Articles | Volume 14, issue 3
https://doi.org/10.5194/amt-14-1893-2021
https://doi.org/10.5194/amt-14-1893-2021
Research article
 | 
09 Mar 2021
Research article |  | 09 Mar 2021

A new method to detect and classify polar stratospheric nitric acid trihydrate clouds derived from radiative transfer simulations and its first application to airborne infrared limb emission observations

Christoph Kalicinsky, Sabine Griessbach, and Reinhold Spang

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Status: closed
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Christoph Kalicinsky on behalf of the Authors (26 Oct 2020)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (27 Oct 2020) by Miriam Sinnhuber
RR by Wolfgang Woiwode (11 Nov 2020)
RR by Anonymous Referee #2 (18 Nov 2020)
ED: Publish subject to minor revisions (review by editor) (04 Dec 2020) by Miriam Sinnhuber
AR by Christoph Kalicinsky on behalf of the Authors (09 Dec 2020)  Author's response   Manuscript 
ED: Publish as is (18 Dec 2020) by Miriam Sinnhuber
AR by Christoph Kalicinsky on behalf of the Authors (15 Jan 2021)
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Short summary
For an airborne viewing geometry, radiative transfer simulations of infrared limb emission spectra in the presence of polar stratospheric clouds – nitric acid trihydrate (NAT), supercooled ternary solution, ice, and mixtures – were used to develop a size-sensitive NAT detection algorithm. Characteristic size-dependent spectral features in the 810–820 cm−1 region were exploited to subgroup the NAT into three size regimes: small NAT (≤ 1.0 μm), medium NAT (1.5–4.0 μm), and large NAT (≥ 3.5 μm).