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22대 대한민국 국회 국회정보길라잡이 국회의원검색
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The global weather prediction model, Korean Integrated Model (KIM), has been in operation since April 2020 by the Korea Meteorological Administration. This study assessed the performance of heat waves (HWs) in Korea in 2020. Case experiments during 2018–2020 were conducted to support the reliability of assessment, and the factors which affect predictability of the HWs were analyzed. Simulated expansion and retreat of the Tibetan High and North Pacific High during the 2020 HW had a good agreement with the analysis. However, the model showed significant cold biases in the maximum surface temperature. It was found that the temperature bias was highly related to underestimation of downward shortwave radiation at surface, which was linked to cloudiness. KIM tended to overestimate nighttime clouds that delayed the dissipation of cloud in the morning, which affected the shortage of downward solar radiation. The vertical profiles of temperature and moisture showed that cold bias and trapped moisture in the lower atmosphere produce favorable conditions for cloud formation over the Yellow Sea, which affected overestimation of cloud in downwind land. Sensitivity test was performed to reduce model bias, which was done by modulating moisture mixing parameter in the boundary layer scheme. Results indicated that the daytime temperature errors were reduced by increase in surface solar irradiance with enhanced cloud dissipation. This study suggested that not only the synoptic features but also the accuracy of low-level temperature and moisture condition played an important role in predicting the maximum temperature during the HWs in medium-range forecasts.

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한국형수치예보모델 자료동화에서 위성 복사자료 관측오차 진단 및 영향 평가 = Diagnostics of observation error of satellite radiance data in Korean integrated model (KIM) data assimilation system 김혜영, 강전호, 권인혁 p. 263-276

한국형수치예보모델 KIM의 폭염 예측 성능 검증 = Evaluation of heat waves predictability of Korean integrated model 정지영, 이은희, 박혜진 p. 277-295

Seasonal prediction of Korean surface temperature in July and February based on Arctic Sea ice reduction Wookap Choi, Young-Ah Kim p. 297-306

드론을 활용한 한반도 서해 연안의 해무 연직구조 분석 = Analysis on vertical structure of sea fog in the west coast of the Korean Peninsula by using drone 전혜림, 박미은, 이승협, 박미르, 이용희 p. 307-322

인천 공항 주변 고해상도 항공기 추적 정보 기반의 바람 관측자료 생산 및 품질 검증 = Retrieval and quality assessment of atmospheric winds from the aircraft-based observation near Incheon International Airport, Korea 김정민, 김정훈 p. 323-340

수치모델을 이용한 인공증우에 따른 PM10 저감효과 분석 = Analysis of PM10 reduction effects with artificial rain enhancement using numerical models 임윤규, 김부요, 장기호, 차주완, 이용희 p. 341-351

한반도 겨울철 강수 유형에 따른 전지구 수치모델(GRIMs) 예측성능 검증 = Evaluation of predictability of global/regional integrated model system (GRIMs) for the winter precipitation systems over Korea 연상훈, 서명석, 이주원, 이은희 p. 353-365

기상청 기후예측시스템(GloSea6) 과거기후 예측장의 앙상블 확대와 초기시간 변화에 따른 예측 특성 분석 = Assessment of the prediction derived from larger ensemble size and different initial dates in GloSea6 hindcast 김지영, 박연희, 지희숙, 현유경, 이조한 p. 367-379

기상청 국가태풍센터의 태풍 베스트트랙 생산체계 소개 = Algorithms for determining Korea Meteorological Administration (KMA)’s official typhoon best tracks in the National Typhoon Center 김진연, 황승언, 김성수, 오임용, 함동주 p. 381-394

기상청 GloSea의 위성관측 기반 토양수분(SMAP) 동화 : Assimilation of satellite-based soil moisture (SMAP) in KMA GloSea6 : the results of the first preliminary experiment / 예비 실험 분석 지희숙, 황승언, 이조한, 현유경, 류영, 부경온 p. 395-409

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