논문 상세보기

평창 지역 기상예측에 대한 다중모델 앙상블의 보정 KCI 등재

A Calibration of Multi-model Ensemble for Weather Prediction of PyeongChang Area

  • 언어KOR
  • URLhttps://db.koreascholar.com/Article/Detail/347700
  • DOIhttps://doi.org/10.14383/cri.2017.12.4.337
서비스가 종료되어 열람이 제한될 수 있습니다.
기후연구 (Journal of Climate Research)
건국대학교 기후연구소 (KU Climate Research Institute)
초록

In this study, a weighted ensemble method of numerical weather prediction by ensemble models is applied for PyeongChang area. The post-processing method takes into account combination and calibration of forecasts from different numerical models, assigning greater weight to ensemble models that exhibit the better performance. Three different numerical models, including European Center Medium-Range Weather Forecast, Ensemble Prediction System for Global, and Limited Area Ensemble Prediction System, were used to perform the post-processing method. We compared the model outputs from the weighed combination of ensembles with those from the Ensemble Model Output Statistics (EMOS) model for each raw ensemble model. The results showed that the weighted ensemble method can significantly improve the post-processing performance, compared to the raw ensemble method of the numerical models.

목차
1. 서론
 2. 자료 및 방법
  1) 자료
  2) 연구방법
 3. 연구결과
 4. 요약 및 결론
 사사
 References
저자
  • 김찬수(공주대학교 응용수학과, Department of Applied Mathematics, Kongju National University) | Chansoo Kim Correspondence