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Huang, Xinxing (author), Li, Yifan (author), Tian, Zhan (author), Ye, Qinghua (author), Ke, Q. (author), Fan, Dongli (author), Mao, Ganquan (author), Chen, Aifang (author), Liu, Junguo (author)Efficient and accurate streamflow predictions are important for urban water management. Data-driven models, especially neural network (NN) models can predict streamflow fast, while the results are uncertain in some complex river systems. Physically based models can reveal the underlying physics, but it is relatively slow and computationally...journal article 2021
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Menenti, M. (author), Li, X. (author), Wang, J. (author), Vereecken, H. (author), Li, J. (author), Mancini, M. (author), Liu, Q. (author), Jia, L. (author), Li, J. (author), Kuenzer, C. (author), Huang, S. (author), Yesou, H. (author), Wen, J. (author), Kerr, Y. (author), Cheng, X. (author), Gourmelen, N. (author), Ke, C. (author), Ludwig, R. (author), Lin, H. (author), Eineder, M. (author), Ma, Y. (author), Su, Z.B. (author)Ten Dragon 3 projects deal with hydrologic and cryosphere processes, with a focus on the Himalayas and Qinghai – Tibet Plateau, but not limited to that. At the 1st Dragon 3 Progress Symposium in 2013 a significant potential for a better and deeper integration appeared very clearly and we worked out an overview of the ten projects identifying...conference paper 2015