Simulation of the Ozone Monitoring Instrument aerosol index using the NASA Goddard Earth Observing System aerosol reanalysis products

Colarco, Peter R.; Gassó, Santiago; Ahn, Changwoo; Buchard, Virginie; da Silva, Arlindo M.; Torres, Omar

doi:https://doi.org/10.5194/amt-10-4121-2017

Articles | Volume 10, issue 11

https://doi.org/10.5194/amt-10-4121-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-10-4121-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 11

Research article

|

03 Nov 2017

Research article |

| 03 Nov 2017

Simulation of the Ozone Monitoring Instrument aerosol index using the NASA Goddard Earth Observing System aerosol reanalysis products

Peter R. Colarco, Santiago Gassó, Changwoo Ahn, Virginie Buchard, Arlindo M. da Silva, and Omar Torres

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Final revised paper (published on 03 Nov 2017)
Supplement to the final revised paper
Preprint (discussion started on 19 May 2017)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of “Simulation of the Ozone Monitoring Instrument Aerosol Index using the NASA Goddard Earth Observing System Aerosol Reanalysis Products”', Anonymous Referee #1, 07 Jun 2017
RC2: 'Review of "Simulation of OMI AI using the NASA Goddard Earth Observing System Aerosol Reanalysis Products" by Colarco and co-authors', Marloes Penning de Vries, 21 Jul 2017
AC1: 'Author response to reviewer comments', Peter Colarco, 01 Sep 2017

Peer-review completion

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

AR by Peter Colarco on behalf of the Authors (14 Sep 2017)

ED: Publish as is (20 Sep 2017) by Marloes Penning de Vries

AR by Peter Colarco on behalf of the Authors (20 Sep 2017) Manuscript

Short summary

We need satellite observations to characterize the properties of atmospheric aerosols. Those observations have uncertainties associated with them because of assumptions made in their algorithms. We test the assumptions on a part of the aerosol algorithms used with the Ozone Monitoring Instrument (OMI) flying on the NASA Aura spacecraft. We simulate the OMI observations using a global aerosol model, and then compare what OMI tells us about the simulated aerosols with the model results directly.