October 1-3, th Annual CMAS Meeting Comparison of CMAQ and CAMx for an Annual Simulation over the South Coast Air Basin Jin Lu 1, Kathleen Fahey 1, Bruce Jackson 1, Paul Livingstone 1, Daniel Chau 1, and Ajith Kaduwela 1,2 1 Planning and Technical Support Division Air Resources Board California Environmental Protection Agency 2 Department of Land, Air and Water Resources University of California at Davis
October 1-3, 20076th Annual CMAS Meeting2 DISCLAIMER The content of this presentation does not necessarily reflect the views and policies of the California Air Resources Board, nor does mention of trade names or commercial products constitute endorsement or recommendation for use.
October 1-3, 20076th Annual CMAS Meeting3 South Coast Air Basin One of the most polluted regions and the most studied region in the world.
October 1-3, 20076th Annual CMAS Meeting4 South Coast Air Basin 116×80 5 km 2 grid cells
October 1-3, 20076th Annual CMAS Meeting5 Simulation Setup for 2005 MM5 (South Coast AQMD) Emissions – CARB/SCAQMD Measurements: Rubidoux – Riverside (RUB) and Los Angeles (LA) –PM species concentrations: STN database PM2.5, NO3, SO4, NH4, OC, EC –Hourly gaseous species concentrations: AIRS/AQS database O 3, CO, NO, NO 2, SO 2 Model predictions –PM - 9 grid cells 24-hr average concentration –O 3, - 1 grid cell hourly Meteorology
October 1-3, 20076th Annual CMAS Meeting6 Model Configuration OptionsCMAQCAMx Horizontal advectionPPMBOTT Vertical advectionPPMBOTT Vertical diffusionEddy diffusion Mini. vert. diffusivity0.1 m 2 s -1 Gas phase chemistryCB4 Gas phase chem. solverEBICMC Aqueous chemistryRADM Aerosol chemistryAE3EFC Aerosol representation3 lognormal modes2 sections Vertical layers98 Spin-up days78 CMAQ Version 4.6 vs. CAMx Version 4.2
October 1-3, 20076th Annual CMAS Meeting7 Species Mapping: CMAQ vs. CAMx CompoundCMAQCAMx NO3ANO3I + ANO3JNO3F SO4ASO4I + ASO4JSO4F NH4ANH4I + ANH4JNH4F ECAECI + AECJECF OCAORGAI + AORGAJ + AORGPAI + AORGPAJ + AORGBI + AORGBJ SOA1 + SOA2 + SOA3 + SOA4 + SOA5 + POMF PM2.5ANO3I + ANO3J + ASO4I + ASO4J + ANH4I + ANH4J + AORGAI + AORGAJ + AORGPAI + AORGPAJ + AORGBI + AORGBJ + AECI + AECJ + A25J NO3F + SO4F + NH4F + ECF + SOA1 + SOA2 + SOA3 + SOA4 + SOA5 + POMF + OTRF
October 1-3, 20076th Annual CMAS Meeting8 Outline of Comparison and Analysis Scatter Plots –CMAQ vs. Observation –CAMx vs. Observation –CMAQ vs. CAMx –PM species, annual plots at Rubidoux –O 3, quarterly plots at Rubidoux Box Plots –PM species, weekly –Gas species, 24-hour Statistics FBIAS - Fractional BiasFERRFractional Error NMB - Normalized Mean Bias NMENormalized Mean Error
October 1-3, 20076th Annual CMAS Meeting9 PM 2.5 Scatter Plots
October 1-3, 20076th Annual CMAS Meeting10 PM 2.5 Box Plots
October 1-3, 20076th Annual CMAS Meeting11 PM Species Scatter Plots
October 1-3, 20076th Annual CMAS Meeting12 O 3 Scatter Plots
October 1-3, 20076th Annual CMAS Meeting13 O 3 Box Plots
October 1-3, 20076th Annual CMAS Meeting14 Statistics – Gaseous Species O3CONONO2SO2 %CMAQCAMxCMAQCAMxCMAQCAMxCMAQCAMxCMAQCAMx RUB FBIAS FERR NMB NME LA FBIAS FERR NMB NME
October 1-3, 20076th Annual CMAS Meeting15 Statistics – PM species PM2.5SO4NO3NH4OCEC %CMAQCAMxCMAQCAMxCMAQCAMxCMAQCAMxCMAQCAMxCMAQCAMx RUB FBIAS FERR NMB NME LA FBIAS FERR NMB NME
October 1-3, 20076th Annual CMAS Meeting16 Statistics at Rubidoux
October 1-3, 20076th Annual CMAS Meeting17 Conclusions Annual simulations over South Coast Air Basin performed with both CMAQ and CAMx CMAQ and CAMx model performance evaluated at Roubidoux and Los Angeles Model predictions correlate well with each other Model predictions correlate reasonably well with observations
October 1-3, 20076th Annual CMAS Meeting18 International Aerosol Modeling Algorithms (I AM A) Conference Bi-annual in-depth look at the inner-workings of aerosol models (complements the annual CMAS Meeting) Wednesday, December 5 th – Friday, December 7 th, 2007 (just before the AGU meeting in San Francisco) University of California at Davis Impressive list of U.S. and international invited speakers Information at