Abstract
This paper outlines the basic concept and mathematical formulation of the Local Ensemble Kalman Filter (LEKF, Ott et al. 2002 and 2003) data assimilation scheme. Some important properties of the scheme are illustrated by numerical experiments with the Lorenz-96 model. Initial implementations of the LEKF on the National Centers for Environmental Prediction Global Forecast System (NCEP GFS) are discussed. Tests of these implementations under the perfect model hypothesis are conducted.
Original language | English (US) |
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Pages (from-to) | 67-77 |
Number of pages | 11 |
Journal | Bulletin of the American Meteorological Society |
State | Published - Jun 1 2004 |
Event | Combined Preprints: 84th American Meteorological Society (AMS) Annual Meeting - Seattle, WA., United States Duration: Jan 11 2004 → Jan 15 2004 |
ASJC Scopus subject areas
- Atmospheric Science