Using Improved Background-Error Covariances from an Ensemble Kalman Filter for Adaptive Observations
Author:
Publisher
American Meteorological Society
Subject
Atmospheric Science
Link
http://journals.ametsoc.org/doi/pdf/abs/10.1175/1520-0493%282002%29130%3C1552%3AUIBECF%3E2.0.CO%3B2
Reference52 articles.
1. An Ensemble Adjustment Kalman Filter for Data Assimilation
2. A Monte Carlo Implementation of the Nonlinear Filtering Problem to Produce Ensemble Assimilations and Forecasts
3. Singular vectors and estimates of the analysis-error covariance metric
4. Influence of the assimilation scheme on the efficiency of adaptive observations
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