• 제목/요약/키워드: Models-3/CMAQ

검색결과 21건 처리시간 0.037초

국가 대기질 예보 시스템의 모델링(기상 및 대기질) 계산속도 향상을 위한 전산환경 최적화 방안 (Optimization of the computing environment to improve the speed of the modeling (WRF and CMAQ) calculation of the National Air Quality Forecast System)

  • 명지수;김태희;이용희;서인석;장임석
    • 한국환경과학회지
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    • 제27권8호
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    • pp.723-735
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    • 2018
  • In this study, to investigate an optimal configuration method for the modeling system, we performed an optimization experiment by controlling the types of compilers and libraries, and the number of CPU cores because it was important to provide reliable model data very quickly for the national air quality forecast. We were made up the optimization experiment of twelve according to compilers (PGI and Intel), MPIs (mvapich-2.0, mvapich-2.2, and mpich-3.2) and NetCDF (NetCDF-3.6.3 and NetCDF-4.1.3) and performed wall clock time measurement for the WRF and CMAQ models based on the built computing resources. In the result of the experiment according to the compiler and library type, the performance of the WRF (30 min 30 s) and CMAQ (47 min 22 s) was best when the combination of Intel complier, mavapich-2.0, and NetCDF-3.6.3 was applied. Additionally, in a result of optimization by the number of CPU cores, the WRF model was best performed with 140 cores (five calculation servers), and the CMAQ model with 120 cores (five calculation servers). While the WRF model demonstrated obvious differences depending on the number of CPU cores rather than the types of compilers and libraries, CMAQ model demonstrated the biggest differences on the combination of compilers and libraries.

Models-3/CMAQ을 이용한 동북아지역 가스상 및 입자상 오염물질 분포 특성 조사 (Investigation of Gaseous and Particulate Pollutants Distribution over Northeast Asia Using Models-3/CMAQ)

  • 김진영;김영성;원재광;윤순창;우정헌
    • 한국대기환경학회:학술대회논문집
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    • 한국대기환경학회 2003년도 춘계학술대회 논문집
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    • pp.131-132
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    • 2003
  • 동북아시아 지역은 전세계에서 대기오염물질의 배출이 가장 많은 지역 중의 하나로서, 최근에는 중국에서 발생한 황사가 태평양을 건너 미국에까지 도달하는 것이 위성으로 관측됨으로써 아시아뿐만 아니라 전세계의 관심이 집중되고 있는 지역이다. 본 연구에서는 동북아시아 지역을 대상으로 기류이동의 변화에 따라 대기오염물질의 분포가 어떻게 달라지는가를 보고자 하였으며, 가스상 반응만 고려한 경우와 입자상 반응을 함께 고려한 경우의 대기오염 물질의 농도를 비교함으로써 입자상 반응의 영향이 어떻게 나타나는가를 살펴보는데 초점을 두었다. (중략)

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팔당호 유역에 대한 질소와 황의 건식 침적량 추정 (Estimation of Nitrogen and Sulfur Dry Deposition over the Watershed of Lake Paldang)

  • 김진영;김영성;원재광;윤순창;우정헌;조규탁
    • 한국대기환경학회지
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    • 제21권1호
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    • pp.49-62
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    • 2005
  • Lake Paldang is a main resource of drinking water for 20 million people in the greater Seoul area. Dry deposition amounts of nitrogen and sulfur were estimated for three typical days in each season over the watershed of Lake Paldang. Models- 3/CMAQ (Community Multiscale Air Quality) and MM5 (Mesoscale Model) were used to predict air quality and meteorology, respectively. Aerosols as well as gaseous pollutants were considered. Nitrogen was mainly deposited in the form of HNO, while most of sulfur was deposited in the form of SO$_2$. Contribution of secondary pollutants was the largest in fall since they were transported from the greater Seoul area. However, contribution of secondarily-formed particulate pollutants to the nitrogen deposition was the largest in winter because semi-volatile ammonium nitrate favors lower temperature. Annual deposition amounts of nitrogen and sulfur were 37% and 26% of their emission amounts, respectively, over the watershed of Lake Paldang. Higher value of the nitrogen deposition showed a more influence of pollutants emitted in the greater Seoul area.

Urban Air Quality Model Inter-Comparison Study (UMICS) for Improvement of PM2.5 Simulation in Greater Tokyo Area of Japan

  • Shimadera, Hikari;Hayami, Hiroshi;Chatani, Satoru;Morikawa, Tazuko;Morino, Yu;Mori, Yasuaki;Yamaji, Kazuyo;Nakatsuka, Seiji;Ohara, Toshimasa
    • Asian Journal of Atmospheric Environment
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    • 제12권2호
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    • pp.139-152
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    • 2018
  • The urban model inter-comparison study (UMICS) was conducted in order to improve the performance of air quality models (AQMs) for simulating fine particulate matter ($PM_{2.5}$) in the Greater Tokyo Area of Japan. UMICS consists of three phases: the first phase focusing on elemental carbon (UMICS1), the second phase focusing on sulfate, nitrate and ammonium (UMICS2), and the third phase focusing on organic aerosol (OA) (UMICS 3). In UMICS2/3, all the participating AQMs were the Community Multiscale Air Quality modeling system (CMAQ) with different configurations, and they similarly overestimated $PM_{2.5}$ nitrate concentration and underestimated $PM_{2.5}$ OA concentration. Various sensitivity analyses on CMAQ configurations, emissions and boundary concentrations, and meteorological fields were conducted in order to seek pathways for improvement of $PM_{2.5}$ simulation. The sensitivity analyses revealed that $PM_{2.5}$ nitrate concentration was highly sensitive to emissions of ammonia ($NH_3$) and dry deposition of nitric acid ($HNO_3$) and $NH_3$, and $PM_{2.5}$ OA concentration was highly sensitive to emissions of condensable organic compounds (COC). It was found that $PM_{2.5}$ simulation was substantially improved by using modified monthly profile of $NH_3$ emissions, larger dry deposition velocities of $HNO_3$ and $NH_3$, and additionally estimated COC emissions. Moreover, variability in $PM_{2.5}$ simulation was estimated from the results of all the sensitivity analyses. The variabilities on CMAQ configurations, chemical inputs (emissions and boundary concentrations), and meteorological fields were 6.1-6.5, 9.7-10.9, and 10.3-12.3%, respectively.

Advanced Forecasting Approach to Improve Uncertainty of Solar Irradiance Associated with Aerosol Direct Effects

  • Kim, Dong Hyeok;Yoo, Jung Woo;Lee, Hwa Woon;Park, Soon Young;Kim, Hyun Goo
    • 한국환경과학회지
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    • 제26권10호
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    • pp.1167-1180
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    • 2017
  • Numerical Weather Prediction (NWP) models such as the Weather Research and Forecasting (WRF) model are essential for forecasting one-day-ahead solar irradiance. In order to evaluate the performance of the WRF in forecasting solar irradiance over the Korean Peninsula, we compared WRF prediction data from 2008 to 2010 corresponding to weather observation data (OBS) from the Korean Meteorological Administration (KMA). The WRF model showed poor performance at polluted regions such as Seoul and Suwon where the relative Root Mean Square Error (rRMSE) is over 30%. Predictions by the WRF model alone had a large amount of potential error because of the lack of actual aerosol radiative feedbacks. For the purpose of reducing this error induced by atmospheric particles, i.e., aerosols, the WRF model was coupled with the Community Multiscale Air Quality (CMAQ) model. The coupled system makes it possible to estimate the radiative feedbacks of aerosols on the solar irradiance. As a result, the solar irradiance estimated by the coupled system showed a strong dependence on both the aerosol spatial distributions and the associated optical properties. In the NF (No Feedback) case, which refers to the WRF-only stimulated system without aerosol feedbacks, the GHI was overestimated by $50-200W\;m^{-2}$ compared with OBS derived values at each site. In the YF (Yes Feedback) case, in contrast, which refers to the WRF-CMAQ two-way coupled system, the rRMSE was significantly improved by 3.1-3.7% at Suwon and Seoul where the Particulate Matter (PM) concentrations, specifically, those related to the $PM_{10}$ size fraction, were over $100{\mu}g\;m^{-3}$. Thus, the coupled system showed promise for acquiring more accurate solar irradiance forecasts.