Articles | Volume 12, issue 11
Geosci. Model Dev., 12, 4551–4570, 2019
https://doi.org/10.5194/gmd-12-4551-2019

Special issue: BACCHUS – Impact of Biogenic versus Anthropogenic emissions...

Geosci. Model Dev., 12, 4551–4570, 2019
https://doi.org/10.5194/gmd-12-4551-2019
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 et al.

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Cited articles

Allan, D., Caswell, T., Keim, N., and van der Wel, C.: Trackpy, Zenodo, https://doi.org/10.5281/zenodo.1213240, 2019. a, b
Autonès, F. and Moisselin, J. M.: Algorithm Theoretical Basis Document for “Rapid Development Thunderstorms” (RDT-PGE11 v3.0), Tech. rep., SAF/NWC/CDOP/MFT/SCI/ATBD/11, available at: http://www.nwcsaf.org/AemetWebContents/ScientificDocumentation/Documentation/MSG/SAF-NWC-CDOP2-MFT-SCI-ATBD-11_v3.0.pdf (last access: 19 October 2019), 2013. a
Bacmeister, J. T. and Stephens, G. L.: Spatial Statistics of Likely Convective Clouds in CloudSat Data, J. Geophys. Res.-Atmos., 116, D04104, https://doi.org/10.1029/2010JD014444, 2011. a
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CEDA: JASMIN, the UK Collaborative Data Analysis Facility, available at: http://jasmin.ac.uk/ (last access: 19 October 2019), 2019. a, b
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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.