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Combining Physically-Based Modeling and Deep Learning for Fusing GRACE
  Satellite Data: Can We Learn from Mismatch?

Combining Physically-Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn from Mismatch?

31 January 2019
A. Sun
B. Scanlon
Zizhan Zhang
David Walling
S. Bhanja
A. Mukherjee
Zhi Zhong
    AI4Cl
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Papers citing "Combining Physically-Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn from Mismatch?"

3 / 3 papers shown
Title
Applications of physics-informed scientific machine learning in
  subsurface science: A survey
Applications of physics-informed scientific machine learning in subsurface science: A survey
A. Sun
H. Yoon
C. Shih
Zhi Zhong
AI4CE
29
10
0
10 Apr 2021
70 years of machine learning in geoscience in review
70 years of machine learning in geoscience in review
Jesper Sören Dramsch
VLM
AI4CE
32
160
0
16 Jun 2020
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
239
7,921
0
13 Jun 2015
1