Compilation and interpretation of photochemical model performance statistics published between 2006 and 2012
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[1] Kirk Baker,et al. Assessing Meteorological Variable and Process Relationships to Modeled PM2.5 Ammonium Nitrate and Ammonium Sulfate in the Central United States , 2008 .
[2] Tracey Holloway,et al. Seasonality of speciated aerosol transport over the Great Lakes region , 2009 .
[3] Srinath Krishnan,et al. Modeling atmospheric transport and fate of ammonia in North Carolina—Part I: Evaluation of meteorological and chemical predictions , 2008 .
[4] Stefan Emeis,et al. Application of a multiscale, coupled MM5/chemistry model to the complex terrain of the VOTALP valley campaign , 2000 .
[5] Ling Jin. Seasonal versus Episodic Performance Evaluation for an Eulerian PhotochemicalAir Quality Model , 2010 .
[6] K. Baker,et al. Photochemical modeling of the Ozark isoprene volcano: MEGAN, BEIS, and their impacts on air quality predictions. , 2011, Environmental science & technology.
[7] Christian Seigneur,et al. A comprehensive performance evaluation of MM5-CMAQ for the Summer 1999 Southern Oxidants Study episode—Part II: Gas and aerosol predictions , 2006 .
[8] Jeffrey Young,et al. Incremental testing of the Community Multiscale Air Quality (CMAQ) modeling system version 4.7 , 2009 .
[9] Naresh Kumar,et al. Determination of the organic aerosol mass to organic carbon ratio in IMPROVE samples. , 2005, Chemosphere.
[10] Prakash Karamchandani,et al. Plume-in-grid modeling for particulate matter , 2006 .
[11] C. Rosenzweig,et al. An analysis of long-term regional-scale ozone simulations over the Northeastern United States: variability and trends , 2010 .
[12] Marco A. Rodríguez,et al. Regional Impacts of Oil and Gas Development on Ozone Formation in the Western United States , 2009, Journal of the Air & Waste Management Association.
[13] Judith C. Chow,et al. Comparison of IMPROVE and NIOSH Carbon Measurements , 2001 .
[14] D. Bigelow. Comparability of wet-only precipitation chemistry measurements from the United States' national atmospheric deposition program (NADP) to those of the Canadian network for sampling acid precipitation (CANSAP) , 1991 .
[15] Seungbum Kim,et al. Evaluation of air quality models for the simulation of a high ozone episode in the Houston metropolitan area , 2007 .
[16] John H Seinfeld,et al. Apportionment of primary and secondary organic aerosols in southern California during the 2005 study of organic aerosols in riverside (SOAR-1). , 2008, Environmental science & technology.
[17] Weimin Jiang,et al. Evaluation of CMAQ O3 and PM2.5 performance using Pacific 2001 measurement data , 2006 .
[18] Rohit Mathur,et al. A detailed evaluation of the Eta-CMAQ forecast model performance for O3, its related precursors, and meteorological parameters during the 2004 ICARTT study , 2007 .
[19] Rohit Mathur,et al. Daily Simulation of Ozone and Fine Particulates over New York State: Findings and Challenges , 2007 .
[20] Prakash Karamchandani,et al. Plume‐in‐grid modeling of atmospheric mercury , 2008 .
[21] K. Wyat Appel,et al. Evaluation of the community multiscale air quality (CMAQ) model version 4.5: Sensitivities impacting model performance; Part II—particulate matter , 2008 .
[22] James F. Gleason,et al. NO2 columns in the western United States observed from space and simulated by a regional chemistry model and their implications for NOx emissions , 2009 .
[23] Yang Zhang,et al. Responses of future air quality to emission controls over North Carolina, Part I: Model evaluation for current-year simulations , 2010 .
[24] Barbara J. Turpin,et al. Species Contributions to PM2.5 Mass Concentrations: Revisiting Common Assumptions for Estimating Organic Mass , 2001 .
[25] Wei Liu,et al. Evaluation of model simulated atmospheric constituents with observations in the factor projected space: CMAQ simulations of SEARCH measurements , 2009 .
[26] C. Seigneur,et al. Development and Application of a Multipollutant Model for Atmospheric Mercury Deposition , 2007 .
[27] Marco A. Rodríguez,et al. Modeling the fate of atmospheric reduced nitrogen during the Rocky Mountain Atmospheric Nitrogen and Sulfur Study (RoMANS): Performance evaluation and diagnosis using integrated processes rate analysis , 2011 .
[28] K. Wyat Appel,et al. Evaluation of the Community Multiscale Air Quality (CMAQ) model version 4.5 : Sensitivities impacting model performance Part I-Ozone , 2007 .
[29] D. Byun,et al. Improved CMAQ predictions of particulate matter utilizing the satellite-derived aerosol optical depth , 2011 .
[30] N. Frank,et al. Retained Nitrate, Hydrated Sulfates, and Carbonaceous Mass in Federal Reference Method Fine Particulate Matter for Six Eastern U.S. Cities , 2006, Journal of the Air & Waste Management Association.
[31] Yang Zhang,et al. Examining the sensitivity of MM5–CMAQ predictions to explicit microphysics schemes and horizontal grid resolutions, Part II—PM concentrations and wet deposition predictions , 2008 .
[32] Rohit Mathur,et al. A performance evaluation of the National Air Quality Forecast Capability for the summer of 2007 , 2009 .
[33] T. Tesche. Accuracy of Ozone Air Quality Models , 1988 .
[34] Jerome D. Fast,et al. WRF/Chem‐MADRID: Incorporation of an aerosol module into WRF/Chem and its initial application to the TexAQS2000 episode , 2010 .
[35] Robin L. Dennis,et al. A multi-resolution assessment of the Community Multiscale Air Quality (CMAQ) model v4.7 wet deposition estimates for 2002–2006 , 2010 .
[36] S. H. Park,et al. Relative impact of windblown dust versus anthropogenic fugitive dust in PM2.5 on air quality in North America , 2010 .
[37] Daniel Tong,et al. Spatial variability of summertime tropospheric ozone over the continental United States: Implications of an evaluation of the CMAQ model , 2006 .
[38] Rohit Mathur,et al. Dynamic evaluation of regional air quality model’s response to emission reductions in the presence of uncertain emission inventories , 2011 .
[39] Rohit Mathur,et al. A comparison of CMAQ‐based aerosol properties with IMPROVE, MODIS, and AERONET data , 2007 .
[40] C. Seigneur,et al. Modeling Atmospheric Mercury Deposition in the Vicinity of Power Plants , 2006, Journal of the Air & Waste Management Association.
[41] M. Kleeman,et al. Modeling air quality during the California Regional PM10/PM2.5 Air Quality Study (CRPAQS) using the UCD/CIT source-oriented air quality model -Part I. Base case model results , 2008 .
[42] Rohit Mathur,et al. Real-time bias-adjusted O3 and PM2.5 air quality index forecasts and their performance evaluations over the continental United States , 2010 .
[43] J. Pudykiewicz,et al. The application of Eulerian models for air quality prediction and the evaluation of emission control strategies in Canada , 2001 .
[44] J. D. de Gouw,et al. Organic aerosols in the Earth's atmosphere. , 2009, Environmental science & technology.
[45] Yang Zhang,et al. Examining the sensitivity of MM5-CMAQ predictions to explicit microphysics schemes and horizontal grid resolutions, Part III—The impact of horizontal grid resolution , 2008 .
[46] R. Mathur,et al. Evaluation of real‐time PM2.5 forecasts and process analysis for PM2.5 formation over the eastern United States using the Eta‐CMAQ forecast model during the 2004 ICARTT study , 2008 .
[47] M. Newchurch,et al. Comparison of Canadian Air Quality Forecast Models With Tropospheric Ozone Profile Measurements Above Midlatitude North America During the IONS/ICARTT Campaign: Evidence for Stratospheric Input , 2007 .
[48] C. Jang,et al. Source attribution for mercury deposition in the contiguous United States: Regional difference and seasonal variation , 2012, Journal of the Air & Waste Management Association.
[49] Paul A. Makar,et al. Evaluation of a unified regional air-quality modeling system (AURAMS) using PrAIRie2005 field study data: The effects of emissions data accuracy on particle sulphate predictions , 2009 .
[50] Robert C. Gilliam,et al. Sensitivity of the Community Multiscale Air Quality (CMAQ) model v4.7 results for the eastern United States to MM5 and WRF meteorological drivers , 2009 .
[51] Jianping Huang,et al. Role of isoprene in secondary organic aerosol formation on a regional scale , 2007 .
[52] Performance evaluation of NOAA-EPA developmental aerosol forecasts , 2009 .
[53] David D. Nelson,et al. Evaluation of nitrogen dioxide chemiluminescence monitors in a polluted urban environment , 2007 .
[54] Joshua S. Fu,et al. Improving ozone modeling in complex terrain at a fine grid resolution – Part II: Influence of schemes in MM5 on daily maximum 8-h ozone concentrations and RRFs (Relative Reduction Factors) for SIPs in the non-attainment areas , 2010 .
[55] Kaarle Kupiainen,et al. Modeling carbonaceous aerosol over Europe: Analysis of the CARBOSOL and EMEP EC/OC campaigns , 2007 .
[56] Susan M. O’Neill,et al. Enhancement and evaluation of the AIRPACT ozone and PM2.5forecast system for the Pacific Northwest , 2008 .
[57] Catherine F. Cahill,et al. Influence of ship emissions on air quality and input of contaminants in southern Alaska National Parks and Wilderness Areas during the 2006 tourist season , 2010 .
[58] M. Molina,et al. Secondary organic aerosol formation from anthropogenic air pollution: Rapid and higher than expected , 2006 .
[59] P. S. Porter,et al. An objective comparison of CMAQ and REMSAD performances , 2006 .
[60] Che-Jen Lin,et al. Scientific uncertainties in atmospheric mercury models II: Sensitivity analysis in the CONUS domain , 2007 .
[61] Paul A. Makar,et al. A comparative performance evaluation of the AURAMS and CMAQ air-quality modelling systems , 2009 .
[62] K. Baker,et al. Regional scale photochemical model evaluation of total mercury wet deposition and speciated ambient mercury , 2012 .
[63] J. Milford,et al. Secondary organic aerosol from sesquiterpene and monoterpene emissions in the United States. , 2008, Environmental science & technology.
[64] Yang Zhang,et al. An examination of sensitivity of WRF/Chem predictions to physical parameterizations, horizontal grid spacing, and nesting options , 2010 .
[65] G. Sistla,et al. An analysis of simulated wet deposition of mercury from the North American Mercury Model Intercomparison Study , 2009 .
[66] Gail S. Tonnesen,et al. CMAQ/CAMx annual 2002 performance evaluation over the eastern US , 2006 .
[67] Paul A. Makar,et al. Cloud processing of gases and aerosols in a regional air quality model (AURAMS) , 2006 .
[68] Mark Z. Jacobson,et al. Probing into regional ozone and particulate matter pollution in the United States: 1. A 1 year CMAQ simulation and evaluation using surface and satellite data , 2009 .
[69] Heather Simon,et al. Challenges to modeling "cold pool" meteorology associated with high pollution episodes. , 2011, Environmental science & technology.
[70] D. Tarasick,et al. Dynamic adjustment of climatological ozone boundary conditions for air-quality forecasts , 2010 .
[71] Naresh Kumar,et al. Modeling regional haze in the BRAVO study using CMAQ‐MADRID: 1. Model evaluation , 2006 .
[72] Bonyoung Koo,et al. Development and application of a three-dimensional aerosol chemical transport model, PMCAMx , 2007 .
[73] Jenise L. Swall,et al. Determining the spatial and seasonal variability in OM/OC ratios across the US using multiple regression , 2010 .
[74] Naresh Kumar,et al. Modeling regional haze during the BRAVO study using CMAQ-MADRID: 2. Source region attribution of particulate sulfate compounds , 2006 .
[75] C. Hogrefe,et al. Rethinking the Assessment of Photochemical Modeling Systems in Air Quality Planning Applications , 2008, Journal of the Air & Waste Management Association.
[76] Paul A. Makar,et al. Impact of model grid spacing on regional- and urban- scale air quality predictions of organic aerosol , 2010 .
[77] A. Goldstein,et al. Known and Unexplored Organic Constituents in the Earth's Atmosphere , 2007 .
[78] Gary A. Morris,et al. Influence of vertical mixing uncertainties on ozone simulation in CMAQ , 2011 .
[79] Golam Sarwar,et al. Model representation of secondary organic aerosol in CMAQv4.7. , 2010, Environmental science & technology.
[80] S. Vermette,et al. Field tests for a regional mercury deposition network—sampling design and preliminary test results , 1995 .
[81] Shaocai Yu,et al. A performance evaluation of the 2004 release of Models-3 CMAQ , 2006 .
[82] D. Klemp,et al. Evaluation of Modeled Spatially and Temporarily Highly Resolved Emission Inventories of Photosmog Precursors for the City of Augsburg: The Experiment EVA and Its Major Results , 2002 .
[83] Rohit Mathur,et al. An operational evaluation of the Eta-CMAQ air quality forecast model , 2005 .
[84] Robin L. Dennis,et al. Testing CMAQ chemistry sensitivities in base case and emissions control runs at SEARCH and SOS99 surface sites in the southeastern US , 2006 .
[85] R. Mathur,et al. Performance and Diagnostic Evaluation of Ozone Predictions by the Eta-Community Multiscale Air Quality Forecast System during the 2002 New England Air Quality Study , 2006, Journal of the Air & Waste Management Association.
[86] A. Russell,et al. PM and light extinction model performance metrics, goals, and criteria for three-dimensional air quality models , 2006 .
[87] Tanya L. Otte,et al. The Impact of Nudging in the Meteorological Model for Retrospective Air Quality Simulations. Part I: Evaluation against National Observation Networks , 2008 .
[88] Paul A. Makar,et al. Modelling gaseous dry deposition in AURAMS: a unified regional air-quality modelling system , 2002 .
[89] Greg Yarwood,et al. Model sensitivity evaluation for organic carbon using two multi-pollutant air quality models that simulate regional haze in the southeastern United States , 2006 .
[90] Jenny L. Hand,et al. An examination of the physical and optical properties of aerosols collected in the IMPROVE program , 2007 .
[91] Georg A. Grell,et al. Fully coupled “online” chemistry within the WRF model , 2005 .
[92] M. Kleeman,et al. A 3D Eulerian source-oriented model for an externally mixed aerosol. , 2001, Environmental science & technology.
[93] Kirk Baker,et al. Photochemical model performance for PM2.5 sulfate, nitrate, ammonium, and precursor species SO2, HNO3, and NH3 at background monitor locations in the central and eastern United States , 2007 .