Statistical model for aerosol size distribution parameters according to weather parameters

I. Dror, N. S. Kopeika

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


Predictions of atmospheric transmittance in desert aerosol environments using MODTRAN code diverge significantly from measured data. Good prediction of the desert particulate size distribution is required in order to predict atmospheric scattering and absorption parameters. It is also essential to the prediction of the aerosol atmospheric modulation transfer function which is often the dominant component of the overall atmospheric MTF.1 Recently2 an effort to predict desert coarse aerosol statistics but not size distribution according to simple weather parameters has been made. A quantitative analysis of the desert particulate size distribution models was also performed3. In this research the size distribution parameters measured by optical counters are related to weather parameters. Known statistical and analytical models such as MODTRAN relate the size distribution parameters only to relative humidity for continental atmospheres. Although humidity has a significant role in the prediction of aerosol size statistics, other weather parameters can also strongly influence the size distribution parameters. Comparisons such as the above can be used to predict under which conditions the MODTRAN aerosol models have good or poor accuracy. It is also hoped that they will lead to improvements in MODTRAN, improving the accuracy of the humidity dependence as well as by incorporating other meteorological parameters into the MODTRAN prediction models.

Original languageEnglish
Pages (from-to)375-383
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 29 Jun 1994
EventAtmospheric Propagation and Remote Sensing III 1994 - Orlando, United States
Duration: 4 Apr 19948 Apr 1994

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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