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Enhancing streamflow forecast and extracting insights using long-short
  term memory networks with data integration at continental scales
v1v2v3 (latest)

Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales

18 December 2019
D. Feng
K. Fang
Chaopeng Shen
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales"

21 / 21 papers shown
Title
Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems: An application on Hydrological Systems
Hierarchically Disentangled Recurrent Network for Factorizing System Dynamics of Multi-scale Systems: An application on Hydrological Systems
Rahul Ghosh
Zac McEachran
Arvind Renganathan
Kelly Lindsay
Somya Sharma
M. Steinbach
John L. Nieber
Christopher J. Duffy
Vipin Kumar
AI4CEBDL
67
0
0
29 Jul 2024
Toward Routing River Water in Land Surface Models with Recurrent Neural
  Networks
Toward Routing River Water in Land Surface Models with Recurrent Neural Networks
Mauricio Lima
Katherine Deck
Oliver R. A. Dunbar
Tapio Schneider
AI4CE
65
1
0
22 Apr 2024
Towards Interpretable Physical-Conceptual Catchment-Scale Hydrological
  Modeling using the Mass-Conserving-Perceptron
Towards Interpretable Physical-Conceptual Catchment-Scale Hydrological Modeling using the Mass-Conserving-Perceptron
Yuan-Heng Wang
Hoshin V. Gupta
AI4CE
153
3
0
25 Jan 2024
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of
  Geoscientific Systems
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of Geoscientific Systems
Yuan-Heng Wang
Hoshin V. Gupta
AI4CE
94
6
0
12 Oct 2023
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
Probing the limit of hydrologic predictability with the Transformer
  network
Probing the limit of hydrologic predictability with the Transformer network
Jiangtao Liu
Yuchen Bian
Chaopeng Shen
AI4TS
49
10
0
21 Jun 2023
Temporal Fusion Transformers for Streamflow Prediction: Value of
  Combining Attention with Recurrence
Temporal Fusion Transformers for Streamflow Prediction: Value of Combining Attention with Recurrence
Sinan Rasiya Koya
Tirthankar Roy
AI4TS
28
28
0
21 May 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
110
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
Earthquake Nowcasting with Deep Learning
Earthquake Nowcasting with Deep Learning
Geoffrey C. Fox
John B. Rundle
A. Donnellan
Bo Feng
AI4ClAI4CE
60
8
0
18 Dec 2021
Flood forecasting with machine learning models in an operational
  framework
Flood forecasting with machine learning models in an operational framework
Sella Nevo
E. Morin
Adi Gerzi Rosenthal
Asher Metzger
Chen Barshai
...
Yuval Levin
Zach Moshe
Z. Ben-Haim
Avinatan Hassidim
Yossi Matias
AI4CE
37
134
0
04 Nov 2021
Robust Inverse Framework using Knowledge-guided Self-Supervised
  Learning: An application to Hydrology
Robust Inverse Framework using Knowledge-guided Self-Supervised Learning: An application to Hydrology
Rahul Ghosh
Arvind Renganathan
Kshitij Tayal
Xiang Li
A. Khandelwal
X. Jia
C. Duffy
J. Neiber
Vipin Kumar
113
23
0
14 Sep 2021
Machine Learning for Postprocessing Ensemble Streamflow Forecasts
Machine Learning for Postprocessing Ensemble Streamflow Forecasts
Sanjib Sharma
G. Ghimire
Ridwan Siddique
AI4Cl
53
15
0
15 Jun 2021
Enhancing predictive skills in physically-consistent way: Physics
  Informed Machine Learning for Hydrological Processes
Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes
Pravin Bhasme
Jenil Vagadiya
Udit Bhatia
AI4CE
40
67
0
22 Apr 2021
Continental-scale streamflow modeling of basins with reservoirs: towards
  a coherent deep-learning-based strategy
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
AI4TSAI4CE
120
62
0
12 Jan 2021
The data synergy effects of time-series deep learning models in
  hydrology
The data synergy effects of time-series deep learning models in hydrology
K. Fang
Daniel Kifer
K. Lawson
D. Feng
Chaopeng Shen
AI4CE
127
81
0
06 Jan 2021
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling
Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling
D. Klotz
Frederik Kratzert
M. Gauch
A. Sampson
Günter Klambauer
Sepp Hochreiter
G. Nearing
BDLUQCV
69
112
0
15 Dec 2020
Physics Guided Machine Learning Methods for Hydrology
Physics Guided Machine Learning Methods for Hydrology
A. Khandelwal
Shaoming Xu
Xiang Li
X. Jia
M. Steinbach
C. Duffy
John L. Nieber
Vipin Kumar
AI4CE
53
38
0
02 Dec 2020
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
D. Feng
K. Lawson
Chaopeng Shen
AI4TS
48
76
0
26 Nov 2020
From calibration to parameter learning: Harnessing the scaling effects
  of big data in geoscientific modeling
From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling
W. Tsai
D. Feng
M. Pan
H. Beck
K. Lawson
Yuan Yang
Jiangtao Liu
Chaopeng Shen
AI4CE
133
189
0
30 Jul 2020
Data-driven geophysics: from dictionary learning to deep learning
Data-driven geophysics: from dictionary learning to deep learning
Siwei Yu
Jianwei Ma
AI4CE
66
8
0
13 Jul 2020
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