Document


Title

Intercomparison of near-real-time biomass burning emissions estimates constrained by satellite fire data
Document Type: Journal Article
Author(s): J. Al-Saadi; A. Soja; R. B. Pierce; J. Szykman; C. Wiedinmyer; L. Emmons; S. Kondragunta; X. Y. Zhang; Chieko Kittaka; T. Schaack; K. Bowman
Publication Year: 2008

Cataloging Information

Keyword(s):
  • air quality
  • atmospheric composition
  • biomass
  • biomass burning
  • biomass burning
  • carbon
  • CO - carbon monoxide
  • emission
  • evolution
  • fire management
  • fire size
  • fuel loading
  • particulates
  • remote sensing
  • wildfire
  • wildfires
Topic(s):
Record Maintained By:
Record Last Modified: September 17, 2018
FRAMES Record Number: 47976
Tall Timbers Record Number: 24017
TTRS Location Status: In-file
TTRS Call Number: Fire File
TTRS Abstract Status: Fair use, Okay, Reproduced by permission

This bibliographic record was either created or modified by the Tall Timbers Research Station and Land Conservancy and is provided without charge to promote research and education in Fire Ecology. The E.V. Komarek Fire Ecology Database is the intellectual property of the Tall Timbers Research Station and Land Conservancy.

Description

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. © 2008 Society of Photo-Optical Instrumentation Engineers.

Citation:
Al-Saadi, J. et al. 2008. Intercomparison of near-real-time biomass burning emissions estimates constrained by satellite fire data. Journal of Applied Remote Sensing, v. 2, p. 21504-21523. 10.1117/1.2948785.