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공공누리This item is licensed Korea Open Government License

Title
The Local Ensemble Transform Kalman Filter (LETKF) with a Global NWP Model on the Cubed Sphere
Author(s)
신설은강지순조영순
Publication Year
2016-04-02
Abstract
We develop an ensemble data assimilation system using the 4-dimensional Local Ensemble Transform Kalman Filter (LEKTF) for a global hydrostatic Numerical Weather Prediction (NWP) model formulated on the cubed-sphere. Forecast-analysis cycles run stably and thus provide newly updated initial states for the model to produce ensemble forecasts every 6 hours. Performance of LETKF implemented to the global NWP model is verified using the ECMWF reanalysis data and conventional observations. Global mean values of bias and root mean square difference are significantly reduced by the data assimilation. Besides, statistics of forecast and analysis converge well as the forecast-analysis cycles are repeated. These results suggest that the combined system of LETKF and the global NWP formulated on the cubed-sphere shows a promising performance for operational uses.
Keyword
Ensemble data assimilation; Local ensemble transform Kalman filter (LEKTF); Numerical weather prediction (NWP); Atmospheric global model (AGM)
Journal Title
Pure and Applied Geophysics
ISSN
0033-4553
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Appears in Collections:
7. KISTI 연구성과 > 학술지 발표논문
URI
https://repository.kisti.re.kr/handle/10580/14504
http://www.ndsl.kr/ndsl/search/detail/article/articleSearchResultDetail.do?cn=NART76208157
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