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Using Data Assimilation to Train a Hybrid Forecast System that Combines
  Machine-Learning and Knowledge-Based Components

Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components

15 February 2021
Alexander Wikner
Jaideep Pathak
Brian R. Hunt
I. Szunyogh
M. Girvan
Edward Ott
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Papers citing "Using Data Assimilation to Train a Hybrid Forecast System that Combines Machine-Learning and Knowledge-Based Components"

3 / 3 papers shown
Title
State-space systems as dynamic generative models
State-space systems as dynamic generative models
Juan-Pablo Ortega
Florian Rossmannek
113
1
0
13 Mar 2025
How more data can hurt: Instability and regularization in next-generation reservoir computing
How more data can hurt: Instability and regularization in next-generation reservoir computing
Yuanzhao Zhang
Edmilson Roque dos Santos
Sean P. Cornelius
112
2
0
28 Jan 2025
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation
Chuanqi Chen
Nan Chen
Yinling Zhang
Jin-Long Wu
AI4CE
59
2
0
26 Oct 2024
1