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Analysis of Causes and Seasonal Prediction of the Severe Floods in Yangtze / Huaihe Basins during Summer 1991


doi: 10.1007/BF02656834

  • The present paper shows that a seasonal prediction for the large scale flooding and waterlogging of the mid-lower Yangtze/ Huaihe River basins in the summer of 1991 made successfully in early April 1991. The seasonal fore-casting method and some predictors are also introduced and analyzed herein. Because the extra extent of the abnormally early onset of the plum rain period in 1991 was unexpected, great efforts have been made to find out the causes of this abnormality. These causes are mainly associated with the large scale warming of SST surrounding the south and east part of Asia during the preceding winter, while the ENSO-like pattern of SSTA occurred in the North Pacific. In addition, the possible influence of strong solar proton events is analyzed. In order to improve the seasonal prediction the usage of the predicted SOI in following spring / summer is also introduced. The author believes that the regional climate anomaly can be correctly predicted for one season ahead only on the basis of physical under-standing of the interactions of many preceding factors.
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    [2] LI Fang, LIN Zhongda, 2015: Improving Multi-model Ensemble Probabilistic Prediction of Yangtze River Valley Summer Rainfall, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 497-504.  doi: 10.1007/s00376-014-4073-8
    [3] Huang Ronghui, Li Xu, Yuan Chongguang, Lu Riyu, Moon Sung-Euii, Kim Ung-Jun, 1998: Seasonal Prediction Experiments of the Summer Droughts and Floods during the Early 1990’s in East Asia with Numerical Models, ADVANCES IN ATMOSPHERIC SCIENCES, 15, 433-446.  doi: 10.1007/s00376-998-0025-5
    [4] KE Zongjian, DONG Wenjie, ZHANG Peiqun, WANG Jin, ZHAO Tianbao, 2009: An Analysis of the Difference between the Multiple Linear Regression Approach and the Multimodel Ensemble Mean, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 1157-1168.  doi: 10.1007/s00376-009-8024-8
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    [6] Maeng-Ki KIM, Yeon-Hee KIM, 2010: Seasonal Prediction of Monthly Precipitation in China Using Large-Scale Climate Indices, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 47-59.  doi: 10.1007/s00376-009-8014-x
    [7] LIN Zhaohui, WANG Huijun, ZHOU Guangqing, CHEN Hong, LANG Xianmei, ZHAO Yan, ZENG Qingcun, 2004: Recent Advances in Dynamical Extra-Seasonal to Annual Climate Prediction at IAP/CAS, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 456-466.  doi: 10.1007/BF02915572
    [8] Zhiyi ZHOU, Juan LI, Haishan CHEN, Zhiwei ZHU, 2023: Seasonal Prediction of Extreme High-Temperature Days in Southwestern China Based on the Physical Precursors, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 1212-1224.  doi: 10.1007/s00376-022-2075-5
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    [11] Bo LU, Hong-Li REN, Rosie EADE, Martin ANDREWS, 2018: Indian Ocean SST modes and Their Impacts as Simulated in BCC_CSM1.1(m) and HadGEM3, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 1035-1048.  doi: 10.1007/s00376-018-7279-3
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Manuscript History

Manuscript received: 10 April 1995
Manuscript revised: 10 April 1995
通讯作者: 陈斌, bchen63@163.com
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Analysis of Causes and Seasonal Prediction of the Severe Floods in Yangtze / Huaihe Basins during Summer 1991

  • 1. Jiangsu Meteorological Institute, Nanjing 210008

Abstract: The present paper shows that a seasonal prediction for the large scale flooding and waterlogging of the mid-lower Yangtze/ Huaihe River basins in the summer of 1991 made successfully in early April 1991. The seasonal fore-casting method and some predictors are also introduced and analyzed herein. Because the extra extent of the abnormally early onset of the plum rain period in 1991 was unexpected, great efforts have been made to find out the causes of this abnormality. These causes are mainly associated with the large scale warming of SST surrounding the south and east part of Asia during the preceding winter, while the ENSO-like pattern of SSTA occurred in the North Pacific. In addition, the possible influence of strong solar proton events is analyzed. In order to improve the seasonal prediction the usage of the predicted SOI in following spring / summer is also introduced. The author believes that the regional climate anomaly can be correctly predicted for one season ahead only on the basis of physical under-standing of the interactions of many preceding factors.

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