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Atmospheric Modeling Division Publications: 2009

This page lists publication titles, citations and abstracts produced by NERL's Atmospheric Modeling Division for the year 2009, organized by Publication Type. Your search has returned 23 Matching Entries.

See also Atmospheric Modeling Division citations with abstracts: 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009

Technical Information Manager: Liz Hope - (919) 541-2785 or hope.elizabeth@epa.gov

		Presented/Published
BOOK CHAPTER	Importance of a Global Approach to Using Regional Models in the Assessment of Source-Receptor Relationships of Mercury	06/16/2009

BULLOCK, R. AND L. Jaegle. Importance of a Global Approach to Using Regional Models in the Assessment of Source-Receptor Relationships of Mercury. Chapter 16, N. Pirrone, R. Mason (ed.), Mercury Fate and Transport in the Global Atmosphere: Measurement, models and policy implications. Springer-Verlag, Berlin, Germany, Chapter 16:503-517, (2009).
Abstract:	Regional atmospheric models simulate their pertinent processes over a limited portion of the global atmosphere. This portion of the atmosphere can be a large fraction, as in the case of continental-scale modeling, or small fraction, as in the case of urban-scale modeling. Regional modeling of any air pollutant requires that the meteorological and chemical conditions at the boundaries of the model domain be take into account, especially of the pollutants are long-lived.

BOOK CHAPTER	The Need for a Coordinated Global Mercury Monitoring Network for Global and Regional Models Validation	06/15/2009

KEELER, G. J., N. Pirrone, R. BULLOCK, AND S. SILLMAN. The Need for a Coordinated Global Mercury Monitoring Network for Global and Regional Models Validation. , Chapter 13, Mercury Fate and Transport in the Global Atmosphere. Springer, New York, NY, 391-424, (2009).
Abstract:	Currently, there is not a coordinated observational network for mercury (Hg) that could be used by the modelling community or for establishing recommendations for protecting human and environmental health on a global scale. Current national networks are inadequate as they lack (1) observations of all forms of Hg in the ambient air and in both wet and dry deposition; (2) long-term measurements of Hg and other air pollutants; (3) comprehensive monitoring sites in the free-troposphere; and (4) measurement sites that permit a careful investigation of inter-hemispheric transport and trends in background concentrations. Programs such as the World Meteorological Organization’s Global Atmosphere Watch have made substantial efforts to establish data centers and quality control programs to enhance integration of air quality measurements from different national and regional networks, and to establish observational sites in under-sampled, remote regions around the world. Similarly, the International Global Atmospheric Chemistry project (of the International Geosphere-Biosphere Programme) has strongly endorsed the need for international exchange of calibration standards and has helped coordinate multinational field campaigns to address a variety of important issues related to global air quality. Following the lead of these programs and incorporation of a well-defined Hg monitoring component into the existing network sites would be the most expeditious and efficient approach. Close coordination of the global modelling community with the global measurement community would lead to major advances in the global models and advance our understanding of the Hg science while decreasing the uncertainties in global assessments for Hg.

JOURNAL	Sensitivity of Inverse Estimation of 2004 Elemental Carbon Emissions Inventory in the United States to the Choice of Observational Networks	08/04/2009

Hu, Y., S. NAPELENOK, M. T. ODMAN, AND A. G. Russell. Sensitivity of Inverse Estimation of 2004 Elemental Carbon Emissions Inventory in the United States to the Choice of Observational Networks. GEOPHYSICAL RESEARCH LETTERS. American Geophysical Union, Washington, DC, 36(L15806):1-5, (2009).
Abstract:	Choice of observational networks used for inverse re-estimation of elemental (or black) carbon (EC) emissions in the United States impacts results. We convert the Thermal Optical Transmittance (TOT) EC measurements to the Thermal Optical Reflectance (TOR) equivalent to make full utilization of available networks in inverse modeling of EC using regional air quality model. Results show that using the Interagency Monitoring of Protected Visual Environments (IMPROV) network gives significantly lower emissions estimates compared to using the Speciation Trends Network (STN) and other networks or using all available networks together.

JOURNAL	The Watershed Deposition Tool: A Tool for Incorporating Atmospheric Deposition in Watershed Analysis	08/01/2009

SCHWEDE, D. B., R. L. DENNIS, AND M. A. Bitz. The Watershed Deposition Tool: A Tool for Incorporating Atmospheric Deposition in Watershed Analysis. JOURNAL OF AMERICAN WATER RESOURCES ASSOCIATION. American Water Resources Association, Middleburg, VA, 45(4):973-985, (2009).
Abstract:	The tool for providing the linkage between air and water quality modeling needed for determining the Total Maximum Daily Load (TMDL) and for analyzing related nonpoint-source impacts on watersheds has been developed. The Watershed Deposition Tool (WDT) takes gridded output of atmospheric deposition from a regional-scale air quality model, and calculates average per unit area and total deposition to selected watersheds and subwatersheds.

JOURNAL	National Urban Database and Access Portal Tool	08/01/2009

CHING, J. K., M. BROWN, S. Burian, F. Chen, R. Cionco, A. Hanna, T. Hultgren, D. Sailor, H. Taha, AND D. J. WILLIAMS. National Urban Database and Access Portal Tool. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY. American Meteorological Society, Boston, MA, 90(8):1157-1168, (2009).
Abstract:	Based on the need for advanced treatments of high resolution urban morphological features (e.g., buildings, trees) in meteorological, dispersion, air quality and human exposure modeling systems for future urban applications, a new project was launched called the National Urban Database and Access Portal Tool (NUDAPT). NUDAPT is sponsored by the U.S. Environmental Protection Agency (USEPA) and involves collaborations and contributions from many groups including federal and state agencies and from private and academic institutions here and in other countries. It is designed to produce and provide gridded fields of urban canopy parameters for various new and advanced descriptions of model physics to improve urban simulations given the availability of new high-resolution data of buildings, vegetation, and land use. Additional information include gridded anthropogenic heating and population data is incorporated to further improve urban simulations and to encourage and facilitate decision support and application linkages to human exposure models. An important core-design feature is the utilization of web portal technology to enable NUDAPT to be a “Community” based system. This web-based portal technology will facilitate customizing of data handling and retrievals (http://www.nudapt.org). This article provides an overview of NUDAPT and several example applications.

JOURNAL	Emissions Inventory of PM2.5 Trace Elements Across the United States	08/01/2009

REFF, A. H., P. BHAVE, H. SIMON, T. PACE, G. POULIOT, D. MOBLEY, AND M. HOUYOUX. Emissions Inventory of PM2.5 Trace Elements Across the United States. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, 43(15):5790-5796, (2009).
Abstract:	This paper presents the first National Emissions Inventory (NEI) of fine particulate matter (PM_2.5) that includes the full suite of PM_2.5 trace elements (atomic number >10) measured at ambient monitoring sites across the U.S. PM _2.5 emissions in the NEI were organized and aggregated into a set of 84 source categories for which chemical speciation profiles are available (e.g. Unpaved Road Dust, Agricultural Soil, Wildfires). Emission estimates for ten metals classified as Hazardous Air Pollutants (HAP) were refined using data from a recent HAP NEI. All emissions were spatially gridded and U.S. emissions maps for dozens of trace elements (e.g. Fe, TI) were presented for the first time. Our chemical, characterization of the PM_2.5 inventory shows that most of the previously un-speciated emissions are comprised of crustal elements, potassium, sodium, chlorine, and metal-bound oxygen. This work also reveals that the largest PM_2.5 sources lacking specific speciation data are off-road diesel-powered mobile equipment, road construction dust, marine vessels, gasoline-powered boats and railroad locomotives.

JOURNAL	Analysis of Regional Meteorology and Surface Ozone During the Texaqs II Field Program and An Evaluation of the Nmm-Cmaq and Wrf-Chem Air Quality Models	07/30/2009

Wilczak, J. M., I. Djalalova, S. McKeen, L. Bianco, J. Bao, G. Grell, S. Peckham, R. MATHUR, J. McQueen, AND P. Lee. Analysis of Regional Meteorology and Surface Ozone During the Texaqs II Field Program and An Evaluation of the Nmm-Cmaq and Wrf-Chem Air Quality Models. JOURNAL OF GEOPHYSICAL RESEARCH. American Geophysical Union, Washington, DC, 114(D00F14):1-22, (2009).
Abstract:	This study examines meteorological conditions associated with regional surface ozone using data collected during the summer of 2006 Texas Air Quality Experiment and the ability of the NMM-CMAQ and WRF-Chem models to simulate the observed meteorology and surface ozone.

JOURNAL	A Review of Secondary Organic Aerosol (Soa) Formation from Isoprene	07/27/2009

CARLTON, A. G., C. WIEDINMYER, AND J. H. KROLL. A Review of Secondary Organic Aerosol (Soa) Formation from Isoprene. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, Germany, 9(14):4987-5005, (2009).
Abstract:	Recent field and laboratory evidence indicates that the oxidation of isoprene forms secondary organic aerosol (SOA). Global biogenic emissions of isoprene (600 Tg yr^-1) are sufficiently large the formation of SOA is even small yields results in substantial production of atmospheric particulate matter, likely having implications for air quality and climate. Here we present a review of field measurements, experimental work, and modeling studies aimed at understanding the mechanisms, yield, and atmospheric importance of isoprene-derived SOA.

JOURNAL	An Indirect Data Assimilation Scheme for Deep Soil Temperature in the Pleim-Xiu Land Surface Model	07/01/2009

PLEIM, J. E. AND R. C. GILLIAM. An Indirect Data Assimilation Scheme for Deep Soil Temperature in the Pleim-Xiu Land Surface Model. JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY. American Meteorological Society, Boston, MA, 48(7):1362-1376, (2009).
Abstract:	The Pleim-Xiu land surface model (PX LSM) has been improved by the addition of a 2nd indirect data assimilation scheme. The first, which was described previously, is a technique where soil moisture in nudged according to the biases in 2-m air temperature and relative humidity between the model and observation based analyses. The new technique involves nudging the deep soil temperature in the soil temperature force-restore (FR) model according to model bias in the 2-m air temperature only during nighttime.

JOURNAL	An Evaluation of Real-Time Air Quality Forecasts and Their Urban Emissions Over Eastern Texas During the Summer of 2006 Second Texas Air Quality Study Field Study	06/18/2009

McKeen, S., G. Grell, S. Peckham, J. Wilczak, I. Djalalova, E. Hsie, G. Frost, J. Peischl, J. Schwarz, R. Spackman, A. Middlebrook, J. Holloway, J. de Gouw, C. Warneke, W. Gong, V. Bouchet, S. Gadreault, J. Racine, J. MCHENRY, J. McQueen, P. Lee, Y. Tang, G. Carmichael, AND R. MATHUR. An Evaluation of Real-Time Air Quality Forecasts and Their Urban Emissions Over Eastern Texas During the Summer of 2006 Second Texas Air Quality Study Field Study. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, 114(D00F11):1-26, (2009).
Abstract:	Forecasts of ozone (O₃) and particulate matter (diameter less than 2.5 µm, PM_2.5) from seven air quality forecast models (AQFMs) are statistically evaluated against observations collected during August and September of 2006 (49 days) through the AIRNow network (Aerometric Information Retrieval Now) throughout Eastern Texas and adjoining states.

JOURNAL	Lagrangian Sampling of 3-D Air Quality Model Results for Regional Transport Contributions to Sulfate Aerosol Concentrations at Baltimore, Md in Summer of 2004	06/15/2009

Fairlie, T., J. SZYKMAN, A. GILLILAND, R. Pierce, C. Kittaka, S. Weber, J. ENGEL-COX, R. R. Rogers, J. TIKVART, R. SCHEFFE, AND F. DIMMICK. Lagrangian Sampling of 3-D Air Quality Model Results for Regional Transport Contributions to Sulfate Aerosol Concentrations at Baltimore, Md in Summer of 2004. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, 43(20):3275-3288, (2009).
Abstract:	The Lagrangian method provides estimates of the chemical and physical evolution of air arriving in the daytime boundary layer at Baltimore. Study results indicate a dominant role for regional transport contributions of those days when sulfate air pollution is highest in Baltimore, with a principal transport pathway from the Ohio River Valley (ORV) through southern Pennsylvania and Maryland, consistent with earlier studies. This study serves as a prototype for the method applied to Baltimore. EPA is establishing a system to allow air quality planners to readily produce and access equivalent results for locations of the choice.

JOURNAL	Modeling and Impacts of Traffic Emissions on Air Toxics Concentrations Near Roadways	06/15/2009

Venkatram, A., V. ISAKOV, R. L. SEILA, AND R. W. BALDAUF. Modeling and Impacts of Traffic Emissions on Air Toxics Concentrations Near Roadways. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, 43(20):3191-3199, (2009).
Abstract:	The dispersion formulation incorporated in the U.S. Environmental Protection Agency’s AERMOD regulatory dispersion model is used to estimate the contribution of traffic-generated emissions of select VOCs – benzene, 1,3-butadiene, toluene – to ambient air concentrations at downwind receptors ranging from 10-m to 100-m from the edge of a major highway in Raleigh, North Carolina. The contributions are computed using the following steps: 1) Evaluate dispersion model estimates with 10-minute averaged NO data measured at 7 m and 17 m [this is consistent with the text below] from the edge of the road during a field study conducted in August, 2006; this step determines the uncertainty in model estimates. 2) Use dispersion model estimates and their uncertainties, determined in step 1, to construct pseudo observations. 3) Fit pseudo observations to actual observations of VOC concentrations measured during five periods of the field study. This provides estimates of the contributions of traffic emissions to the VOC concentrations at the receptors located from 10 m to 100 m from the road. In addition, it provides estimates of emission factors and background concentrations of the VOCs, which are supported by independent estimates from motor vehicle emissions models and regional air quality measurements. The results presented in the paper demonstrate the suitability of the formulation in AERMOD for estimating concentrations associated with mobile source emissions near roadways. This paper also presents an evaluation of the key emissions and dispersion modeling inputs necessary for conducting assessments of local-scale impacts from traffic emissions.

JOURNAL	Assessing Satellite-Based Fire Data for Use in the National Emissions Inventory	05/14/2009

SOJA, A. J., J. Al-Saadi, L. Giglio, D. Randall, C. Kittaka, G. POULIOT, J. KORDZI, S. Raffuse, T. G. Pace, T. E. PIERCE, T. MOORE, B. ROY, R. Pierce, AND J. SZYKMAN. Assessing Satellite-Based Fire Data for Use in the National Emissions Inventory. Journal of Applied Remote Sensing. SPIE/International Society for Optical Engineering, Bellingham, WA, 3(031504):1-28, (2009).
Abstract:	Biomass burning is significant to emission estimated because: (1) it can be a major contributor of particulate matter and other pollutants; (2) it is one of the most poorly documented of all sources; (3) it can adversely affect human health; and (4) it has been identified as a significant contributor to climate change through feedbacks with the radiation budget. Additionally, biomass burning can be a significant contributor to a regions inability to achieve the National Ambient Air Quality Standards for PM 2.5 and ozone, particularly on the top 20% worst air quality days. The United States does not have a standard methodology to track fire occurrence or area burned, which are essential components to estimating fire emissions.

JOURNAL	A Performance Evaluation of the National Air Quality Forecast Capability for the Summer of 2007	05/01/2009

EDER, B. K., D. KANG, R. MATHUR, J. E. PLEIM, S. YU, T. L. OTTE, AND G. POULIOT. A Performance Evaluation of the National Air Quality Forecast Capability for the Summer of 2007. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, 43(14):2312-2320, (2009).
Abstract:	This paper provides a performance evaluation of the real-time, CONUS-scale National Air Quality Forecast Capability (NAQFC), developed collaboratively by the National Oceanic and Atmospheric Administration (NOAA) and Environmental Protection Agency (EPA), that supported, in part, its transition into operational status.

JOURNAL	An Analysis of Simulated Wet Deposition of Mercury from the North American Mercury Model Intercomparison Study	04/18/2009

BULLOCK, R., D. ATKINSON, T. BRAVERMAN, K. Civerolo, A. Dastoor, D. Davignon, J. Ku, K. Lohman, T. MYERS, R. J. Park, C. SEIGNEUR, N. E. SELIN, G. Sistla, AND K. Vijayaraghavan. An Analysis of Simulated Wet Deposition of Mercury from the North American Mercury Model Intercomparison Study. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, 114(D08301):1-12, (2009).
Abstract:	A previous intercomparison of atmospheric mercury models in North America has been extended to compare simulated and observed wet deposition of mercury. Three regional-scale atmospheric mercury models were tested; CMAQ, REMSAD and TEAM. These models were each employed using three sets of lateral boundary conditions to test their sensitivity to intercontinental transport of mercury. The same meteorological and pollutant emission data were used in each simulation. Observations of wet deposition were obtained from the NADP's Mercury Deposition Network. The regional models can explain 50-70% of the site-to-site variance in annual mercury wet deposition. CMAQ was found to have slightly superior agreement to observations of annual mercury deposition flux in terms of the mean value for all monitoring sites, but REMSAD showed the best correlation when measured by the coefficient of determination (r²). With the exception of one CMAQ simulation, all of the models tended to simulate more wet deposition of mercury than was observed. TEAM exceeded the observed average annual wet deposition by 50% or more in all three of its simulations. CMAQ and REMSAD were better able to reproduce the observed seasonal distribution of mercury wet deposition than TEAM, but TEAM showed the highest correlation for weekly wet deposition samples. An analysis of model accuracy at each observation site showed no obvious geographic patterns for correlation, bias or error. Adjusting simulated mercury deposition based on the difference between observed and simulated precipitation data improved the correlation and error scores for all of the models.

JOURNAL	Combining Regional-and Local-Scale Air Quality Models With Exposure Models for Use in Environmental Health Studies	04/01/2009

ISAKOV, V., J. TOUMA, J. M. BURKE, D. T. LOBDELL, T. PALMA, A. Rosenbaum, AND H. A. OZKAYNAK. Combining Regional-and Local-Scale Air Quality Models With Exposure Models for Use in Environmental Health Studies. JOURNAL OF AIR AND WASTE MANAGEMENT. Air & Waste Management Association, Pittsburgh, PA, 59(4):461-472, (2009).
Abstract:	Population-based human exposure models predict the distribution of personal exposures to pollutants of outdoor origin using a variety of inputs, including: air pollution concentrations; human activity patterns, such as the amount of time spent outdoors vs. indoors, commuting, walking, and indoors at home; microenvironmental infiltration rates, and pollutant removal rates in indoor environments. Typically, exposure models rely upon ambient air concentration inputs from a sparse network of monitoring stations. Here we present a unique methodology for combining multiple types of air quality models (CMAQ chemical transport model added to the AERMOD dispersion model) and linking the resulting hourly concentrations to population exposure models (HAPEM or SHEDS) to enhance estimates of air pollution exposures that vary temporally (annual and seasonal) and spatially (at census block group resolution) in an urban area. The results indicate that there is a strong spatial gradient in the predicted mean exposure concentrations near roadways and industrial facilities, which can vary by almost a factor of two across the urban area studied. At the high end of the exposure distribution (95th percentile), exposures are higher in the central district then in the suburbs. This is mostly due to the importance of personal mobility factors whereby individuals living in the central area often move between microenvironments with high concentrations, as opposed to individuals residing at the outskirts of the city. Also, our results indicate 20-30% differences due to commuting patterns and almost a factor of two differences due to near-roadway effects. These differences are smaller for the median exposures, indicating the highly variable nature of the reflected ambient concentrations. In conjunction with local data on emission sources, microenvironmental factors, behavioral and socioeconomic characteristics, the combined source-to-exposure modeling methodology presented in this paper can improve the assessment of exposures in future community air pollution health studies.

JOURNAL	Efficient Probabilistic Estimates of Surface Ozone Concentration Using An Ensemble of Model Configurations and Direct Sensitivity Calculations	04/01/2009

PINDER, R. W., R. C. GILLIAM, W. APPEL, S. L. Napelenok, K. FOLEY, AND A. GILLILAND. Efficient Probabilistic Estimates of Surface Ozone Concentration Using An Ensemble of Model Configurations and Direct Sensitivity Calculations. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, 43(7):2388-2393, (2009).
Abstract:	Because all models are a simplification of the phenomenon they aim to represent, it is often more useful to estimate a probabilistic range rather than a single "best" model result.

JOURNAL	Modeling the Impact of Cino₂ on Ozone Formation in the Houston Area	02/18/2009

SIMON, H., Y. Kimura, G. McGaughey, D. ALLEN, S. S. Brown, H. D. Osthoff, J. M. Roberts, D. W. BYUN, AND D. Lee. Modeling the Impact of Cino₂ on Ozone Formation in the Houston Area. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. American Geophysical Union, Washington, DC, 114(D00F03):1-17, (2009).
Abstract:	During the summer of 2006, nitryl chloride (ClNO₂) mixing ratios of over 1 ppb were measured in the Houston urban area. Nitryl chloride is potentially important to atmospheric chemistry in urban environments because its photolysis products include both NO₂ and chlorine atoms. Chlorine atoms have previously been shown to significantly increase ozone formation in urban Houston. Photochemical modeling was performed using the Comprehensive Air quality Model with extensions (CAMx) to estimate the effects of observed nitryl chloride concentrations on local chemistry in Southeast Texas. CAMx was modified to include a formation mechanism for nitryl chloride as well as its photolysis reaction. Comparisons between model predictions and ambient measurements showed that the model predicted ClNO₂ concentrations were within the range of observed data. Model simulations predict that ClNO₂ increases total reactive chlorine mass by 20-40% in the atmosphere of Southeast Texas. Despite the high reactivity of chlorine, nitryl chloride caused only modest increases in ozone concentrations (up to 1.0 - 1.5 ppb when baseline 1-hr average ozone concentrations were between 60 and 85 ppb). The chemistry and physical processes which affect ozone formation were further investigated using box model simulations and a Lagrangian Process Analysis tool (LPA) within the gridded photochemical modeling simulations. These analyses showed that vertical dispersion and local atmospheric composition moderated the effect of nitryl chloride on ozone mixing ratios.

JOURNAL	The Impact of Spatial Correlation and Incommensurability on Model Evaluation	02/15/2009

SWALL, J. AND K. FOLEY. The Impact of Spatial Correlation and Incommensurability on Model Evaluation. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, 43(6):1159-1376, (2009).
Abstract:	Standard evaluations of air quality models rely heavily on a direct comparison of monitoring data matched with the model output for the grid cell containing the monitor’s location. While such techniques may be adequate for some applications, conclusions are limited by such factors as the sparseness of the available observations and the incommensurability between volume-average and pointwise observations. We examine several sets of simulations to illustrate the effect of incommensurability in a variety of cases distinguished by the type and extent of spatial correlation present. Lastly, we apply this method to actual data and discuss the practical importance of understanding the impact of spatial correlation structure and incommensurability.

JOURNAL	Surface Ozone Background in the United States: Canadian and Mexican Pollution Influences	02/01/2009

Wang, H., D. J. JACOB, P. Le Sager, D. G. STREETS, R. J. Park, A. GILLILAND, AND A. van Donkelaar. Surface Ozone Background in the United States: Canadian and Mexican Pollution Influences. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, 43(6):1310-1319, (2009).
Abstract:	We use a global chemical transport model (GEOS-Chem) with 1° x 1° horizontal resolution to quantify the effects of anthropogenic emissions from Canada, Mexico, and outside North America on daily maximum 8-h average ozone concentrations in U.S.surface air.

JOURNAL	The Impact of Chemical Lateral Boundary Conditions on Cmaq Predictions of Tropospheric Ozone Over the Continental United States	02/01/2009

Tang, Y., P. Lee, M. Tsidulko, H. HUANG, J. T. McQueen, G. J. DiMego, L. K. Emmons, R. B. Pierce, A. M. Thompson, H. Lin, D. KANG, D. Tong, S. YU, R. MATHUR, J. E. PLEIM, T. L. OTTE, G. POULIOT, J. O. YOUNG, K. L. SCHERE, P. M. Davidson, AND I. Stajner. The Impact of Chemical Lateral Boundary Conditions on Cmaq Predictions of Tropospheric Ozone Over the Continental United States. ENVIRONMENTAL FLUID MECHANICS. Springer, New York, NY, 9(1):43-58, (2008).
Abstract:	A sensitivity study is performed to examine the impact of lateral boundary conditions (LBCs) on the NOAA-EPA operational Air Quality Forecast Guidance over contintnetl USA.

JOURNAL	A Study of the Ozone Formation By Ensemble Back Trajectory-Process Analysis Using the Eta-Cmaq Forecast Model Over the Northeastern U.S. During the 2004 Icartt Period	01/01/2009

YU, S., R. MATHUR, D. KANG, K. L. SCHERE, AND D. Tong. A Study of the Ozone Formation By Ensemble Back Trajectory-Process Analysis Using the Eta-Cmaq Forecast Model Over the Northeastern U.S. During the 2004 Icartt Period. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, 43(2):355-363, (2009).
Abstract:	The integrated process rates (IPR) estimated by the Eta-CMAQ model at grid cells along the trajectory of the air mass transport path were analyzed to quantitatively investigate the relative importance of physical and chemical processes for O₃ formation and evolution over the northeastern U.S. during the 2004 ICARTT period.

PUBLISHED REPORT	Summary Report of Air Quality Modeling Research Activities for 2007	05/22/2009

RAO, S. T., R. L. DENNIS, V. GARCIA, A. GILLILAND, R. MATHUR, D. MOBLEY, T. E. PIERCE, AND K. L. SCHERE. Summary Report of Air Quality Modeling Research Activities for 2007. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/R-09/025 (NTIS PB2009-111394), 2009.
Abstract:	Through a Memorandum of Understanding (MOU) and Memorandum of Agreement (MOA) between the U.S. Department of Commerce (DOC) and the U.S. Environmental Protection Agency (EPA), the Atmospheric Sciences Modeling Division (ASMD) of the National Oceanic and Atmospheric Administration’s (NOAA’s) Air Resources Laboratory (ARL) develops advanced modeling and decision support systems for effective forecasting and management of the Nation’s air quality. As a division within the EPA organizational structure, ASMD is known as the Atmospheric Modeling Division (AMD). The Division is responsible for providing a sound scientific and technical basis for regulatory policies to improve ambient air quality. The models developed by the Division are being used by EPA, NOAA, and the air quality community not only to understand and forecast the magnitude of the air pollution problem, but also to develop emission control policies and regulations. This report summarizes the research and operational activities of the Division for fiscal year 2007.

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