A33B-3170:
High Resolution Air Quality Modeling for the Southeast US During SENEX-2013

Wednesday, 17 December 2014
Stuart A McKeen1, Ravan Ahmadov2, Wayne M Angevine3, Michael Trainer4, Kenneth Aikin3, Charles A Brock4, Steven S Brown5, Pete Edwards6, Joost A De Gouw7, Jessica Gilman4, John S Holloway3, Brian M Lerner8, Jin Liao9, Ann M Middlebrook9, Milos Z Markovic10, J A Neuman7, John B Nowak11, Joseph B Olson2, Joshua Peter Schwarz4, Jeff Peischl3, Ilana B Pollack12, James M Roberts1, Patrick R Veres9, Carsten Warneke9, Thomas B Ryerson13 and Bin Yuan3, (1)NOAA/ESRL, Boulder, CO, United States, (2)University of Colorado at Boulder, Boulder, CO, United States, (3)CIRES, Boulder, CO, United States, (4)NOAA ESRL, Boulder, CO, United States, (5)NOAA Earth System Research Lab, Chemical Sciences Division, Boulder, CO, United States, (6)University of York, Department of Chemistry, York, United Kingdom, (7)NOAA Earth System Research Lab, Boulder, CO, United States, (8)NOAA, Earth System Research La, Boulder, CO, United States, (9)NOAA Boulder, Boulder, CO, United States, (10)Environment Canada Toronto, Toronto, ON, Canada, (11)Aerodyne Research Inc., Billerica, MA, United States, (12)NOAA, Boulder, CO, United States, (13)NOAA Chemical Sciences Divisio, Boulder, CO, United States
Abstract:
An intensive measurement campaign - Studying the Interactions Between Natural and Anthropogenic Emissions at the Nexus of Climate Change and Air Quality (SENEX) was carried out by NOAA and other research institutes over the Southeast US during June-July, 2013. A large quantity of meteorological and in-situ chemical composition in-situ measurements were obtained on board the NOAA WP-3D research aircraft, with additional surface monitoring network observations.

Results from fully coupled meteorology/air-quality simulations using the WRF-Chem model on 12km grid resolution covering the Eastern continental US during the SENEX time period are presented here. We focus on simulations of ozone and its precursors, related oxidants, particulate matter mass and composition.

A recent US EPA anthropogenic emission inventory, NEI-2011 (version 1), is used in the base model simulation. Comparison of model results with the observations are used to quantify model biases and correlations under different emission scenarios, evaluate current estimates of biogenic hydrocarbon fluxes and their impact on air quality over the Southeast US.