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

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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Gary Thomas on behalf of the Authors (02 Feb 2019)  Author's response    Manuscript
ED: Publish subject to technical corrections (25 Feb 2019) by Markus Rapp
AR by Gary Thomas on behalf of the Authors (05 Mar 2019)  Author's response    Manuscript
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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.