Articles | Volume 25, issue 7
Hydrol. Earth Syst. Sci., 25, 3783–3804, 2021
https://doi.org/10.5194/hess-25-3783-2021
Hydrol. Earth Syst. Sci., 25, 3783–3804, 2021
https://doi.org/10.5194/hess-25-3783-2021

Research article 02 Jul 2021

Research article | 02 Jul 2021

Decision tree-based detection of blowing snow events in the European Alps

Zhipeng Xie et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2021-119', Anonymous Referee #1, 06 Apr 2021
    • AC1: 'Reply on RC1', Zhipeng Xie, 08 May 2021
  • RC2: 'Review of the paper “Decision tree-based detection of blowing snow events in the European Alps” by Z. Xie et al. submitted to HESS.', Anonymous Referee #2, 17 Apr 2021
    • AC2: 'Reply on RC2', Zhipeng Xie, 09 May 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (11 May 2021) by Xing Yuan
AR by Zhipeng Xie on behalf of the Authors (11 May 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (11 May 2021) by Xing Yuan
RR by Anonymous Referee #1 (13 May 2021)
RR by Anonymous Referee #2 (03 Jun 2021)
ED: Publish subject to technical corrections (05 Jun 2021) by Xing Yuan
AR by Zhipeng Xie on behalf of the Authors (07 Jun 2021)  Author's response    Manuscript
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Short summary
Ground information on the occurrence of blowing snow has been sorely lacking because direct observations of blowing snow are sparse in time and space. In this paper, we investigated the potential capability of the decision tree model to detect blowing snow events in the European Alps. Trained with routine meteorological observations, the decision tree model can be used as an efficient tool to detect blowing snow occurrences across different regions requiring limited meteorological variables.