HR: 11:20h
AN: A12C-05 INVITED    [Abstracts]
TI: An assessment of the performance of NAM-CMAQ air quality forecast with measurements from surface networks and specialized field campaigns
AU: * Mathur, R
EM: mathur.rohit@epa.gov
AF: ASMD/ARL/OAR/NOAA, U.S. EPA, Mail Drop E243-03, RTP, NC 27711, United States
AU: Yu, S
EM: yu.shaocai@epa.gov
AF: STC, U.S. EPA, Mail Drop E243-03, RTP, NC 27711, United States
AU: Kang, D
EM: kang.daiwen@epa.gov
AF: STC, U.S. EPA, Mail Drop E243-03, RTP, NC 27711, United States
AU: Pleim, J
EM: pleim.jon@epa.gov
AF: ASMD/ARL/OAR/NOAA, U.S. EPA, Mail Drop E243-03, RTP, NC 27711, United States
AU: Lin, H
EM: lin.hsin-mu@epa.gov
AF: STC, U.S. EPA, Mail Drop E243-03, RTP, NC 27711, United States
AU: Schere, K
EM: schere.kenneth@epa.gov
AF: ASMD/ARL/OAR/NOAA, U.S. EPA, Mail Drop E243-03, RTP, NC 27711, United States
AU: Pouliot, G
EM: pouliot.george@epa.gov
AF: ASMD/ARL/OAR/NOAA, U.S. EPA, Mail Drop E243-03, RTP, NC 27711, United States
AU: Young, J
EM: young.jeff@epa.gov
AF: ASMD/ARL/OAR/NOAA, U.S. EPA, Mail Drop E243-03, RTP, NC 27711, United States
AU: Otte, T
EM: otte.tanya@epa.gov
AF: ASMD/ARL/OAR/NOAA, U.S. EPA, Mail Drop E243-03, RTP, NC 27711, United States
AU: Tong, D
EM: tong.daniel@epa.gov
AF: STC, U.S. EPA, Mail Drop E243-03, RTP, NC 27711, United States
AU: McQueen, J
EM: jeff.mcqueen@noaa.gov
AF: NCEP/NWS/NOAA, 5200 Auth Road, Camp Springs, MD 20746, United States
AU: Lee, P
EM: pius.lee@noaa.gov
AF: SAIC, 5200 Auth Road, Camp Springs, MD 20746, United States
AU: Tang, Y
EM: youhua.tang@noaa.gov
AF: SAIC, 5200 Auth Road, Camp Springs, MD 20746, United States
AU: Tsidulko, M
EM: marina.tsidulko@noaa.gov
AF: SAIC, 5200 Auth Road, Camp Springs, MD 20746, United States
AU: Davidson, P
EM: paula.davidson@noaa.gov
AF: OST/NWS/NOAA, 1325 East West Highway, Silver Spring, MD 20910, United States
AB: It is desirable for local air quality agencies to accurately forecast tropospheric ozone and fine particulate matter (PM2.5) concentrations to alert the sensitive population of the onset, severity and duration of unhealthy air, and to encourage the public and industry to reduce emissions-producing activities. The availability of increased computational power coupled with advances in the computational structure of the models has now enabled the use of comprehensive atmospheric chemistry/transport models in real-time air quality forecasting. An air-quality forecasting (AQF) system based on the National Weather Service (NWS) Weather Research and Forecast Nonhydrostatic Mesoscale Model (WRF-NMM) North American Mesoscale (NAM) model and the U.S. EPA's Community Multiscale Air Quality (CMAQ) Modeling System was used to simulate in real-time the distributions of tropospheric ozone and PM2.5 over the Continental United States during 2006. The refinements and adaptation of the CMAQ model for O3 and PM2.5 forecast applications will be discussed. The ability of the model to forecast the co-evolution of surface level ozone and PM2.5 pollution will be assessed through comparisons with regional ozone and continuous PM2.5 measurements from the AIRNOW system. The strengths and weaknesses of the modeling system in representing the distributions of O3, related photochemical species, and fine PM chemical constituents is analyzed through comparisons with speciated measurements from the surface networks as well as specialized measurements collected on various platforms deployed during the 2006 Texas Air Quality and 2004 ICARTT field studies.
DE: 0305 Aerosols and particles (0345, 4801, 4906)
DE: 0322 Constituent sources and sinks
DE: 0345 Pollution: urban and regional (0305, 0478, 4251)
SC: Atmospheric Sciences [A]
MN: 2007 Fall Meeting