Assessing the Performance of a Machine Learning-Based Hybrid Model in Downscaling Precipitation Data
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-2948-9_23
Reference11 articles.
1. Xu R, Chen N, Chen Y, Chen Z (2020) Downscaling and projection of multi-CMIP5 precipitation using machine learning methods in the Upper Han River basin. Adv Meteorol
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3. Cateni S, Vannucci M, Vannocci M, Coll V (2013) Variable selection and feature extraction through artificial intelligence techniques. Multivar Anal Manag Eng Sci
4. Campozano L, Tenelanda D, Sanchez E, Samaniego E, Feyen J (2016) Comparison of statistical downscaling methods for monthly total precipitation: case study for the Paute River basin in Southern Ecuador. Adv Meteorol
5. Nourani V, Rouzegari N, Molajou A, Hosseini Baghanam A (2020) An integrated simulation-optimization framework to optimize the reservoir operation adapted to climate change scenarios J Hydrol 587:125018
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