본 연구에서는 3차원 바람장 생성을 위한 수치 모델의 상층기상 입력 자료로 윈드프로파일러 자료의 적용 가능성과 유용성을 조사했다. 10개 지점의 윈드프로파일러 자료와 기상 예측 모델 WRF의 결과를 기상진단 모델 CALMET에 입력하여 산출한 바람장을 8개 지역에서 관측된 라디오존데 자료와 통계적으로 비교 검증하였다. WRF 바람장 모의 결과를 CALMET에 적용하여 모의한 수평 풍속에 비해 1시간 간격의 윈드프로파일러 자료를 CALMET에 적용하여 모의한 수평 풍속이 평균 제곱근 오차 1.5 m/s 내에서 관측 결과와 일치하고 특히 연안 지역에서 해풍과 같은 국지적인 바람 변화를 잘 모의하였다. 풍향의 평균 제곱근 오차는 50° ~ 70°로써 지형의 영향으로 오염된 윈드프로파일러의 풍향 오차에 기인한다. 윈드프로파일러 자료를 CALMET에 적용하면 대부분의 고도에서 상대적으로 정확한 바람을 신속하고 정확하게 모의할 수 있기 때문에 본 연구에서 제시하는 방법은 연안 지역의 기상뿐만 아니라 안전 환경감시에 유용할 것으로 기대된다.

High-resolution meteorological simulations were conducted using a Weather Research and Forecasting (WRF) model with an Urban Canopy Model (UCM) in the Ulsan Metropolitan Region (UMR) where large-scale industrial facilities are located on the coast. We improved the land cover input data for the WRF-UCM by reclassifying the default urban category into four detailed areas (low and high-density residential areas, commercial areas, and industrial areas) using subdivided data (class 3) of the Environmental and Geographical Information System (EGIS). The urban area accounted for about 12% of the total UMR and the largest proportion (47.4%) was in the industrial area. Results from the WRF-UCM simulation in a summer episode with high temperatures showed that the modeled temperatures agreed greatly with the observations. Comparison with a standard WRF simulation (WRF-BASE) indicated that the temporal and spatial variations in surface air temperature in the UMR were properly captured. Specifically, the WRF-UCM reproduced daily maximum and nighttime variations in air temperature very well, indicating that our model can improve the accuracy of temperature simulation for a summer heatwave. However, the WRF-UCM somewhat overestimated wind speed in the UMR largely due to an increased air temperature gradient between land and sea.

The Weather Research and Forecasting (WRF) model and Vegetation Photosynthesis and Respiration Model (VPRM) were coupled to simulate atmospheric CO2 concentrations. The performance of the WRF-VPRM to simulate regional scale CO2 concentration was estimated over coastal basin areas. Either Hestia 2011(HST) or Vulcan 2002(VUL) anthropogenic CO2 emission data were used in two numerical experiments for the study regions. Simulated meteorological variables were validated with ground and background CO2 measurement data, and the results show that the model captured temporal variations of CO2 concentration on a daily basis. CO2 directional analysis revealed that the dominant CO2 emission sources are located S and SW. The simulated Net Ecosystem Exchange (NEE) agreed relatively well with measured CO2 fluxes at each vegetation class site, showing approximately 40% at max improvement at shrub areas.

The two-stage numerical model was used to study the relation between three-dimensional local wind model, advection/diffusion model of random walk method and second moment method in western coastal area for Korean peninsula. The first stage is three dimensional time-dependent local wind model which gives the wind field and vertical diffusion coefficient. The second stage is advection/diffusion model which uses the results of the first stage as input data. First, wind fields on Korean peninsula for none synoptic scale wind showed typical land and sea breeze circulation, and the emitted particles were transported by sea breeze for daytime, emissions return to sea by land breeze for nighttime.