Articles | Volume 14, issue 8
https://doi.org/10.5194/gmd-14-5023-2021
https://doi.org/10.5194/gmd-14-5023-2021
Methods for assessment of models
 | 
13 Aug 2021
Methods for assessment of models |  | 13 Aug 2021

TempestExtremes v2.1: a community framework for feature detection, tracking, and analysis in large datasets

Paul A. Ullrich, Colin M. Zarzycki, Elizabeth E. McClenny, Marielle C. Pinheiro, Alyssa M. Stansfield, and Kevin A. Reed

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Latest update: 15 Jun 2024
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Short summary
TempestExtremes (TE) is a multifaceted framework for feature detection, tracking, and scientific analysis of regional or global Earth system datasets. Version 2.1 of TE now provides extensive support for nodal and areal features. This paper describes the algorithms that have been added to the TE framework since version 1.0 and gives several examples of how these can be combined to produce composite algorithms for evaluating and understanding atmospheric features.