A new Orbiting Carbon Observatory 2 cloud flagging method and rapid retrieval of marine boundary layer cloud properties

Richardson, Mark; Lebsock, Matthew D.; McDuffie, James; Stephens, Graeme L.

doi:https://doi.org/10.5194/amt-13-4947-2020

Articles | Volume 13, issue 9

Atmos. Meas. Tech., 13, 4947–4961, 2020

https://doi.org/10.5194/amt-13-4947-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Atmos. Meas. Tech., 13, 4947–4961, 2020

https://doi.org/10.5194/amt-13-4947-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 9

Research article 18 Sep 2020

Research article | 18 Sep 2020

A new Orbiting Carbon Observatory 2 cloud flagging method and rapid retrieval of marine boundary layer cloud properties

Mark Richardson et al.

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Final revised paper (published on 18 Sep 2020)
Supplement to the final revised paper
Preprint (discussion started on 18 May 2020)
Supplement to the preprint

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Good paper', Anonymous Referee #1, 12 Jun 2020
- AC1: 'Review 1 response', Mark Richardson, 12 Jul 2020
RC2: 'review comments', Anonymous Referee #2, 14 Jun 2020
- AC2: 'Review 2 response', Mark Richardson, 12 Jul 2020

Peer-review completion

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

AR by Mark Richardson on behalf of the Authors (16 Jul 2020) Author's response Manuscript

ED: Publish as is (28 Jul 2020) by Alexander Kokhanovsky

Short summary

We previously combined CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) lidar data and reflected-sunlight measurements from OCO-2 (Orbiting Carbon Observatory 2) for information about low clouds over oceans. The satellites are no longer formation-flying, so this work is a step towards getting new information about these clouds using only OCO-2. We can rapidly and accurately identify liquid oceanic clouds and obtain their height better than a widely used passive sensor.