The sudden turn from drought to flood (STDF) is an extreme climate event that frequently occurs over the middle and lower reaches of the Yangtze River Basin (MLYR) in China. This study investigates the role of the intraseasonal oscillation (ISO) in a STDF event in 2011 over the MLYR and analyses its dynamic characteristics. A wavelet analysis of the rainfall evolution shows that there are two ISO modes (10-20 days and 30-60 days) during the STDF event.When rainfall turns from drought to flood, both ISO modes of rainfall simultaneously convert from the negative phase to the positive phase. Further investigation on the two intraseasonal time scales illustrates that a meridionally-propagated Rossby wave train (RWT) propagates northward along the eastern China, and meets a zonally-propagated RWT from the North Atlantic to the North Pacific over the MLYR. The interaction of the two RWTs above is the key factor that causes the STDF event in 2011 over the MLYR.
Soil moisture (SM) plays an important role in the climate system, and the effects of SM anomalies on climate can persist from month to season. The seasonal frozen-thawing zone (SFTZ) in the northern hemisphere (NH), which is associated with large inter-annual variability in spring SM, is important from land–atmosphere interaction perspective. In this study, by assimilating spring SM in the SFTZ through indirect soil nudging (ISN) in the Weather Research and Forecasting (WRF) model, the effects of correcting spring SM biases in the SFTZ on subsequent summer precipitation simulations in the NH are investigated. The results indicated that correcting spring SM biases in the SFTZ improves the subsequent summer precipitation simulations in the NH. Correcting spring SM biases in the SFTZ significantly adjusts energy and moisture evolution on the land surface from spring to summer. Specifically, the correction of SM biases by assimilating SM in SFTZ in the spring can clearly reduce the biases of sensible heat flux (SH) and latent heat flux (LH) in the summer. This affects land–atmosphere interactions over NH, leading to correcting the negative biases of the geopotential height in the middle troposphere in June and July, as well as larger biases of water vapor transport and its divergence during the summer. The results imply that spring SM in the SFTZ is a potential signal for predicting summer precipitation in the NH.
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