AEROMAP - Global Aerosol Mixtures

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PUBLICATIONS

Taylor, M., Kazadzis, S., Amiridis, V., Kahn, R.A. (2015) Global aerosol mixtures and their multiyear and seasonal characteristics. Atmospheric Environment 116:112-129.
[PDF]  [Supplment]  [Link to journal]

Taylor, M., Kazadzis, S., Amiridis, V., Kahn, R.A. (2015) A climatology of global aerosol mixture s to support Sentinel-5P and EarthCARE mission applications. ATMOS 2015 Advances in Atmospheric Science and Applications, Heraklion, Crete, 8-12 June, 2015.
[Abstract]  [Paper]  [Poster]

2nd Gregory G. Leptoukh Online Giovanni Workshop 2014, Hosted by NASA/GES-DISC, 12-14 November 2014:
Taylor M (2014) "How a synergy of GOCART, MODIS and AERONET data can be used to train neural networks for producing global aerosol volume size distributions from space".
[Abstract]  [PPT Talk]


DATA

  • Global gridded (1x1 degree) cluster indices for multiyear mean global aerosol mixtures [Multiyear]
  • Global gridded (1x1 degree) cluster indices for seasonal mean global aerosol mixtures: [DJF], [MAM], [JJA] and [SON]
  • Table of descriptive statistics (mean, standard deviation, median and inter-quartile range) of the 5-component (BC, OC, SU, DU and SS) percentage composition for each cluster of the multiyear mean global partition [Multiyear]
  • Tables of descriptive statistics (mean, standard deviation, median and inter-quartile range) of the 5-component (BC, OC, SU, DU and SS) percentage composition for each cluster of seasonal mean global partitions: [DJF], [MAM], [JJA] and [SON]
  • A table of 50 optical and microphysical aerosol parameters extracted from the AERONET inversion data record for each cluster of the mean multiyear global partition [Multiyear]
  • Tables of 50 optical and microphysical aerosol parameters extracted from the AERONET inversion data record for each cluster of the mean seasonal global partitions [DJF], [MAM], [JJA] and [SON]


RELATED WORK & links

  • Model-Derived Global Aerosol Climatology for MISR Analysis: the [Clim-Likely] dataset
  • Kahn, Ralph, Pranab Banerjee, and Duncan McDonald (2001). The sensitivity of multi-angle imaging to natural mixtures of aerosols over ocean. J. Geophysical Res., 106 (D16), 18219-18238. [Abstract] [PDF]