Title: Development and Evaluation of the FINNv.2 Global Model Application and Fire Emissions Estimates for the Expanded Texas Air Quality Modeling Domain

Institution(s) Represented: The University of Texas at Austin - Elena McDonald-Buller, Sonoma Technology, Inc. - Fred Lurmann, University of Colorado Boulder - Christine Wiedinmyer

Lead PI: Elena McDonald-Buller

AQRP Project Manager: David Sullivan

TCEQ Project Liaison: Stephanie Shirley

Awarded Amount: $172,114.00

Abstract

Wildland fires and open burning can be substantial sources of ozone precursors and particulate matter. Air quality in Texas can be affected by fire events that occur locally, regionally, or across longer distances from within the United States or across its international borders. With this recognition, the Texas Commission on Environmental Quality's (TCEQ's) future air quality model domain has been extended to include all of Mexico and large parts of Central America and the Caribbean. The Fire INventory from the National Center for Atmospheric Research (FINN) model estimates daily emissions of trace gases and particles from open biomass burning.

The objectives of this project are to leverage new findings and data products from ongoing laboratory studies, surface and airborne field measurement campaigns, and satellite-based sensors in the development of FINN and to produce a fully operational, next generation global FINN application. The FINN v.2 Global Application will be used to develop fire emissions estimates for 2012-2017, a time period that includes 2016, which is the base year for the U.S. Environmental Protection Agency's (EPA's) national air quality modeling platform and likely the basis for the TCEQ's future air quality modeling. FINN performance will be assessed using a new satellite algorithm, the Multi-Angle Implementation of Atmospheric Correction (MAIAC), for aerosol optical depth (AOD) retrievals, with a focus on fire events that originate from within Mexico, Central America, or the Caribbean and influence Texas air quality. The project is a collaborative effort between the University of Texas at Austin (UT Austin), Sonoma Technology, Inc. (STI), and Dr. Christine Wiedinmyer.

Work Plan: projectinfoFY18_19\18-022\18-022 Scope.pdf
Technical Report(s): projectinfoFY18_19\18-022\18-022 MTR Oct 2018.pdf
Technical Report(s): projectinfoFY18_19\18-022\18-022 MTR Nov 2018.pdf
Technical Report(s): projectinfoFY18_19\18-022\18-022 MTR Dec 2018.pdf
Technical Report(s): projectinfoFY18_19\18-022\18-022 MTR Jan 2019.pdf
Technical Report(s): projectinfoFY18_19\18-022\18-022 MTR Feb 2019.pdf
Technical Report(s): projectinfoFY18_19\18-022\18-022 MTR Mar 2019.pdf
Technical Report(s): projectinfoFY18_19\18-022\18-022 MTR Apr 2019.pdf
Technical Report(s): projectinfoFY18_19\18-022\18-022 MTR May 2019.pdf
Technical Report(s): projectinfoFY18_19\18-022\18-022 MTR Jun 2019.pdf
Technical Report(s): projectinfoFY18_19\18-022\18-022 MTR Jul 2019.pdf

QAPP: projectinfoFY18_19\18-022\18-022 QAPP.pdf

Final Report: projectinfoFY18_19\18-022\18-022 Final Report.pdf