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Test models for filtering with superparameterization
John Harlim
, Andrew J. Majda
Mathematics
Research output
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Contribution to journal
›
Article
›
peer-review
16
Scopus citations
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Dive into the research topics of 'Test models for filtering with superparameterization'. Together they form a unique fingerprint.
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Mathematics
Filtering
100%
Skills
66%
Controllability
39%
Model Error
38%
Model
32%
Dynamical system
21%
Averaging Theory
19%
Observation
18%
Kalman Filter
17%
Term
15%
Fast Algorithm
14%
Forcing
14%
Justify
14%
Numerical Algorithms
13%
Truncation
13%
Filter
12%
Counterexample
12%
Prediction
11%
Closure
11%
Grid
11%
Cell
10%
Simulation
9%
Demonstrate
8%
Earth & Environmental Sciences
model test
99%
eddy
60%
Kalman filter
15%
prediction
7%
energy
6%
simulation
6%
effect
3%
Chemical Compounds
Filtration
86%
Dynamical System
43%
Error
21%
Force
9%
Simulation
9%
Energy
6%
Physics & Astronomy
vortices
33%
controllability
32%
dynamical systems
18%
Kalman filters
11%
closures
8%
energy spectra
7%
grids
7%
filters
6%
cells
4%
predictions
4%
approximation
4%
simulation
3%
Engineering & Materials Science
Controllability
39%
Fluxes
30%
Dynamical systems
20%
Kalman filters
11%