Preprints
https://doi.org/10.5194/amtd-5-881-2012
https://doi.org/10.5194/amtd-5-881-2012
24 Jan 2012
 | 24 Jan 2012
Status: this preprint was under review for the journal AMT but the revision was not accepted.

Multiple scattering in a dense aerosol atmosphere

S. Mukai, T. Yokomae, I. Sano, M. Nakata, and A. Kokhanovsky

Abstract. This study was designed to develop an efficient algorithm to retrieve aerosol characteristics in aerosol events, which are associated with dense concentrations of aerosols in the atmosphere, such as a dust storm or a biomass burning plume. The idea of successive scattering of light is reviewed based on the theory of radiative transfer. Then derivation of the method of successive order of scattering (MSOS) is interpreted in detail, and it is shown that MSOS is available for a simulation scheme in the dense radiation field being used to retrieve aerosol properties in the event with the high optical thickness. Finally our algorithms are practically applied for the biomass burning aerosol event over the Amazon using Aqua/MODIS data.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
S. Mukai, T. Yokomae, I. Sano, M. Nakata, and A. Kokhanovsky
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
S. Mukai, T. Yokomae, I. Sano, M. Nakata, and A. Kokhanovsky
S. Mukai, T. Yokomae, I. Sano, M. Nakata, and A. Kokhanovsky

Viewed

Total article views: 2,098 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
938 1,044 116 2,098 114 100
  • HTML: 938
  • PDF: 1,044
  • XML: 116
  • Total: 2,098
  • BibTeX: 114
  • EndNote: 100
Views and downloads (calculated since 01 Feb 2013)
Cumulative views and downloads (calculated since 01 Feb 2013)

Cited

Saved

Latest update: 21 Nov 2024