Journal of Geophysical Research Atmospheres · 2008 · 100 citations · 45 references
Natural SciencesEarth SciencesMeteorologyAtmospheric ChemistryAtmospheric RadiationAtmospheric ScienceAerosol PhysicsAerosol Radiative EffectsAerosol ScienceAtmospheric OpticsParticulate MatterSolar RadiationAerosol Optical PropertiesAerosol Optical ThicknessAerosol PropertiesAerosol TransportAirborne ParticlesBiomass Burning Aerosol EffectsDust Radiative EffectsSolar Radiative Transfer
During the dry season in the Western Africa region the outbreaks of biomass burning aerosols occur on a background of frequent dust storms. In the frame of the African Monsoon Multidisciplinary Analysis (AMMA) campaign we studied optical properties and radiative effects of aerosol mixture and dust observed from January to March 2006 over M'Bour, Senegal. The aerosol burden during the observing period was notably below the average of previous years. However, variability of aerosol sizes and spectral absorption were found as representative. The lidar obtained extinction profiles suggested aerosol transport in two layers (or one elevated layer) for events with two different aerosol types, called aerosol mixture in the paper. Low‐altitude transport was observed for dust. The broadband solar radiative fluxes and aerosol radiative effects were analyzed by combining measurements and simulations. The simulations relied on retrieved column aerosol properties and are products of Aerosol Robotic Network data processing. The 24‐h average aerosol radiative effect yielded cooling at the bottom and at the top of the atmosphere for all the analyzed events of aerosol mixture and dust. The radiative efficiency (radiative effect scaled by optical thickness) at the bottom of the atmosphere and within the aerosol layer appeared to be stronger in case of mixture than in case of pure dust due to enhanced absorption ability of former. We also evaluated the importance of accounting for dust particles nonsphericity for simulating radiative effects. Our test showed that neglecting of aerosol particle shape can result in pronounced bias, up to 10% overestimation of daily average aerosol radiative effect.
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AERONET—A Federated Instrument Network and Data Archive for Aerosol Characterization
B. N. Holben, T. F. Eck, I. Slutsker et al. · Remote Sensing of Environment · 1998 · 8.5K citations · Full text
The MODIS Aerosol Algorithm, Products, and Validation
L. A. Remer, Yoram J. Kaufman, D. Tanré et al. · Journal of the Atmospheric Sciences · 2005 · 3.4K citations · Full text