Sequential data assimilation with a nonlinear quasi-geostrophic model using Monte Carlo methods to forecast error statistics

Author:

Evensen Geir

Publisher

American Geophysical Union (AGU)

Subject

Paleontology,Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Earth-Surface Processes,Geochemistry and Petrology,Soil Science,Water Science and Technology,Ecology,Aquatic Science,Forestry,Oceanography,Geophysics

Reference28 articles.

1. Brent, R. P., , Algorithms for Minimization Without Derivatives, Prentice-Hall, Englewood Cliffs, N. J., 1973,

2. Nonlinear data assimilation for shallow water equations in branched channels;Budgell;J. Geophys. Res.,1986

3. Dynamics of short term univariate forecast error covariances;Cohn;Mon. Weather Rev.,1993

4. Simplification of the Kalman filter for meteorological data assimilation;Dee;Q. J. R. Meteorol. Soc.,1991

5. Delcroix, J. L., , Plasma Physics, , 1, John Wiley, New York, 1968,

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