Streamflow prediction in ungauged basins: benchmarking the efficiency of deep learning

• Published in: E3S Web of Conferences
• Main Authors: Ayzel Georgy, Kurochkina Liubov, Kazakov Eduard, Zhuravlev Sergei
• Format: Article in Journal/Newspaper
• Language: English; French
• Published: EDP Sciences 2020
• Subjects: envir; geo; Nash; Sutcliffe; Northwest Russia
• Online Access: https://doi.org/10.1051/e3sconf/202016301001; https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/23/e3sconf_vc2020_01001.pdf; https://doaj.org/article/a65b16135d1f4b36a851896dc39349a5

Streamflow prediction is a vital public service that helps to establish flash-flood early warning systems or assess the impact of projected climate change on water management. However, the availability of streamflow observations limits the utilization of the state-of-the-art streamflow prediction te...