Statistics – Methodology
Scientific paper
Feb 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004georl..3103103m&link_type=abstract
Geophysical Research Letters, Volume 31, Issue 3, CiteID L03103
Statistics
Methodology
22
Atmospheric Composition And Structure: Aerosols And Particles (0345, 4801), Atmospheric Composition And Structure: Biosphere/Atmosphere Interactions, Global Change: Atmosphere (0315, 0325), Global Change: Biogeochemical Processes (4805), Atmospheric Composition And Structure: Troposphere-Composition And Chemistry
Scientific paper
The TOMS aerosol index (AI) is proposed as a powerful tool in determining the sources of mineral aerosols. The sensitivity of the AI to the height of the aerosol layer has been noted previously, but the implications of this sensitivity for deducing sources has not been explicitly considered. Here, we present a methodology and sensitivity test to show the importance of spatial and temporal variations of the planetary boundary layer height to deducing sources using the AI. These results suggest that while dry topographic low sources may be large sources of desert dust, conclusions eliminating other sources may be premature, especially when these sources occur on the edges of deserts, where boundary layer heights are lower, and human influences potentially more important. The compounding problem of differentiating downwind transport and local sources suggests it may not currently be possible to use the AI to conclusively determine mineral aerosol source regions.
Dufresne Jean-Louis
Mahowald Natalie M.
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