Improving an Air Quality Decision Support System through the Integration of Satellite Data with Ground-Based, Modeled, and Emissions Data Demonstration Application with CMAQ

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Improving an Air Quality Decision Support System
through the Integration of Satellite Data with
Ground-Based, Modeled, and Emissions Data
Demonstration Application with CMAQ

• Sarav Arunachalam and Uma Shankar
• Institute for the Environment
• University of North Carolina at Chapel Hill
• Presented at the
• NASA ROSES DSS Design Workshop
• Cooperative Institute for Research in the
  Atmosphere
• Ft Collins, CO
• May 12-13, 2008

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• Developed under the community modeling paradigm
• Modular, One-atmosphere, Portable
• Integrated one-atmosphere treatment of
  tropospheric O3, acid deposition, visibility,
  fine PM, toxics, mercury
• Extensively used and evaluated by the scientific
  as well as regulatory community
• Bi-annual external peer-reviews to advance
  state-of-the science in the model
• CMAQ Version 4.6 released in Fall 2006
• Version 4.7 expected in Fall 2008
• Requires inputs from emissions and meteorology
  models, ICs and BCs
• CMAQ Chemical Transport Model preprocessors
• UNC hosts the Center for Community Modeling and
  Analyses System (CMAS)
• CMAS provides support, outreach and training of
  CMAQ for a worldwide user community
• http//www.cmaq-model.org

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CMAQ Demonstration Application for DSS

• Model year 2006 or later to take advantage of
  OMI (2004) and CALIPSO (2006) measurements
• EPA currently developing 2006/2007 annual
  application
• Committed to sharing inputs and outputs for
  project team
• Continental U.S. modeling domain at 36-km
  horizontal grid resolution
• Emissions estimates from EPAs National Emissions
  Inventories (NEI) 2005
• Will probably be updated for the 2006/2007 model
  year
• Future year emissions scenarios (2018, 2020, ?)

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Modeling Domain for CMAQ
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Enhancements in CMAQ Application

• Improve lateral and vertically varying boundary
  conditions for CMAQ using 2007 satellite data
• Replace fire emissions estimates in NEI using
  refined estimates from Fire Scenario Builder /
  Bluesky-EM models (Shankar et al, 2006)
• Evaluate CMAQ model performance against 3-D
  satellite measurements
• Closely interact with UMBC personnel for proper
  interpretation of satellite data

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Atmospheric Model Evaluation Tool (AMET)
Enhancements

• EPA developed AMET to evaluate CMAQ, MM5 and WRF
  against surface measurements (Gilliam et al,
  2005)
• AQ networks include AQS, CASTNet, STN, IMPROVE,
  SEARCH
• Meteorological data from NOAAs Meteorological
  Assimilation Data Ingest System (MADIS)
• AMET has 3 main components
• Observation-model matching module (perl)
• Relational database module (MySQL)
• Statistical (and graphical) analysis module (R )
• UNC has recently integrated meteorological and
  air quality components of AMET into a single
  package
• We will enhance AMET to include capability to
  process satellite measurements for DSS

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Sample Outputs from AMET
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Questions / Discussion