Articles | Volume 12, issue 3
https://doi.org/10.5194/amt-12-1755-2019
https://doi.org/10.5194/amt-12-1755-2019
Research article
 | 
18 Mar 2019
Research article |  | 18 Mar 2019

Albedo-Ice Regression method for determining ice water content of polar mesospheric clouds using ultraviolet observations from space

Gary E. Thomas, Jerry Lumpe, Charles Bardeen, and Cora E. Randall

Viewed

Total article views: 1,837 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,207 562 68 1,837 71 66
  • HTML: 1,207
  • PDF: 562
  • XML: 68
  • Total: 1,837
  • BibTeX: 71
  • EndNote: 66
Views and downloads (calculated since 09 Nov 2018)
Cumulative views and downloads (calculated since 09 Nov 2018)

Viewed (geographical distribution)

Total article views: 1,837 (including HTML, PDF, and XML) Thereof 1,685 with geography defined and 152 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Apr 2024
Download
Short summary
Polar mesospheric clouds are an upper atmospheric phenomenon of great interest in that they provide information about a previously inaccessible atmospheric region, the coldest of the planet. This paper provides the basis for converting raw radiance measurements of clouds, made by diverse satellite instrumentation, into a physically based quantity, the cloud ice water content. The new algorithm allows intercomparisons of data collected using diverse optical methods.