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Accelerating the spin-up of Ensemble Kalman filtering
Eugenia Kalnay,
Shu Chih Yang
Center for GPS Science and Application Research
Department of Atmospheric Sciences
Research output
:
Contribution to journal
›
Letter
›
peer-review
78
Scopus citations
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Keyphrases
Ensemble Kalman Filter (EnKF)
100%
Spin-up
100%
3DVAR
27%
Running in Place
27%
Local Ensemble Transform Kalman Filter (LETKF)
27%
4D-Var
18%
Initial Perturbation
18%
Radar Observations
9%
Ensemble Mean
9%
Hurricanes
9%
Uniform Distribution
9%
Information Extraction
9%
Background Error Covariance
9%
Quasigeostrophic Models
9%
Variational Methods
9%
Order of Accuracy
9%
Heuristic Scheme
9%
Fewer Iterations
9%
Uniform Noise
9%
Regional Prediction
9%
Ensemble Smoother
9%
Severe Storms
9%
Physics
Covariance
100%
Radar Tracking
100%
Mathematics
Kalman Filtering
100%
True State
14%
Error Covariance
14%
Variational Method
14%
Uniform Distribution
14%
Asymptotic Level
14%
Earth and Planetary Sciences
Kalman Filter
100%
Radar Tracking
16%
Covariance
16%
Storm
16%