Prediction in ungauged regions with sparse flow duration curves and input-selection ensemble modeling

26 November 2020

Papers citing "Prediction in ungauged regions with sparse flow duration curves and input-selection ensemble modeling"

6 / 6 papers shown

Title
Toward Routing River Water in Land Surface Models with Recurrent Neural Networks Mauricio Lima Katherine Deck Oliver R. A. Dunbar Tapio Schneider AI4CE 28 1 0 22 Apr 2024
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 28 10 0 08 Oct 2023
Differentiable modeling to unify machine learning and physical models and advance Geosciences Chaopeng Shen A. Appling Pierre Gentine Toshiyuki Bandai H. Gupta ... Chris Rackauckas Tirthankar Roy Chonggang Xu Binayak Mohanty K. Lawson AI4CE 44 14 0 10 Jan 2023
Differentiable, learnable, regionalized process-based models with physical outputs can approach state-of-the-art hydrologic prediction accuracy D. Feng Jiangtao Liu K. Lawson Chaopeng Shen BDL AI4CE 18 118 0 28 Mar 2022
Continental-scale streamflow modeling of basins with reservoirs: towards a coherent deep-learning-based strategy Wenyu Ouyang K. Lawson D. Feng L. Ye Chi Zhang Chaopeng Shen AI4TS AI4CE 66 60 0 12 Jan 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015