Articles | Volume 10, issue 3
https://doi.org/10.5194/gmd-10-1069-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-1069-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
TempestExtremes: a framework for scale-insensitive pointwise feature tracking on unstructured grids
Department of Land, Air and Water Resources, University of California, Davis, One Shields Ave., Davis, CA 95616, USA
Colin M. Zarzycki
National Center for Atmospheric Research, Boulder, CO, USA
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Latest update: 20 Nov 2024
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.
Automated pointwise feature tracking is used for objective identification and tracking of...