Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 9, issue 4
Articles | Volume 9, issue 4
https://doi.org/10.5194/gmd-9-1383-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-1383-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 9, issue 4
Methods for assessment of models
 | 
13 Apr 2016
Methods for assessment of models |  | 13 Apr 2016

Stride Search: a general algorithm for storm detection in high-resolution climate data

Peter A. Bosler, Erika L. Roesler, Mark A. Taylor, and Miranda R. Mundt

Viewed

Total article views: 4,226 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,431 1,619 176 4,226 226 273
  • HTML: 2,431
  • PDF: 1,619
  • XML: 176
  • Total: 4,226
  • BibTeX: 226
  • EndNote: 273
Views and downloads (calculated since 08 Sep 2015)
Cumulative views and downloads (calculated since 08 Sep 2015)

Cited

Saved (preprint)

Latest update: 04 Nov 2025
Download
Short summary
This article discusses the problem of identifying extreme climate events such as intense storms within large climate data sets. The basic storm detection algorithm is reviewed, which splits the problem into two parts: a spatial search followed by a temporal correlation problem. A new algorithm, "Stride Search," is introduced which is capable of searching for storms at all latitudes including the poles and has better performance than the commonly used grid point search.
Read more
Share