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

This paper describes a new open-source software framework for automated pointwise feature tracking that is applicable to a wide array of climate datasets using either structured or unstructured grids. Common climatological pointwise features include tropical cyclones, extratropical cyclones and tropical easterly waves. To enable support for a wide array of detection schemes, a suite of algorithmic kernels have been developed that capture the core functionality of algorithmic tracking routines throughout the literature. A review of efforts related to pointwise feature tracking from the past 3 decades is included. Selected results using both reanalysis datasets and unstructured grid simulations are provided.

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Related Dataset #1 : African Easterly Wave Climatology, Version 1

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Copyright Author(s) 2017. This work is distributed under the Creative Commons Attribution 3.0 License


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Author Ullrich, P. A.
Zarzycki, Colin
Publisher UCAR/NCAR - Library
Publication Date 2017-03-07T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2025-07-11T19:50:47.533457
Metadata Record Identifier edu.ucar.opensky::articles:19692
Metadata Language eng; USA
Suggested Citation Ullrich, P. A., Zarzycki, Colin. (2017). TempestExtremes: a framework for scale-insensitive pointwise feature tracking on unstructured grids. UCAR/NCAR - Library. https://n2t.org/ark:/85065/d7tq63bt. Accessed 05 August 2025.

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