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Exploring a similarity search-based data-driven framework for multi-step-ahead flood forecasting.
Lin, Kangling; Chen, Hua; Zhou, Yanlai; Sheng, Sheng; Luo, Yuxuan; Guo, Shenglian; Xu, Chong-Yu.
Affiliation
  • Lin K; State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China.
  • Chen H; State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China. Electronic address: chua@whu.edu.cn.
  • Zhou Y; State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China. Electronic address: yanlai.zhou@whu.edu.cn.
  • Sheng S; State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China.
  • Luo Y; State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China.
  • Guo S; State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China.
  • Xu CY; Department of Geosciences, University of Oslo, P.O. Box 1047 Blindern, N-0316 Oslo, Norway.
Sci Total Environ ; 891: 164494, 2023 Sep 15.
Article in En | MEDLINE | ID: mdl-37245810
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sci Total Environ Year: 2023 Document type: Article Affiliation country: China Country of publication: Netherlands
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sci Total Environ Year: 2023 Document type: Article Affiliation country: China Country of publication: Netherlands