1 / 9

Sarav Arunachalam and Uma Shankar Institute for the Environment

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

efrance
Download Presentation

Sarav Arunachalam and Uma Shankar Institute for the Environment

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Improving an Air Quality Decision Support System through the Integration of Satellite Data with Ground-Based, Modeled, and Emissions DataDemonstration 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

  2. 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

  3. 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 EPA’s National Emissions Inventories (NEI) 2005 • Will probably be updated for the 2006/2007 model year • Future year emissions scenarios (2018, 2020, ?)

  4. Modeling Domain for CMAQ

  5. 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

  6. 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 NOAA’s 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

  7. Sample Outputs from AMET

  8. Questions / Discussion

More Related