Aerosol climatology using a tunable spectral variability cloud screening of AERONET data

Details Aerosol climatology using a tunable spectral variability cloud screening of AERONET data Aerosol climatology using a tunable spectral variability cloud screening of AERONET data

Apr 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006georl..3307817k&link_type=abstract

Geophysical Research Letters, Volume 33, Issue 7, CiteID L07817

Physics

Geophysics

6

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, Exploration Geophysics: Remote Sensing, Global Change: Atmosphere (0315, 0325)

Scientific paper

Aerosols, humidity and clouds are often correlated. Therefore, rigorous cloud screening can systematically bias toward less cloudy and drier conditions, underestimating the average aerosol optical thickness (AOT). Here, using AERONET data we show that systematic rejection of variable atmospheric optical conditions can generate such bias in the average AOT. Therefore we recommend two approaches to deal with cloud contamination: (1) to introduce more powerful spectral variability cloud screening and (2) to retain most of the data despite cloud contamination, estimate average cloud contamination and to correct for it. Both methods are applied to aerosol with Ångström exponent > 0.3 and compared with the AERONET cloud screened level 1.5 data. The new methods do not apply for pure dust. Analysis for 10 AERONET stations with ~4 years of data, shows almost no change for Rome (Italy), but up to a change in AOT of 0.12 or +30% in Beijing (PRC).

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