Special Section on Remote Sensing Applications to Wildland Fire Research in the Eastern United States: Selected Papers from the 2007 EastFIRE Conference

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

[+] Author Affiliations
Jassim Al-Saadi

NASA Langley Research Center, MS 401B, Hampton, VA 23681

Amber J. Soja

Climate Science, National Institute of Aerospace, NASA LaRC, Hampton, VA 23681

Robert B. Pierce

NOAA/NESDIS, Camp Springs, MD

James Szykman

US EPA, Research Triangle Park, NC

Christine Wiedinmyer, Louisa Emmons

NCAR, Boulder, CO

Shobha Kondragunta

NOAA NESDIS, 5200 Auth Road, Camp Springs, MD 20746

Xiaoyang Zhang

NOAA/NESDIS, 5200 Auth Road, Camp Springs, MD 20746

Chieko Kittaka

SSAI, Hampton, VA

Todd Schaack

Space Science and Engineering Center, University of Wisconsin, Madison, WI

Kevin Bowman

Jet Propulsion Laboratory, Pasadena, CA

J. Appl. Remote Sens. 2(1), 021504 (May 30, 2008). doi:10.1117/1.2948785
History: Received October 18, 2007; Revised April 14, 2008; Accepted May 13, 2008; May 30, 2008; Online May 30, 2008
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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.

© 2008 Society of Photo-Optical Instrumentation Engineers

Citation

Jassim Al-Saadi ; Amber J. Soja ; Robert B. Pierce ; James Szykman ; Christine Wiedinmyer, et al.
"Intercomparison of near-real-time biomass burning emissions estimates constrained by satellite fire data", J. Appl. Remote Sens. 2(1), 021504 (May 30, 2008). ; http://dx.doi.org/10.1117/1.2948785


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