tobac 1.2: towards a flexible framework for tracking  and analysis of clouds in diverse datasets

Heikenfeld, Max; Marinescu, Peter J.; Christensen, Matthew; Watson-Parris, Duncan; Senf, Fabian; van den Heever, Susan C.; Stier, Philip

doi:https://doi.org/10.5194/gmd-12-4551-2019

Articles | Volume 12, issue 11

https://doi.org/10.5194/gmd-12-4551-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

BACCHUS – Impact of Biogenic versus Anthropogenic emissions...

https://doi.org/10.5194/gmd-12-4551-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 11

Methods for assessment of models

|

30 Oct 2019

Methods for assessment of models |

| 30 Oct 2019

tobac 1.2: towards a flexible framework for tracking and analysis of clouds in diverse datasets

Max Heikenfeld, Peter J. Marinescu, Matthew Christensen, Duncan Watson-Parris, Fabian Senf, Susan C. van den Heever, and Philip Stier

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Final revised paper (published on 30 Oct 2019)
Preprint (discussion started on 24 May 2019)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review of tobacv1.0: towards a flexible framework…', Anonymous Referee #1, 25 Jun 2019
- AC1: 'Answer to Anonymous Referee #1', Max Heikenfeld, 14 Sep 2019
RC2: 'anonymous review', Anonymous Referee #2, 04 Jul 2019
- AC2: 'Answer to Anonymous Referee #2', Max Heikenfeld, 14 Sep 2019

Peer-review completion

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

AR by Max Heikenfeld on behalf of the Authors (14 Sep 2019) Author's response Manuscript

ED: Publish as is (19 Sep 2019) by Paul Ullrich

AR by Max Heikenfeld on behalf of the Authors (25 Sep 2019) Manuscript

Short summary

We present tobac (Tracking and Object-Based Analysis of Clouds), a newly developed framework for tracking and analysing clouds in different types of datasets. It provides a flexible new way to include the evolution of individual clouds in a wide range of analyses. It is developed as a community project to provide a common basis for the inclusion of existing tracking algorithms and the development of new analyses that involve tracking clouds and other features in geoscientific research.