Satellite remote sensing of boreal forest fires over Northeast Asia during May 2003

Kwon Ho Lee; Jeong Eun Kim; Young Joon Kim; Jhoon Kim; Wolfgang von Hoyningen-Huene

doi:10.1117/12.580775

30 December 2004 Satellite remote sensing of boreal forest fires over Northeast Asia during May 2003

Kwon Ho Lee, Jeong Eun Kim, Young Joon Kim, Jhoon Kim, Wolfgang von Hoyningen-Huene

Proceedings Volume 5652, Passive Optical Remote Sensing of the Atmosphere and Clouds IV; (2004) https://doi.org/10.1117/12.580775
Event: Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2004, Honolulu, Hawai'i, United States

Abstract

Massive smoke plume from forest fires reduced visibility on regional scale in Northeast Asia in May 2003 during boreal forest fire season in Siberia. Smoke aerosol events and their effects are investigated using satellite data from the Moderate Resolution Imaging Spectro-radiometer (MODIS), Measurement of Pollution in the Troposphere (MOPITT), Clouds and the Earth's Radiant Energy System (CERES), and Total Ozone Mapping Spectrometer (TOMS) over Northeast Asia. Extensive forest fires were detected from MODIS fire product (MOD14) data over Siberia. Aerosol optical thickness (AOT) of the smoke aerosol from fires can be retrieved from the MODIS Level 1 data by using the Bremen Aerosol Retrieval (BAER) algorithm. The retrieved mean AOT ranged from 2 to 4 over smoke plume covering Northeast Asia. Over most of the Northeast Asia, CO concentrations was about 3.0 molecules/cm² in this region. The top-of-atmosphere (TOA) shortwave aerosol radiative forcing (SWARF) from CERES has been estimated. The mean TOA SWARF was about 130~290 W/m² over smoke aerosol plume, indicating an aerosol cooling effect.

Citation Download Citation

Kwon Ho Lee, Jeong Eun Kim, Young Joon Kim, Jhoon Kim, and Wolfgang von Hoyningen-Huene "Satellite remote sensing of boreal forest fires over Northeast Asia during May 2003", Proc. SPIE 5652, Passive Optical Remote Sensing of the Atmosphere and Clouds IV, (30 December 2004); https://doi.org/10.1117/12.580775

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KEYWORDS

Aerosols

MODIS

Satellites

Combustion

Atmospheric particles

Artificial intelligence

Flame detectors

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