Choosing the optimal numerical precision for data assimilation in the presence of model error
The use of reduced numerical precision within an atmospheric data assimilation system is investigated. An atmospheric model with a spectral dynamical core is used to generate synthetic observations, which are then assimilated back into the same model using an ensemble Kalman filter. The effect on th...
| Κύριοι συγγραφείς: | , , , , , |
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| Μορφή: | Journal article |
| Έκδοση: |
American Geophysical Union
2018
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