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

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

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

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, Matthew D. Lebsock, James McDuffie, and Graeme L. Stephens

Download

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.