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

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

doi:10.5194/gmd-9-1383-2016

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

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Latest update: 07 Jan 2026

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.