Forecast of streamflows to the Arctic Ocean by a Bayesian neural network model with snowcover and climate inputs

• Published in: Hydrology Research
• Main Authors: Kabir Rasouli, Bouchra R. Nasri, Armina Soleymani, Taufique H. Mahmood, Masahiro Hori, Ali Torabi Haghighi
• Format: Article in Journal/Newspaper
• Language: English
• Published: IWA Publishing 2020
• Subjects: arctic ocean; bayesian neural network; climate teleconnections; mackenzie river basin; snowcover extent; streamflow forecast; River; lake; and water-supply engineering (General); TC401-506; Physical geography; GB3-5030; Arctic; Arctic Ocean; Canada; Mackenzie River; Nash; Sutcliffe; Mackenzie river
• Online Access: https://doi.org/10.2166/nh.2020.164; https://doaj.org/article/f2b9cf0087cd4bce87e616c017a6181f

Increasing water flowing into the Arctic Ocean affects oceanic freshwater balance, which may lead to the thermohaline circulation collapse and unpredictable climatic conditions if freshwater inputs continue to increase. Despite the crucial role of ocean inflow in the climate system, less is known ab...