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An Improved Precipitation Nowcasting Algorithm Based on COTREC Method

文献类型：期刊论文

作者Yang, Zhida2; Qi, Youcun2; Li, Donghuan2; Yang, Yi1,2
刊名IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
出版日期2024
卷号62页码:19
关键词Precipitation Storms Radar tracking Reflectivity Vectors Rain Probabilistic logic Continuity of tracking of radar echo with correlations (COTREC) nowcasting
ISSN号0196-2892
DOI10.1109/TGRS.2024.3446826
产权排序2
英文摘要Accurate and refined nowcasting of short-term intense precipitation can be utilized to provide timely warnings and mitigate the damage caused by hydrological and meteorological disasters. Radar echo extrapolation can provide highly efficient forecasts of precipitation with high spatial and temporal resolution during the first 3 h and has been widely used in operational nowcasting systems in aviation, meteorology, hydrology, and other fields. However, these extrapolation methods still have drawbacks and need to be improved to provide more accurate nowcasting. In this article, an improved nowcasting method, based on the continuity of tracking of radar echo with correlations (COTREC), named ensembled COTREC (EnCOTREC), was proposed. A comparison was then made between the COTREC method and the EnCOTREC method for several types of precipitation processes. By comparing the EnCOTREC method and the COTREC method in squall line (SL), convective and stratiform precipitation processes, the results show that the EnCOTREC method is better at describing precipitation motion than the COTREC method and thus performs better in precipitation nowcasting. Especially for processes with a large precipitation area and uniform precipitation intensity, the accuracy improvement of EnCOTREC is more pronounced. Through time series analysis, the results of the EnCOTREC method are more stable than those of the COTREC method, and the EnCOTREC method can perform better than COTREC, with an overall improvement of 5%.
WOS关键词CONTINENTAL RADAR IMAGES ; PREDICTABILITY ; NETWORK ; MOTION
资助项目National Key Research and Development Project[2022YFC3002904] ; Hainan Key Research and Development Project[ZDYF2023SHFZ125] ; Anyang Key Research and Development Project[2022A02SF005] ; Fujian Key Laboratory of Severe Weather[2021KFKT01]
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001322218300013
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key Research and Development Project ; Hainan Key Research and Development Project ; Anyang Key Research and Development Project ; Fujian Key Laboratory of Severe Weather
源URL[http://ir.igsnrr.ac.cn/handle/311030/210294]  
专题陆地水循环及地表过程院重点实验室_外文论文
通讯作者Qi, Youcun; Li, Donghuan; Yang, Yi
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Lanzhou Univ, Coll Atmospher Sci, Lanzhou 730000, Peoples R China
推荐引用方式
GB/T 7714		 Yang, Zhida,Qi, Youcun,Li, Donghuan,et al. An Improved Precipitation Nowcasting Algorithm Based on COTREC Method[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2024,62:19.
APA Yang, Zhida,Qi, Youcun,Li, Donghuan,&Yang, Yi.(2024).An Improved Precipitation Nowcasting Algorithm Based on COTREC Method.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,62,19.
MLA Yang, Zhida,et al."An Improved Precipitation Nowcasting Algorithm Based on COTREC Method".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 62(2024):19.

入库方式： OAI收割

来源：地理科学与资源研究所

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