Articles | Volume 18, issue 19
https://doi.org/10.5194/acp-18-14327-2018
https://doi.org/10.5194/acp-18-14327-2018
Research article
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09 Oct 2018
Research article | Highlight paper |  | 09 Oct 2018

Ice crystal number concentration estimates from lidar–radar satellite remote sensing – Part 1: Method and evaluation

Odran Sourdeval, Edward Gryspeerdt, Martina Krämer, Tom Goren, Julien Delanoë, Armin Afchine, Friederike Hemmer, and Johannes Quaas

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Odran Sourdeval on behalf of the Authors (17 Jul 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (18 Jul 2018) by Matthias Tesche
RR by Anonymous Referee #1 (10 Aug 2018)
RR by Anonymous Referee #2 (17 Aug 2018)
ED: Publish subject to technical corrections (20 Aug 2018) by Matthias Tesche
Short summary
The number concentration of ice crystals (Ni) is a key cloud property that remains very uncertain due to difficulties in determining it using satellites. This lack of global observational constraints limits our ability to constrain this property in models responsible for predicting future climate. This pair of papers fills this gap by showing and analyzing the first rigorously evaluated global climatology of Ni, leading to new information shedding light on the processes that control high clouds.
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