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

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

26 November 2020
D. Feng
K. Lawson
Chaopeng Shen
    AI4TS
ArXiv (abs)PDFHTML

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

3 / 3 papers shown
Title
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for
  Machine Learning and Process-based Hydrology
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
143
10
0
08 Oct 2023
Differentiable modeling to unify machine learning and physical models
  and advance Geosciences
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
112
15
0
10 Jan 2023
Differentiable, learnable, regionalized process-based models with
  physical outputs can approach state-of-the-art hydrologic prediction accuracy
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
BDLAI4CE
72
121
0
28 Mar 2022
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