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Data Assimilation by Conditioning of Driving Noise on Future Observations
Wonjung Lee, Chris Farmer
Research output
:
Contribution to journal
›
Article
›
peer-review
5
Scopus citations
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Dive into the research topics of 'Data Assimilation by Conditioning of Driving Noise on Future Observations'. Together they form a unique fingerprint.
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Mathematics
Future Observation
100%
Filtering Problem
50%
True State
50%
Designed Approach
50%
Push-Forward
50%
Random Noise
50%
Bayes' Rule
50%
Stochastics
50%
Approximate Solution
50%
Engineering
Filtration
100%
Recursive
50%
One Step
50%
Approximate Solution
50%
Nonlinear Filtering
50%
Bayes Rule
50%
Driven System
50%
State Estimation
50%
Physics
Data Assimilation
100%
Dynamical System
50%
Nonlinear Filtering
50%
Random Noise
50%
State Estimation
50%
Keyphrases
Driving Noise
100%
Pushforward
33%
Recursive Filtering
33%
Sequential Filter
33%
Intermittent Observations
33%