Abstract:Based on the daily observational and reanalysis data for 1979-2018, regularity and prediction method of the influence of boreal summer tropical intraseasonal oscillations on summer rainfall over China were investigated. The Anomalous Relative Tendency (ART) method was used to extract the subseasonal components of meteorological elements, then the EOF analysis was used to extract main boreal summer intraseasonal oscillations in the tropics. Results show that the first two EOF modes of the ART for OLR are orthogonal in time and space, which reflect the Boreal Summer Intraseasonal Oscillation (BSISO). Originated from Indian Ocean, the BSISO travels eastward as well as northward with a period of about 30-60 days. The results of regression analysis show that the BSISO leads to anomalies in the low-level wind field and geopotential height field in the local and its north area, consequently affects the convergences and divergences of water vapor in the local and its north area, which as a result, have impacts on the intraseasonal droughts and floods over China, especially the southern China, and to some extent reflect the northward propagation of anomalous rain belt in China. On the basis of the regularity, a subseasonal forecast model of summer precipitation over China has been constructed with the prediction of precipitation anomaly converted into the prediction of ART for precipitation by linear regression using the BSISO captured. The forecast of intraseasonal anomalous precipitation is output by combining the predicted ART for precipitation with observed recent background anomaly for precipitation. Through hindcast and cross validation, the intraseasonal rainfall skills of subseasonal forecast models have been evaluated in the Yangtze-Huaihe region during the Meiyu period (including the record-breaking Meiyu rainfall around the Yangtze River in 2020).