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Coordinate-Transformed Dynamic Mode Decomposition for Short-Term Rainfall ForecastingZheng, Shitao ; Miyamoto, Takashi ; Shimizu, Shingo ; Kato, Ryohei ; Iwanami, KoyuruIEEE transactions on geoscience and remote sensing, 2024, Vol.62, p.1-17 [Periódico revisado por pares]New York: IEEETexto completo disponível |
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A hybrid approach of artificial neural network and multiple regression to forecast typhoon rainfall and groundwater-level changeHsieh, Ping-Cheng ; Tong, Wei-An ; Wang, Yung-ChiehHydrological sciences journal, 2019-10, Vol.64 (14), p.1793-1802 [Periódico revisado por pares]Abingdon: Taylor & FrancisTexto completo disponível |
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Material Type: Artigo
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Predictor selection method for the construction of support vector machine (SVM)‐based typhoon rainfall forecasting models using a non‐dominated sorting genetic algorithmYang, Tao‐Chang ; Yu, Pao‐Shan ; Lin, Kun‐Hsiang ; Kuo, Chen‐Min ; Tseng, Hung‐WeiMeteorological applications, 2018-10, Vol.25 (4), p.510-522 [Periódico revisado por pares]Chichester, UK: John Wiley & Sons, LtdTexto completo disponível |
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Material Type: Artigo
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Incorporating large-scale atmospheric variables in long-term seasonal rainfall forecasting using artificial neural networks: an application to the Ping Basin in ThailandBabel, M. S. ; Sirisena, T. A. J. G. ; Singhrattna, N.Hydrology Research, 2017-06, Vol.48 (3), p.867-882 [Periódico revisado por pares]London: IWA PublishingTexto completo disponível |
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Material Type: Artigo
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Typhoon Rainfall Forecasting by Means of Ensemble Numerical Weather Predictions with a GA-Based Integration StrategyWu, Ming-Chang ; Yang, Sheng-Chi ; Yang, Tsun-Hua ; Kao, Hong-MingAtmosphere, 2018-11, Vol.9 (11), p.425 [Periódico revisado por pares]Basel: MDPI AGTexto completo disponível |
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Material Type: Artigo
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Skilful precipitation nowcasting using deep generative models of radarRavuri, Suman ; Lenc, Karel ; Willson, Matthew ; Kangin, Dmitry ; Lam, Remi ; Mirowski, Piotr ; Fitzsimons, Megan ; Athanassiadou, Maria ; Kashem, Sheleem ; Madge, Sam ; Prudden, Rachel ; Mandhane, Amol ; Clark, Aidan ; Brock, Andrew ; Simonyan, Karen ; Hadsell, Raia ; Robinson, Niall ; Clancy, Ellen ; Arribas, Alberto ; Mohamed, ShakirNature (London), 2021-09, Vol.597 (7878), p.672-677 [Periódico revisado por pares]England: Nature Publishing GroupTexto completo disponível |
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Material Type: Artigo
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A Rainfall‐Runoff Model With LSTM‐Based Sequence‐to‐Sequence LearningXiang, Zhongrun ; Yan, Jun ; Demir, IbrahimWater resources research, 2020-01, Vol.56 (1), p.n/a [Periódico revisado por pares]Washington: John Wiley & Sons, IncTexto completo disponível |
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Material Type: Artigo
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Applicability of Simulated Precipitation for the Rainfall Flood Forecasting in the Amur BasinVerbitskaya, E. M. ; Ageeva, S. V. ; Gonchukov, L. V. ; Romanskii, S. O.Russian meteorology and hydrology, 2024, Vol.49 (1), p.17-24 [Periódico revisado por pares]Moscow: Pleiades PublishingTexto completo disponível |
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Material Type: Artigo
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Skilful nowcasting of extreme precipitation with NowcastNetZhang, Yuchen ; Long, Mingsheng ; Chen, Kaiyuan ; Xing, Lanxiang ; Jin, Ronghua ; Jordan, Michael I ; Wang, JianminNature (London), 2023-07, Vol.619 (7970), p.526-532 [Periódico revisado por pares]England: Nature Publishing GroupTexto completo disponível |
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Material Type: Artigo
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Flash Flood and Extreme Rainfall Forecast through One-Way Coupling of WRF-SMAP Models: Natural Hazards in Rio de Janeiro Stateda Cunha Luz Barcellos, Priscila ; Cataldi, MarcioAtmosphere, 2020-08, Vol.11 (8), p.834 [Periódico revisado por pares]Basel: MDPI AGTexto completo disponível |