Remote sensing retrievals of fine mode aerosol optical depth and impacts on its correlation with CO from biomass burning

Details Remote sensing retrievals of fine mode aerosol optical depth and impacts on its correlation with CO from biomass burning Remote sensing retrievals of fine mode aerosol optical depth and impacts on its correlation with CO from biomass burning

Jun 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007georl..3412806k&link_type=abstract

Geophysical Research Letters, Volume 34, Issue 12, CiteID L12806

Physics

2

Atmospheric Composition And Structure: Aerosols And Particles (0345, 4801, 4906), Atmospheric Composition And Structure: Pollution: Urban And Regional (0305, 0478, 4251), Atmospheric Composition And Structure: Instruments And Techniques, Atmospheric Processes: Remote Sensing, Global Change: Remote Sensing (1855)

Scientific paper

It has been suggested that simultaneous satellite measurements of mid-visible fine mode aerosol optical depth τ f and CO concentrations can aid in improving the characterization of biomass burning in chemical transport models. However different approaches for retrieving τ f have recently been proposed. Using MODIS and MOPITT data, we examine the impact these have on the regression slope between enhancements of τ f and CO (Δτ f/ΔCO) for representative biomass burning cases, including savanna and extratropical forests. Both MODIS Collection 4 and recent Collection 5 aerosol products are used in our study. We find that τ f varies systematically with retrieval method causing systematic differences in the slope of regression. Regardless of method used, noticeable differences in regression slope are observed for different types of biomass burning. Our results point out the need for consistency in defining τ f between satellite measurements and models if the Δτ f/ΔCO ratio is to be used as a constraint.

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