| Year of Publication | 2004 | Division | Forecast Research Division |
|---|---|---|---|
| Title | A Three Dimensional Cloud Analysis for Diabatic Initialization of Mesoscale Model and its Impact Study | ||
| Author | 김용상(Yong-Sang Kim) | ||
| Coauthor | 조천호(Chun-Ho Cho), 박옥란(Oak-Ran Park) | ||
| ISBN(ISSN) | 1976-7633 | Name of Journal | Asia-Pacific Journal of Atmospheric Sciences |
| Category (International/Domestic) | 국내 | Vol. No. | 40(5) |
| Research Project Title | 한반도 악기상 (집중호우 등) 감시 및 예측 기술 개발 | Publication Date | |
| Keywords | cloud analysis, diabatic initialization, mesoscale model, KLAPS, MM5, liquid water species, dynamic balance constraint, POD | ||
KLAPS (Korea Local Analysis and Prediction System) is used to improve the initial values of liquid water species (cloud water, cloud ice, rain water, snow, and graupel) in the MM5 (fifth-generation of Mesoscale Model). For retrieving liquid water species, three dimensional cloud analysis is carried out using KLAPS based on satellite data, radar data, and surface observation data. The retrieved variables are assimilated into an initial condition for MM5 with a dynamic balance constraint in order to eliminate a problem of underestimating rainfall amount of MM5 run. Results show that the performance of precipitation forecast is improved by assimilating these variables (HOT experiment), compared to COLD experiment (i.e. an experiment without assimilating the retrieved variables). Considering the statistical verification of POD (Probability of Detection) from several rainfall case studies, the HOT experiment showed significant improvement during the first 6 hour forecasts compared to the COLD experiment.
