Simulation of the projected river flow changes using integrated downscaling and Bayesian optimization-tuned kernel-based models
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences,Environmental Chemistry,Environmental Engineering
Link
https://link.springer.com/content/pdf/10.1007/s13762-023-05322-9.pdf
Reference57 articles.
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3. Baghanam AH, Eslahi M, Sheikhbabaei A, Seifi AJ (2020) Assessing the impact of climate change over the northwest of Iran: an overview of statistical downscaling methods. Theoret Appl Climatol 141:1135–1150. https://doi.org/10.1007/s00704-020-03271-8
4. Bai H, Li G, Liu C, Li B, Zhang Z, Qin H (2021) Hydrological probabilistic forecasting based on deep learning and Bayesian optimization algorithm. Hydrol Res 52(4):927–943. https://doi.org/10.2166/nh.2021.161
5. Bayatvarkeshi M, Zhang B, Fasihi R, Adnan RM, Kisi O, Yuan X (2020) Investigation into the effects of climate change on reference evapotranspiration using the HadCM3 and LARS-WG. Water 12(3):666. https://doi.org/10.3390/w12030666
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