Operational Evaluation and Model Response Comparison of CAMx and CMAQ for Ozone - PowerPoint PPT Presentation

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Operational Evaluation and Model Response Comparison of CAMx and CMAQ for Ozone

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Comprehensive Air Quality Model with Extensions (CAMx4) and the Community ... Relationships between CAMx and CMAQ estimated RRF and FYDV by specie. 10 ... – PowerPoint PPT presentation

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Title: Operational Evaluation and Model Response Comparison of CAMx and CMAQ for Ozone


1
Operational Evaluation and Model Response
Comparison of CAMx and CMAQ for Ozone PM2.5
  • Kirk Baker, Brian Timin, Sharon Phillips
  • U.S. Environmental Protection Agency, Research
    Triangle Park, NC
  • Presented at the 2008 CMAS Conference

2
Operational Evaluation Response Comparison
  • Comprehensive Air Quality Model with Extensions
    (CAMx4) and the Community Multiscale Air Quality
    Model (CMAQ), treat the physical processes and
    chemistry that form ozone and PM2.5
  • SIPS are submitted using either model
  • Model performance is typically evaluated on an
    operational basis comparing base year
    predictions to observations
  • Since the modeled attainment demonstration
    includes modeling the relative change between
    current and future year emissions it is important
    to have confidence that modeling systems will
    predict ozone and PM2.5 concentrations
    consistently when emissions change

3
Modeling Background
  • CMAQ v4.6 (aero4)
  • CAMx v4.5
  • CB05 gas phase chemistry
  • RADM aqueous phase chemistry
  • ISORROPIA inorganic chemistry
  • Variations in secondary organic chemistry between
    models
  • Base year 2002
  • Future year 2020
  • 12 km sized grid cells
  • 14 vertical layers up to 15 km
  • 30 m thick first layer

4
Domain Total Emissions (tpd)
5
PM2.5 Bias Metric by Quarter for 2002
6
Annual PM2.5 Model Response
  • Models are used in a relative sense for
    regulatory modeling
  • Relative response factor (RRF) estimated
    concentrations in future year / estimated
    concentrations in base (current) year
  • RRFs are applied to observed design values to
    estimate future year design values
  • RRFbase design value future design value
  • RRFs are calculated for each chemical component
    of PM2.5
  • RRFs estimated using the MATS software tool

7
Annual PM2.5 Future Year Design Values and
Speciated RRFs
8
Quarterly Nitrate Concentration (left) and RRFs
(right)
9
Relationships between CAMx and CMAQ estimated RRF
and FYDV by specie
10
Bias of Daily 8-hr Ozone Maximum
11
8-hr O3 Future Year Design Values and RRFs
12
8-hr O3 Model Response
  • Examined future year design values, RRFs, and
    number of days for RRF calculating by 4 bins of
    model estimate 8-hr ozone
  • 85
  • 75 to 85
  • 65 to 75
  • 55 to 65
  • Assess how model response changes based on
    predicted concentrations

13
8-hr O3 RRFs by Model Prediction Bin (4 bins)
CAMx
CMAQ
14
8-hr O3 RRFs by Model Prediction Bin (4 bins)
15
8-hr O3 number of days in RRF calc. by Model
Prediction Bin (4 bins)
16
8-hr FYDV, RRF, and days used for 85 ppb bin
17
Remarks
  • CMAQ and CAMx modeling systems consistently
    predict ambient concentrations of 8-hr ozone and
    PM2.5, which is encouraging since they are used
    to support modeled attainment demonstrations for
    NAAQS
  • The relative response factors and future year
    design values of 8-hr ozone and annual PM2.5 are
    very similar using both CAMx and CMAQ even though
    there are differences in base year model
    predictions
  • Larger 8-hr O3 reductions are seen at higher
    model predicted concentrations
  • Using a different modeling system should give
    similar predicted future year design values when
    inputs and key physics options are consistent

18
Future Work
  • 24-hr PM2.5 model response
  • A more thorough dynamic evaluation is needed to
    determine if these modeling systems appropriately
    respond to emissions changes

19
END
20
(No Transcript)
21
PM2.5 Model Performance
CAMx
CMAQ
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