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WRF 모형에서의 적운모수화 사용 여부에 따른 여름철 남한 지역 집중호우 모의 민감도 분석 KCI 등재

Sensitivity Analysis of Cumulus Parameterization in WRF Model for Simulating Summer Heavy Rainfall in South Korea

  • 언어KOR
  • URLhttps://db.koreascholar.com/Article/Detail/405459
  • DOIhttps://doi.org/10.14383/cri.2020.15.4.243
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기후연구 (Journal of Climate Research)
건국대학교 기후연구소 (KU Climate Research Institute)
초록

In this study, the impact of cumulus parameterization usage in Weather Research and Forecasting (WRF) model on reproducing summer precipitation in South Korea is evaluated. Two sensitivity experiments are set up with using cumulus parameterization (ON experiment) and without using cumulus parameterization, which is called Convection Permitting Model (OFF experiment). For the both ON and OFF experiments, the horizontal grid resolution is 2.5km, and initial and lateral boundary conditions are derived from ERA5 reanalysis data. Overall, both of the two experiments can capture the spatial distribution of 2014 summer mean and extreme precipitation but show dry biases in the southern region of Korean Peninsula. Occurrence percentage analyses for different precipitation intensity reveal that OFF experiments show better performance than ON experiment for extreme precipitation. In the case of heavy rainfall over Gyeongnam region for 25 August 2014, OFF experiment shows similar characteristic of rainfall to the observations, although it simulates earlier precipitation peak. On the other hand, ON experiment underestimates the amount of precipitation. Also, vertical distribution of equivalent potential temperature and strong southerly wind which play an important role in developing heavy rainfall on 25 August 2014 are better simulated in OFF experiment.

목차
Abstract
1. 서론
2. 자료 및 방법
3. 결과
    1) 2014년 여름철 강수에 대한 모의성능
    2) 2014년 8월 25일 경남 집중호우 사례에 대한모의성능
4. 결론
Reference
저자
  • 안중배(부산대학교 지구환경시스템학부) | Joong-Bae Ahn (Division of Earth Environmental System, Pusan National University) Correspondence
  • 서가영(부산대학교 지구환경시스템학부) | Ga-Yeong Seo (Division of Earth Environmental System, Pusan National University)