Intercomparison of near-real-time biomass burning emissions estimates constrained by satellite fire data

AMS Citation:
Al-Saadi, J., and Coauthors, 2008: Intercomparison of near-real-time biomass burning emissions estimates constrained by satellite fire data. Journal of Applied Remote Sensing, 2, 021504, doi:10.1117/1.2948785.
Date:2008-05-30
Resource Type:article
Title:Intercomparison of near-real-time biomass burning emissions estimates constrained by satellite fire data
Abstract: We compare biomass burning emissions estimates from four different techniques that use satellite based fire products to determine area burned over regional to global domains. Three of the techniques use active fire detections from polar-orbiting MODIS sensors and one uses detections and instantaneous fire size estimates from geostationary GOES sensors. Each technique uses a different approach for estimating trace gas and particulate emissions from active fires. Here we evaluate monthly area burned and CO emission estimates for most of 2006 over the contiguous United States domain common to all four techniques. Two techniques provide global estimates and these are also compared. Overall we find consistency in temporal evolution and spatial patterns but differences in these monthly estimates can be as large as a factor of 10. One set of emission estimates is evaluated by comparing model CO predictions with satellite observations over regions where biomass burning is significant. These emissions are consistent with observations over the US but have a high bias in three out of four regions of large tropical burning. The large-scale evaluations of the magnitudes and characteristics of the differences presented here are a necessary first step toward an ultimate goal of reducing the large uncertainties in biomass burning emission estimates, thereby enhancing environmental monitoring and prediction capabilities.
Subject(s):Wildfire, Atmospheric composition
Peer Review:Refereed
Copyright Information:Copyright 2008 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
OpenSky citable URL: ark:/85065/d7hd7vv4
Publisher's Version: 10.1117/1.2948785
Author(s):
  • Jassim Al-Saadi
  • Amber Soja
  • Robert Pierce
  • James Szykman
  • Christine Wiedinmyer - NCAR/UCAR
  • Louisa Emmons - NCAR/UCAR
  • Shobha Kondragunta
  • Xiaoyang Zhang
  • Chieko Kittaka
  • Todd Schaack
  • Kevin Bowman
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