Articles | Volume 9, issue 4
https://doi.org/10.5194/gmd-9-1383-2016
https://doi.org/10.5194/gmd-9-1383-2016
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

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Peter Bosler on behalf of the Authors (01 Mar 2016)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (02 Mar 2016) by Astrid Kerkweg
RR by Anonymous Referee #1 (14 Mar 2016)
RR by Akira Kuwano-Yoshida (18 Mar 2016)
ED: Publish as is (24 Mar 2016) by Astrid Kerkweg
AR by Peter Bosler on behalf of the Authors (29 Mar 2016)
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.