A global analysis of diurnal variability in dust and dust mixture using CATS observations

Yu, Yan; Kalashnikova, Olga V.; Garay, Michael J.; Lee, Huikyo; Choi, Myungje; Okin, Gregory S.; Yorks, John E.; Campbell, James R.; Marquis, Jared

doi:https://doi.org/10.5194/acp-21-1427-2021

Articles | Volume 21, issue 3

https://doi.org/10.5194/acp-21-1427-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-21-1427-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 3

Research article

|

03 Feb 2021

Research article |

| 03 Feb 2021

A global analysis of diurnal variability in dust and dust mixture using CATS observations

Yan Yu, Olga V. Kalashnikova, Michael J. Garay, Huikyo Lee, Myungje Choi, Gregory S. Okin, John E. Yorks, James R. Campbell, and Jared Marquis

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Final revised paper (published on 03 Feb 2021)
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Preprint (discussion started on 08 Oct 2020)
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Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Review of “A global analysis of dust diurnal variability using CATS observations” by Y. Yu et al.', Anonymous Referee #2, 29 Oct 2020
RC2: 'Review of "A Global Analysis of Dust Diurnal Variability Using CATS Observations"', Anonymous Referee #1, 05 Nov 2020
AC1: 'Response to reviewers', Yan Yu, 13 Dec 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Yan Yu on behalf of the Authors (14 Dec 2020) Author's response Manuscript

ED: Publish as is (21 Dec 2020) by Matthias Tesche

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Short summary

Given the current uncertainties in the simulated diurnal variability of global dust mobilization and concentration, observational characterization of the variations in dust mobilization and concentration will provide a valuable benchmark for evaluating and constraining such model simulations. The current study investigates the diurnal cycle of dust loading across the global tropics, subtropics, and mid-latitudes by analyzing aerosol observations from the International Space Station.