[논문]WRF-Chem model sensitivity to chemical mechanisms choice in reconstructing aerosol optical properties

Balzarini, A.; Pirovano, G.; Honzak, L.; Zabkar, R.; Curci, G.; Forkel, R.; Hirtl, M.; San Jose, R.; Tuccella, P.; Grell, G.A.

doi:10.1016/j.atmosenv.2014.12.033

[해외논문] WRF-Chem model sensitivity to chemical mechanisms choice in reconstructing aerosol optical properties

Atmospheric environment, v.115, 2015년, pp.604 - 619

Balzarini, A. , Pirovano, G. , Honzak, L. , Zabkar, R. , Curci, G. , Forkel, R. , Hirtl, M. , San Jose, R. , Tuccella, P. , Grell, G.A.

Abstract ▼ AI-Helper

In the framework of the AQMEII initiative WRF-Chem has been applied over Europe adopting two chemical configurations for the calendar year 2010. The first one employed the RADM2 gas-phase chemistry and MADE/SORGAM aerosol module, while the second one implemented the CBM-Z gaseous parameterization and MOSAIC aerosol chemistry. Configurations shared the same domain, meteorological setups and input data. The Comparison demonstrated that CBM-Z has a more efficient ozone-NO titration than RADM2 in regions with sufficiently high levels of NOx and VOCs. At the same time, CBM-Z is found to have a more effective NO2 + OH reaction. The parameterization of the relative humidity of deliquescence point has a strong impact on HNO3 and NO3 concentrations over Europe, particularly over the sea. The MADE approach showed to be more efficient than MOSAIC. Differently, particulate sulfate and SO2 ground concentrations proved to be more influenced by the heterogeneous SO2 cloud oxidation. PM10 and PM2.5 have shown similar results for MOSAIC and MADE/SORGAM, even though some differences were found in the dust and sea salt size partitioning between modes and bins. Indeed, in MADE the sea salt was distributed only in the coarse fraction, while the dust emissions were distributed mainly in the fine fraction. Finally, different chemical mechanisms give different Aerosol Optical Depths (AOD). WRF-Chem is found to under predict the AODs in both configurations because of the misrepresentation of the dust coarse particle, as shown by the analysis of the relationship between the Angstrom exponent and the AOD bias. Differently, when the AOD is dominated by fine particles, the differences in model performance are more evident, with MADE/SORGAM generally performing better than MOSAIC. Indeed the higher availability of both sulfate and nitrate has a significant influence on reconstruction of the AOD estimations. This paper shows the great importance of chemical mechanisms in both gaseous and aerosols predictions, as well as in the calculation of aerosol optical properties.

주제어

참고문헌 (67)

Atmos. Chem. Phys. Aan de Brugh 11 1117 2011 10.5194/acp-11-1117-2011 The European aerosol budget in 2006

상세보기
J. Air Waste Manag. Assoc. Achilleos 64 1352 2014 10.1080/10962247.2014.923061 PM10 concentration levels at an urban and background site in Cyprus: the impact of urban sources and dust storms

상세보기
Atmos. Environ. Ackermann 32 17 2981 1998 10.1016/S1352-2310(98)00006-5 Modal aerosol dynamics model for Europe: development and first applications

상세보기
J. Geophys. Res. Ahmadov 117 2012 10.1029/2011JD016831 A volatility basis set model for summertime secondary organic aerosols over the eastern United States in 2006

상세보기
Atmos. Environ. Alapaty 49 419 2012 10.1016/j.atmosenv.2011.12.016 New Directions: understanding interactions of air quality and climate change at regional scales

상세보기
Atmos. Chem. Phys. Baklanov 14 317 2014 10.5194/acp-14-317-2014 Online coupled regional meteorology chemistry models in Europe: current status and prospects

상세보기
Atmos. Environ. Barnard 38 3393 2004 10.1016/j.atmosenv.2004.03.034 An evaluation of the FAST-J photolysis algorithm for predicting nitrogen dioxide photolysis rates under clear and cloudy sky conditions

상세보기
Atmos. Chem. Phys. Barnard 10 7325 2010 10.5194/acp-10-7325-2010 Technical note: evaluation of the WRF-Chem aerosol chemical to aerosol optical properties module using data from the MILAGRO campaign

상세보기
Atmos. Chem. Phys. Basart 12 3363 2012 10.5194/acp-12-3363-2012 Aerosols in the CALIOPE air quality modelling system: evaluation and analysis of PM levels, optical depths and chemical composition over Europe

상세보기
Environ. Model. Softw. Bianconi 19 401 2004 10.1016/S1364-8152(03)00139-7 Web-based system for decision support in case of emergency: ensemble modelling of long-range atmospheric dispersion of radionuclides

상세보기
Atmos. Environ. Brunner 115 470 2015 10.1016/j.atmosenv.2014.12.032 Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2

상세보기
Byun 1999 Science Algorithms of the EPA Models-3 Community Multiscale Air Quality (CMAQ) Modeling System
Appl. Mech. Rev. Byun 59 2 51 2006 10.1115/1.2128636 Review of the governing equations, computational algorithms, and other components of the models-3 community multiscale air quality (CMAQ) modeling system

상세보기
Atmos. Chem. Phys. Chapman 9 945 2009 10.5194/acp-9-945-2009 Coupling aerosol-cloud-radiative processes in the WRF-Chem model: investigating the radiative impact of elevated point sources

상세보기
Mon. Weather Rev. Chen 129 569 2001 10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2 Coupling an advanced land surface-hydrology model with the penn state-NCAR MM5 modeling system. Part I: model implementation and sensitivity

상세보기
Atmos. Environ. Cuvelier 41 1 189 2007 10.1016/j.atmosenv.2006.07.036 CityDelta: a model intercomparison study to explore the impact of emission reductions in European cities in 2010

상세보기
DeMore 1997 Chemical Kinetics and Photochemical Data.for Use in Stratospheric Modeling
J. Geophys. Res. Eck 104 D24 31,333 1999 10.1029/1999JD900923 Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols

상세보기
Atmos. Environ. Fahey 35 4471 2001 10.1016/S1352-2310(01)00224-2 Optimizing model performance: variable size resolution in cloud chemistry modeling

상세보기
J. Geophys. Res. Fast 111 2006 10.1029/2005JD006721 Evolution of ozone, particulates, and aerosol direct radiative forcing in the vicinity of Houston using a fully coupled meteorology-chemistry-aerosol model

상세보기
Atmos. Environ. Forkel 115 630 2015 10.1016/j.atmosenv.2014.10.056 Analysis of the WRF-Chem contributions to AQMEII phase2 with respect to aerosol radiative feedbacks on meteorology and pollutant distribution

상세보기
Atmos. Environ. Galmarini 53 51 2012 10.1016/j.atmosenv.2011.08.076 ENSEMBLE and AMET: two systems and approaches to a harmonised, simplified and efficient assistance to air quality model developments and evaluation

상세보기
J. Geophys. Res. Gery 94 12,925 1989 10.1029/JD094iD10p12925 A photochemical kinetics mechanism for urban and regional scale computer modeling

상세보기
J. Geophys. Res. Ghan 106 5295 2001 10.1029/2000JD900502 Evaluation of aerosol direct radiative forcing in MIRAGE

상세보기
Glob. Biogeochem. Cycles Gong 17 1097 2003 10.1029/2003GB002079 A parameterization of sea-salt aerosol source function for sub- and super-micron particles

상세보기
Atmos. Environ. Grell 45 38 6845 2011 10.1016/j.atmosenv.2011.01.017 Coupled modeling for forecasting weather and air quality

상세보기
Geophys. Res. Lett. Grell 29 14 1693 2002 10.1029/2002GL015311 A generalized approach to parameterizing convection combining ensemble and data assimilation techniques

상세보기
Atmos. Chem. Phys. Grell 14 5233 2014 10.5194/acp-14-5233-2014 A scale and aerosol aware stochastic convective parameterization for weather and air quality modeling

상세보기
Atmos. Environ. Grell 39 6957 2005 10.1016/j.atmosenv.2005.04.027 Fully coupled online chemistry within the WRF model

상세보기
Atmos. Chem. Phys. Guenther 6 3181 2006 10.5194/acp-6-3181-2006 Estimates of global terrestrial isoprene emissions using MEGAN (model of emissions of gases and aerosols from nature

상세보기
Mon. Weather Rev. Hong 134 2318 2006 10.1175/MWR3199.1 A new vertical diffusion package with an explicit treatment of entrainment processes

상세보기
J. Geophys. Res. Iacono 113 2008 10.1029/2008JD009944 Radiative forcing by long-lived greenhouse gases: calculations with the AER radiative transfer models

상세보기
Atmos. Environ. Im 115 421 2015 10.1016/j.atmosenv.2014.08.072 Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase2. Part II: particulate matter

상세보기
J. Appl. Meteorol. Climatol. Kallos 46 1230 2007 10.1175/JAM2530.1 Long-range transport of anthropogenically and naturally produced particulate matter in the Mediterranean and North Atlantic: current status of knowledge

상세보기
J. Appl. Meteorol. Kondragunta 47 443 2008 Air quality forecast verification using satellite data
Atmos. Chem. Phys. Discuss. Kuenen 14 5837 2014 10.5194/acpd-14-5837-2014 TNO_MACC_II emission inventory: a multi-year (2003-2009) consistent high-resolution European emission inventory for air quality modelling

상세보기
J. Geophys. Res. McKeen 112 2007 10.1029/2006JD007608 Evaluation of several PM2.5 forecast models using data collected during the ICARTT/NEAQS 2004 field study

상세보기
Atmos. Environ. Middleton 24 1107 1990 10.1016/0960-1686(90)90077-Z Aggregation and analysis of volatile organic compound emissions for regional modelling

상세보기
Atmos. Chem. Phys. Mitsakou 8 7181 2008 10.5194/acp-8-7181-2008 Saharan dust levels in Greece and received inhalation doses

상세보기
Mon. Weather Rev. Morrison 137 991 2009 10.1175/2008MWR2556.1 Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: comparison of one- and two-moment schemes

상세보기
Atmos. Environ. Mozurkewich 27A 261 1993 10.1016/0960-1686(93)90356-4 The dissociation constant of ammonium nitrate and its dependence on temperature, relative humidity and particle size

상세보기
J. Geophys. Res. Papadimas 113 2008 10.1029/2007JD009189 Spatial and temporal variability in aerosol properties over the Mediterranean basin based on 6-year (2000-2006) MODIS data

상세보기
Air Qual. Atmos. Health Pernigotti 6 4 701 2013 10.1007/s11869-013-0211-1 POMI: a model inter-comparison exercise over the Po Valley

상세보기
Atmos. Environ. Pirovano 53 93 2012 10.1016/j.atmosenv.2011.12.052 Investigating impacts of chemistry and transport model formulation on model performance at European scale

상세보기
Atmos. Environ. Pouliot 53 75 2012 10.1016/j.atmosenv.2011.12.041 Comparing emissions inventories and model-ready emissions datasets between Europe and North America for the AQMEII Project

상세보기
Atmos. Environ Pouliot 115 345 2015 10.1016/j.atmosenv.2014.10.061 Analysis of the emission inventories and model-ready emission datasets of Europe and North America for phase 2 of the AQMEII project

상세보기
BAMS Rao 92 1 23 2011 10.1175/2010BAMS3069.1 Air quality model evaluation international initiative (AQMEII): advancing the state of the science in regional photochemical modeling and its applications

상세보기
Atmos. Chem. Phys. Robles Gonzalez 3 521 2003 10.5194/acp-3-521-2003 Spatial variation of aerosol properties over Europe derived from satellite observation and comparison with model calculations

상세보기
J. Geophys. Res. Roy 112 2007 10.1029/2006JD008085 A comparison of CMAQ-based aerosol properties with IMPROVE, MODIS, and AERONET data

상세보기
Atmos. Environ. San Jose 115 646 2015 10.1016/j.atmosenv.2015.04.030 Evaluation of feedback effects in CBMZ/MOSAIC chemical mechanism

상세보기
J. Geophys. Res. Schell 106 28275 2001 10.1029/2001JD000384 Modeling the formation of secondary organic aerosol within a comprehensive air quality model system

상세보기
Seinfeld 1998 Atmospheric Chemistry and Physics, from Air Pollution to Climate Change
Atmos. Environ. Shaw 42 1907 2008 10.1016/j.atmosenv.2007.11.022 An evaluation of the wind erosion module in DUSTRAN

상세보기
J. Comput. Phys. Skamarock 227 3465 2008 10.1016/j.jcp.2007.01.037 A time-split nonhydrostatic atmospheric model for research and NWP applications

상세보기
Atmos. Environ. Solazzo 53 60 2012 10.1016/j.atmosenv.2012.01.003 Model evaluation and ensemble modelling of surface-level ozone in Europe and North America in the context of AQMEII

상세보기
J. Geophys. Res. Stockwell 95 16343 1990 10.1029/JD095iD10p16343 The second generation regional acid deposition model chemical mechanism for regional air quality modeling

상세보기
Atmos. Chem. Phys. Tombette 8 7115 2008 10.5194/acp-8-7115-2008 Simulation of aerosol optical properties over Europe with a 3-D size-resolved aerosol model: comparisons with AERONET data

상세보기
J. Geophys. Res. Tuccella 117 2012 10.1029/2011JD016302 Modeling of gas and aerosol with WRF/Chem over Europe: evaluation and sensitivity study

상세보기
Atmos. Environ. Van Loon 41 2083 2007 10.1016/j.atmosenv.2006.10.073 Evaluation of long-term ozone simulations from seven regional air quality models and their ensemble average

상세보기
J. Atmos. Sci. Walcek and Taylor 43 4 339 1986 10.1175/1520-0469(1986)043<0339:ATMFCV>2.0.CO;2 A theoretical method for computing vertical distributions of acidity and sulfate within cumulus clouds

상세보기
Atmos. Environ. Wesely 23 1293 1989 10.1016/0004-6981(89)90153-4 Parameterization of surface resistance to gaseous dry deposition in regional-scale numerical models

상세보기
Yarwood 246 2005 Final Report-updates to the Carbon Bond Chemical Mechanism: CB05
J. Geophys. Res. Zaveri 104 D23 30,387 1999 10.1029/1999JD900876 A new lumped structure photochemical mechanism for large-scale applications

상세보기
J. Geophys. Res. Zaveri 113 2008 10.1029/2007JD008782 Model for simulating aerosol interactions and chemistry (MOSAIC)

상세보기
Atmos. Environ. Zhang 44 3568 2010 10.1016/j.atmosenv.2010.05.056 Simulating chemistry-aerosol-cloud-radiation-climate feedbacks over the continental US using the online-coupled weather research forecasting model with chemistry (WRF/Chem)

상세보기
J. Geophys. Res. Zhang 117 2012 Impact of gas-phase mechanisms on weather research forecasting model with chemistry (WRF/Chem) predictions: mechanism implementation and comparative evaluation
Atmos. Chem. Phys. Zhao 10 8821 2010 10.5194/acp-10-8821-2010 The spatial distribution of mineral dust and its shortwave radiative forcing over North Africa: modeling sensitivities to dust emissions and aerosol size treatments

상세보기

표제어: PCR

동의어: Packet Collision Rate

용어 설명 출처 목록 (6)

용어 설명: PCR은 세균 특이성이 있는 primer를 이용하여 적은 수의 세균이 있을지라도 쉽게 검출할 수 있는 유용한 방법이며, 이를 이용하여 구강 내 치면세균막이나 타액에서 직접 세균을 검출할 수 있게 되었다[8].

내보내기 구분	파일저장 인쇄 메일전송
구성항목	기본정보 상세정보 관리번호, 논문명, 저널/프로시딩명, 저자 , 발행년, 권, 호, 시작페이지, 끝페이지, 발행기관 관리번호, 논문명, 대등논문명, 저자 , 저널/프로시딩명, 발행기관, 발행년, 발행언어, 권, 호, 시작페이지, 끝페이지, ISBN, ISSN, 주제분야, 키워드, 초록(한글), 초록(영문), 저자(소속기관)
저장형식	Text(ASCII format) Excel format RefWorks Direct Export RIS format (for Reference Manager, ProCite, EndNote), Scholar's Aids, Mendeley
메일정보	받는사람 (필수) @ 보내는사람 (선택) @ 제목 내용 KISTI 검색결과 이메일 서비스
안내	총 건의 자료가 검색되었습니다. 다운받으실 자료의 인덱스를 입력하세요. (1-10,000) 검색결과의 순서대로 최대 10,000건 까지 다운로드가 가능합니다. 데이타가 많을 경우 속도가 느려질 수 있습니다.(최대 2~3분 소요) 다운로드 파일은 UTF-8 형태로 저장됩니다. 파일의 내용이 제대로 보이지 않을실 때는 웹브라우저 상단의 보기 -> 인코딩 -> 자동선택 여부를 확인하십시오. ~ Text(ASCII format) Excel format

연합인증

[해외논문] WRF-Chem model sensitivity to chemical mechanisms choice in reconstructing aerosol optical properties

Abstract ▼ AI-Helper

주제어

참고문헌 (67)

이 논문을 인용한 문헌

관련 콘텐츠

원문 URL 링크

이 논문과 함께 이용한 콘텐츠

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

선택된 텍스트