Articles | Volume 23, issue 9
Research article
20 Sep 2023
Research article |  | 20 Sep 2023

Lessons learnt from a rockfall time series analysis: data collection, statistical analysis, and applications

Sandra Melzner, Marco Conedera, Johannes Hübl, and Mauro Rossi


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2023-10', Daniel Costantini, 23 Mar 2023
    • AC1: 'Reply on RC1', Sandra Melzner, 04 Jun 2023
    • AC2: 'Reply on RC1', Sandra Melzner, 04 Jun 2023
  • RC2: 'Comment on nhess-2023-10', Roberto Sarro, 03 Jun 2023
    • AC3: 'Reply on RC2', Sandra Melzner, 04 Jun 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (12 Jun 2023) by Paolo Tarolli
AR by Sandra Melzner on behalf of the Authors (06 Jul 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (10 Jul 2023) by Paolo Tarolli
RR by Daniel Costantini (25 Jul 2023)
RR by Anonymous Referee #3 (12 Aug 2023)
ED: Publish as is (29 Aug 2023) by Paolo Tarolli
AR by Sandra Melzner on behalf of the Authors (05 Sep 2023)  Manuscript 
Short summary
The estimation of the temporal frequency of the involved rockfall processes is an important part in hazard and risk assessments. Different methods can be used to collect and analyse rockfall data. From a statistical point of view, rockfall datasets are nearly always incomplete. Accurate data collection approaches and the application of statistical methods on existing rockfall data series as reported in this study should be better considered in rockfall hazard and risk assessments in the future.
Final-revised paper