Bias-correction data of IFS rainfall forecasts for hydrological and hydraulic models to forecast flood events
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences,General Environmental Science
Link
https://link.springer.com/content/pdf/10.1007/s12517-022-10801-3.pdf
Reference69 articles.
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2. Abbott MB, Bathurst JC, Cunge JA, O’connell PE, Rasmussen J (1986) An introduction to the European hydrological system Systeme Hydrologique Europeen, “SHE”, Structure of a physically-based, distributed modelling system. J Hydrol 87:61–77. https://doi.org/10.1016/0022-1694(86)90115-0
3. Annis A, Nardi F (2019) Integrating VGI and 2D hydraulic models into a data assimilation framework for real time flood forecasting and mapping. Geo-Spatial Inf Sci 22(4):223–236. https://doi.org/10.1080/10095020.2019.1626135
4. Arora A, Arabameri A, Pandey M, Siddiqui MA, Shukla UK, Bui DT, Mishra VN, Bhardwaj A (2020) Optimization of state-of-the-art fuzzy-metaheuristic ANFIS based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India. Sci Total Environ 141565. https://doi.org/10.1016/j.scitotenv.2020.141565
5. Bates PD, De Roo APJ (2000) A simple raster-based model for flood inundation simulation. J Hydrol 236:54–77. https://doi.org/10.1016/S0022-1694(00)00278-X
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