Using SEVIRI fire observations to drive smoke plumes in the CMAQ air quality model: a case study over Antalya in 2008
Among the atmospheric emission sources, wildfires are episodic events characterized by large spatial and temporal variability. Therefore, accurate information on gaseous and aerosol emissions from fires for specific regions and seasons is critical for air quality forecasts. The Spinning Enhanced Vis...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2015-07-01
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Series: | Atmospheric Chemistry and Physics |
Online Access: | http://www.atmos-chem-phys.net/15/8539/2015/acp-15-8539-2015.pdf |
Summary: | Among the atmospheric emission sources, wildfires are episodic events
characterized by large spatial and temporal variability. Therefore, accurate
information on gaseous and aerosol emissions from fires for specific regions and
seasons is critical for air quality forecasts. The Spinning Enhanced Visible and Infrared Imager (SEVIRI) in geostationary orbit provides fire
observations over Africa and the Mediterranean with a temporal
resolution of 15 min. It thus resolves the complete fire life cycle and
captures the fires' peak intensities,
which is not possible in Moderate Resolution Imaging Spectroradiometer (MODIS)
fire emission inventories like the Global Fire Assimilation System (GFAS).
We evaluate two different operational
fire radiative power (FRP) products derived from SEVIRI, by studying
a large forest fire in Antalya, Turkey, in July–August 2008. The EUMETSAT
Land Surface Analysis Satellite Applications Facility (LSA SAF) has higher FRP values during the fire episode than the
Wildfire Automated Biomass Burning Algorithm (WF_ABBA). It is also in better agreement with the co-located, gridded
MODIS FRP. Both products miss small fires that frequently occur in the region
and are detected by MODIS. Emissions are derived from the FRP products. They
are used along-side GFAS emissions in smoke plume simulations with the Weather
Research and Forecasting (WRF) model and
the Community Multiscale Air Quality (CMAQ) model. In comparisons with MODIS aerosol optical thickness (AOT)
and Infrared Atmospheric Sounding Interferometer (IASI), CO and NH<sub>3</sub> observations
show that including the diurnal
variability of fire emissions improves the spatial distribution and peak
concentrations of the simulated smoke plumes associated with this large fire.
They also show a large discrepancy between the currently available
operational FRP products, with the LSA SAF being the most appropriate. |
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ISSN: | 1680-7316 1680-7324 |