1 / 11

GOES-R Air Quality Proving Ground (AQPG) Overview

GOES-R Air Quality Proving Ground (AQPG) Overview. Shobha Kondragunta, NOAA/NESDIS Center for Satellite Applications and Research (STAR) Chair, GOES-R Aerosols/Air Quality/Atmospheric Chemistry Application Team. What is AQPG?.

baby
Download Presentation

GOES-R Air Quality Proving Ground (AQPG) Overview

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. GOES-R Air Quality Proving Ground (AQPG) Overview Shobha Kondragunta, NOAA/NESDIS Center for Satellite Applications and Research (STAR) Chair, GOES-R Aerosols/Air Quality/Atmospheric Chemistry Application Team

  2. What is AQPG? Day 1 user readiness: purpose of AQPG is to ensure that user community is ready for GOES-R Advanced Baseline Imager (ABI) air quality products immediately after launch

  3. ABI Air Quality Products • Aerosol detection (smoke/dust) • Aerosol optical depth • Aerosol particle size • Total ozone • Fire hot spots and characterization • Aerosol and trace gas emissions • Visibility AQ team – Build 1 Land team – Build 1 AQ team – Build 2 AQ/Aviation team – Tailored product AQ team – Tailored product

  4. Inputs from AQPG Team • D. Byun, NOAA/OAR/ARL - Collaborator • S. Christopher, UAH – Co-PI • P. Dickerson, EPA - Advisor • R. Hoff, UMBC – Co-PI • S. Kondragunta, NOAA/NESDIS – Project coordinator • F. Moshary, CCNY – Co-I • B. Pierce, NOAA/NESDIS – Co-I • J. Szykman, EPA - Collaborator

  5. User Community and Focus Group • National Weather Service/National Center for Environmental Prediction • Environmental Protection Agency • State and local environmental agencies • Weather Forecasting Offices • Federal Aviation Administration • United States Department of Agriculture/United States Forest Service • State and local air quality forecasters

  6. FY09 Activities • Task 1:Kickoff meeting in August 2009 • Task 2: Satellite imagery for different air quality events • Task 3: Generation of GOES-R ABI proxy data • Task 4: First AQPG workshop

  7. Task 1: Kickoff Meeting • Kickoff meeting in UMBC in August/September 2009. New hire is expected to be onboard to organize the workshop • Meeting output expected to be: • Goals • Guidance and timelines for the activities of the new hire and user group • Specific target dates for presentation of air quality event cases to the user group

  8. Task 2: Satellite Imagery • UMBC new hire will coordinate with different instrumented sites and the user group to compile and distribute MODIS and GOES imagery • Telecon meeting with users to discuss the imagery interpretation and usefulness for air quality forecasters • Obtain feedback from users on visualization tools and data formats for GOES-R products

  9. Task 3: GOES-R ABI Proxy Data • STAR contractor will run GOES-R ABI simulator to generate proxy radiance data for air quality events picked • STAR contractor will run ABI retrieval algorithm on the proxy radiance data • STAR/CIMSS will run high resolution WRF-CHEM model and generate ABI proxy data • STAR contractor will run ABI retrieval algorithm on the proxy radiance data • GOES-R ABI retrievals from 15-minutes will be interpreted to 5-minute imagery/products

  10. Task 4: First AQPG Workshop • First AQPG workshop will be held at UMBC in August 2010 • Interactive discussion with members of user/focus group to obtain feedback on ABI products/imagery • Future AQPG activities will be highlighted

  11. STAR UMBC EPA Workplan for First Year Activities Compile satellite data for different air quality events • Develop imagery display tools for these products • STAR will generate ABI proxy data for these events • STAR will run ABI algorithms for these test cases • Present test cases and ABI products/imagery to user group • Compile feedback and make any changes needed to the tools Workshop Test applications

More Related