Articles | Volume 14, issue 8
Geosci. Model Dev., 14, 5023–5048, 2021
https://doi.org/10.5194/gmd-14-5023-2021
Geosci. Model Dev., 14, 5023–5048, 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 et al.

Viewed

Total article views: 2,298 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,244 1,005 49 2,298 37 16
  • HTML: 1,244
  • PDF: 1,005
  • XML: 49
  • Total: 2,298
  • BibTeX: 37
  • EndNote: 16
Views and downloads (calculated since 20 Jan 2021)
Cumulative views and downloads (calculated since 20 Jan 2021)

Viewed (geographical distribution)

Total article views: 2,085 (including HTML, PDF, and XML) Thereof 2,079 with geography defined and 6 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 27 Jun 2022
Download
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.