Volume 15 Issue 2
Jun.  2022
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Article Navigation >  Water Science and Engineering  > 2022  >  15(2): 103-113
Hai He, Rui Cao, Zhi-yong Wu, Yuan Li, Hao Yin, Fei Yuan. 2022: Diagnosing anomalous characteristics of atmospheric water cycle structure during seasonal-scale drought events:A case study in middle and lower reaches of Yangtze River. Water Science and Engineering, 15(2): 103-113. doi: 10.1016/j.wse.2022.01.001
Citation: Hai He, Rui Cao, Zhi-yong Wu, Yuan Li, Hao Yin, Fei Yuan. 2022: Diagnosing anomalous characteristics of atmospheric water cycle structure during seasonal-scale drought events:A case study in middle and lower reaches of Yangtze River. Water Science and Engineering, 15(2): 103-113. doi: 10.1016/j.wse.2022.01.001
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Diagnosing anomalous characteristics of atmospheric water cycle structure during seasonal-scale drought events:A case study in middle and lower reaches of Yangtze River

doi: 10.1016/j.wse.2022.01.001

  • College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China

Funds:

This work was supported by the National Key Research and Development Program of China (Grants No. 2019YFC0409000, 2017YFC1502403, and 2018YFC0407701) and the Fundamental Research Funds for the Central Universities (Grant No. B200204045).

  • Received Date: 2021-04-01
  • Accepted Date: 2021-07-23
  • Rev Recd Date: 2021-07-23
    • Available Online: 2022-06-21
    Abstract
  • Anomalous characteristics of the atmospheric water cycle structure are highly significant to the mechanisms of seasonal-scale meteorological droughts. They also play an important role in the identification of indicative predictors of droughts. To 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 anomalies. The results showed that the total column water vapor (TCWV) was anomalously low during drought occurrence periods. In contrast, there were no anomalous signals at the drought persistence and recovery stages in the MLRYR. Moreover, there was no significant temporal correlation between the TCWV anomaly and seasonal-scale drought index (the 3-month standardized precipitation index (SPI3)). During drought events, water vapor that mainly originated from the Bay of Bengal was transported southwest of the MLRYR. Meanwhile, the anomalous signal of water vapor transport was negative at the drought appearance stage. At the drought persistence stage, the negative anomalous signal was the most significant. Water 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 stages. In addition, a significant positive correlation existed between the anomaly of water vapor flux divergence and regional SPI3. Overall, water vapor flux divergence is more predictive of droughts in the MLRYR.

     

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