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The impact of satellite-derived biomass burning emission estimates on air quality

  • George Pouliot
  • , Thomas Pierce
  • , Xiaoyang Zhang
  • , Shobha Kondragunta
  • , Christine Wiedinmyer
  • , Thompson Pace
  • , David Mobley
  • United States Environmental Protection Agency
  • National Oceanic and Atmospheric Administration
  • National Center for Atmospheric Research

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Various methods to generate satellite-based biomass burning emission estimates have recently been developed for their use in air quality models. Each method has different assumptions, data sources, and algorithms. This paper compares three different satellitebased biomass burning emission estimates against a control case of no biomass burning and ground-based biomass estimate in an air quality model. We have chosen August 2002 for comparison, since all data sets were readily available. In addition, there was significant wildfire activity during this month. Our results suggest that there is large uncertainty in the emission estimates which results in both under-prediction and over-prediction of PM2.5 concentration fields.

Original languageEnglish
Title of host publicationRemote Sensing of Fire
Subtitle of host publicationScience and Application
DOIs
StatePublished - 2008
Externally publishedYes
EventRemote Sensing of Fire: Science and Application - San Diego, CA, United States
Duration: Aug 10 2008Aug 10 2008

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7089
ISSN (Print)0277-786X

Conference

ConferenceRemote Sensing of Fire: Science and Application
Country/TerritoryUnited States
CitySan Diego, CA
Period08/10/0808/10/08

Keywords

  • Biomass burning emission inventory
  • Ground-based
  • Satellite-based
  • Wildfires

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