Approximate Data Assimilation Schemes for Stable and Unstable Dynamics

Author:

Cohn Stephen E.1,Todling Ricardo2

Affiliation:

1. Data Assimilation Office, NASA/Goddard Space Flight Center

2. Universities Space Research Association, NASA/GSFC/DAO

Publisher

Meteorological Society of Japan

Subject

Atmospheric Science

Reference22 articles.

1. Buizza, R., 1994: Sensitivity of optimal unstable structures. Quart. J. Roy. Meteor. Soc., 120, 429-451.

2. da Silva, A., J. Pfaendtner, J. Guo, M. Sienkiewicz and S. E. Cohn, 1995: Assessing the effects of data selection with DAO's physical-space statistical analysis system. Proc. Intl. Symp. on Assimilation of Observations in Meteorology and Oceanography, Tokyo, Japan, WMO, Vol. 1, 273-278.

3. Cohn, S. E. and D. F. Parrish, 1991: The behavior of forecast error covariances for a Kalman filter in two dimensions. Mon. Wea. Rev., 119, 1757-1785.

4. Cohn, S. E. and R. Todling, 1995: Approximate Kalman filters for unstable dynamics. Proc. Intl. Symp. on Assimilation of Observations in Meteorology and Oceanography, Tokyo, Japan, WMO, Vol. 1, 241-246.

5. Courtier, P., 1993: Introduction to numerical weather prediction data assimilation methods. Proc. ECMWF Workshop on Developments in the Use of Satellite Data in Numerical Weather Prediction, 189-207.

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