Articles | Volume 10, issue 3
https://doi.org/10.5194/gmd-10-1069-2017
https://doi.org/10.5194/gmd-10-1069-2017
Methods for assessment of models
 | 
07 Mar 2017
Methods for assessment of models |  | 07 Mar 2017

TempestExtremes: a framework for scale-insensitive pointwise feature tracking on unstructured grids

Paul A. Ullrich and Colin M. Zarzycki

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AR by Paul Ullrich on behalf of the Authors (04 Jan 2017)  Author's response   Manuscript 
ED: Publish as is (08 Jan 2017) by Steve Easterbrook
AR by Paul Ullrich on behalf of the Authors (10 Jan 2017)
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Short summary
Automated pointwise feature tracking is used for objective identification and tracking of meteorological features, such as extratropical cyclones, tropical cyclones and tropical easterly waves, and has emerged as an important and desirable data-processing capability in climate science. In the interest of exploring tracking functionality, this paper introduces a framework for the development of robust tracking algorithms that is useful for intercomparison and optimization of tracking schemes.