A precipitation combined forecasting model based on atmospheric circulation and sea surface temperature

被引：0

作者：

Wu X. ^{[1
]}

Wang Z. ^{[1
]}

Chen K. ^{[2
]}

Qian S. ^{[3
]}

Wang J. ^{[3
]}

Chen X. ^{[4
]}

机构：

[1] School of Civil Engineering and Transportation, South China University of Technology, Guangzhou

[2] Hydrologic Bureau of Yangtze River Water Resources Commission, Wuhan

[3] State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan

[4] School of Civil Engineering, Sun Yat-sen University, Zhuhai

来源：

Water Resources Protection | 2022年 / 38卷 / 06期

关键词：

Atmospheric circulation; Combined forecasting model; Factor prediction opinion index; Long-term precipitation forecast; Multiple time-varying sea-temperature index; Sea surface temperature field; Three Gorges Reservoir Basin;

D O I：

10.3880/j.issn.1004-6933.2022.06.011

中图分类号：

学科分类号：

摘要：

In view of the chaos and randomness of precipitation and the high difficulty of accurate long-term precipitation prediction, the multiple time-varying sea-temperature index and factor prediction opinion index were proposed. Based on the atmospheric circulation and sea surface temperature (SST) field, a long-term combined precipitation forecasting model was constructed, which is verified by taking the Three Gorges Reservoir Basin as an example. The results show that the combined forecasting model has good applicability in the monthly precipitation forecast of the flood season from 1961 to 2020 in the Three Gorges Reservoir Basin, especially in June and September. Compared with multi-factor regression, random forest mathematical statistical model and CFSv2, ECMWF system 4 dynamic numerical models, this model is more robust and has significantly improved prediction accuracy. © 2022, Editorial Board of Water Resources Protection. All rights reserved.

引用

页码：81 / 87

页数：6

共 25 条

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