Diagnosing anomalous characteristics of atmospheric water cycle structure during seasonal-scale drought events:A case study in middle and lower reaches of Yangtze River
作者机构：College of Hydrology and Water ResourcesHohai UniversityNanjing 210098China
出 版 物：《Water Science and Engineering》 (水科学与水工程（英文版）)
年 卷 期：2022年第15卷第2期
页 面：103-113页
核心收录：
学科分类：08[工学] 0815[工学-水利工程] 081502[工学-水力学及河流动力学]
基 金：supported by the National Key Research and Development Program of China(Grants No.2019YFC0409000,2017YFC1502403,and 2018YFC0407701) the Fundamental Research Funds for the Central Universities(Grant No.B200204045)
主 题：Water vapor transport Water vapor flux divergence Standardized anomalies Seasonal-scale drought process Middle and lower reaches of Yangtze River
摘 要：Anomalous characteristics of the atmospheric water cycle structure are highly significant to the mechanisms of seasonal-scale meteorological *** also play an important role in the identification of indicative predictors of *** better understand the causes of seasonal meteorological droughts in the middle and lower reaches of the Yangtze River(MLRYR),characteristics of the atmospheric water cycle structure at different drought stages were determined using standardized *** results showed that the total column water vapor(TCWV)was anomalously low during drought occurrence *** contrast,there were no anomalous signals at the drought persistence and recovery stages in the ***,there was no significant temporal correlation between the TCWV anomaly and seasonal-scale drought index(the 3-month standardized precipitation index(SPI_(3))).During drought events,water vapor that mainly originated from the Bay of Bengal was transported southwest of the ***,the anomalous signal of water vapor transport was negative at the drought appearance *** the drought persistence stage,the negative anomalous signal was the most *** vapor flux divergence in the MLRYR showed significant positive anomalous signals during drought events,and the signal intensity shifted from an increasing to a decreasing trend at different drought *** addition,a significant positive correlation existed between the anomaly of water vapor flux divergence and regional SPI_(3).Overall,water vapor flux divergence is more predictive of droughts in the MLRYR.
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