 2020 Meiyu season since 1961 caused severe floods over the Yangtze and Huaihe River valleys (YHRV). Why the Meiyu duration doubled in 2020 remains a puzzle. We show that the long-lasting Meiyu can be divided into three stages: advanced-onset, strong-persisting, and delayed-withdrawal.

    • Shaobo Qiao, Dong Chen, Bin Wang, Ho‐Nam Cheung, Fei Liu, Jianbo Cheng, Shankai Tang, Zengping Zhang...
    • 61
    • 2021
    • 26 April 2021
  5. Apr 23, 2022 · Meiyu onset marks the beginning of the rainfall season in the densely populated Yangtze River Basin, whether the Meiyu initiates early or late in June, and thus has a profound effect on the several hundred million people living there. Applying a Bayesian change-point analysis to data from 1960–2014, we objectively detected an abrupt change of Meiyu onset around 2002. The Meiyu onset date ...

  6. Jul 7, 2021 · The characteristics of the East Asian monsoon and Meiyu–Baiu rainfall have been examined in ... interannual variability. In particular, extremely high values were observed in the wet years of ...

    • Hiroshi G. Takahashi, Hatsuki Fujinami
    • 2021
  7. mean precipitation and variance in the middle and lower reaches of the Yangtze River in China (near southern Japan). For the interannual variability of the precipitation averaged over the Meiyu region, the correlation with TRMM from high to low is ranked by MERRA2, GPCP, JRA55, ERA5, and NCEP/DOE.

  8. By using the latest Meiyu data developed based on national Meiyu monitoring criteria and taking Meiyu over the Yangtze River as an example, the multi-scale variation of Meiyu is analyzed and the predictability of Meiyu from the perspective of external forcing of sea surface temperature (SST) is investigated. The predictability of Meiyu anomalies on the interannual time scale is discussed by ...

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