HR: 0800h
AN: A51A-01 [Abstracts]
TI: Quantitative evaluation of smoke source strengths and impacts by infusing satellite fire- strength measurements in transport models.
AU: * Ichoku, C
EM: ichoku@climate.gsfc.nasa.gov
AF: UMD/ESSIC, NASA/GSFC, Code 613.2, Greenbelt, MD 20771, United States
AU: Chin, M
EM: mian.chin@nasa.gov
AF: NASA/GSFC, Code 613.3, Greenbelt, MD 20771, United States
AU: Diehl, T
EM: thomas.diehl@gsfc.nasa.gov
AF: UMBC/GEST, NASA/GSFC, Code 613.3, Greenbelt, MD 20771, United States
AU: Wooster, M
EM: martin.wooster@kcl.ac.uk
AF: Kings College London, Department of Geography, London, United Kingdom
AU: Roberts, G
EM: gareth.roberts@kcl.ac.uk
AF: Kings College London, Department of Geography, London, United Kingdom
AU: Giglio, L
EM: louis_giglio@ssaihq.com
AF: SSAI, NASA/GSFC, Code 614.4, Greenbelt, MD 20771, United States
AB:
Chemical transport models currently derive their smoke emission sources from counts of fire hot spots detected
from satellites, usually with single daily overpasses. However, fires vary in size and strength, with a significant
diurnal trend, making the use of pixel counts measured at the same time of day very unreliable for estimating
smoke sources. Fortunately, the Moderate-resolution Imaging Spectro-radiometer (MODIS) twin sensors onboard
the Terra and Aqua satellites, not only detect fires everywhere at four strategic times of day, but also measure
their strength in the form of fire radiative power (FRP) or rate of release of fire radiative energy (FRE). FRP is now
also being derived from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) sensor onboard the
geostationary Meteosat-8 platform, which observes Africa and Europe virtually every 15 mins. The SEVIRI
measurements show that MODIS 4-times-a-day measurements capture the essence of the fire diurnal cycle.
Therefore, MODIS is currently the only satellite data source ideal for estimating daily smoke emissions globally. In
a number of recent studies, FRP has been found to be directly proportional to both the rate of biomass
consumption and the rate of smoke aerosol emission. Indeed, (1) a combustion factor (Fc), which relates FRE to
burned biomass was established, and (2) a FRE-based emission coefficient (Ce), which is a simple coefficient
to convert FRP (or FRE) to smoke aerosol emissions was derived for different parts of the world. The results
obtained from satellite have been reproduced in the laboratory, and the ingestion of FRP in models is now being
tested using the Goddard Global Ozone Chemistry Aerosol Radiation and Transport (GOCART) model. Although
MODIS has been in operation since the last 6 years, regrettably, this rare but formidable data resource it provides
(FRP) has been left largely unutilized. In this presentation, we will show the preliminary results of using FRP to
improve the smoke emission source characterization and impacts analysis in different parts of the globe.
DE: 0305 Aerosols and particles (0345, 4801, 4906)
DE: 0478 Pollution: urban, regional and global (0345, 4251)
DE: 0480 Remote sensing
DE: 1610 Atmosphere (0315, 0325)
SC: Atmospheric Sciences [A]
MN: 2007 Joint Assembly