Data Assimilation Using an Ensemble Kalman Filter Technique (1998)
by
P. L. Houtekamer
,
Herschel L. Mitchell
,
L. Mitchell
| Citations: | 131 - 4 self |
BibTeX
@MISC{Houtekamer98dataassimilation,
author = {P. L. Houtekamer and Herschel L. Mitchell and L. Mitchell},
title = {Data Assimilation Using an Ensemble Kalman Filter Technique},
year = {1998}
}
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Abstract
The possibility of performing data assimilation using the flow-dependent statistics calculated from an ensemble of short-range forecasts (a technique referred to as ensemble Kalman filtering) is examined in an idealized environment. Using a three-level, quasigeostrophic, T21 model and simulated observations, experiments are performed in a perfect-model context. By using forward interpolation operators from the model state to the observations, the ensemble Kalman filter is able to utilize nonconventional observations.
