Articles | Volume 15, issue 15
Geosci. Model Dev., 15, 6115–6142, 2022
https://doi.org/10.5194/gmd-15-6115-2022
Geosci. Model Dev., 15, 6115–6142, 2022
https://doi.org/10.5194/gmd-15-6115-2022
Model description paper
04 Aug 2022
Model description paper | 04 Aug 2022

Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information

Núria Pérez-Zanón 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 gmd-2021-368', Anonymous Referee #1, 04 Jan 2022
    • AC1: 'Reply on RC1', Núria Pérez-Zanón, 01 Apr 2022
  • RC2: 'Comment on gmd-2021-368', Anonymous Referee #2, 10 Jan 2022
    • AC2: 'Reply on RC2', Núria Pérez-Zanón, 01 Apr 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Núria Pérez-Zanón on behalf of the Authors (08 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (16 Apr 2022) by Jinkyu Hong
RR by Anonymous Referee #2 (30 Apr 2022)
RR by Matteo De Felice (12 May 2022)
ED: Publish subject to minor revisions (review by editor) (15 May 2022) by Jinkyu Hong
AR by Núria Pérez-Zanón on behalf of the Authors (24 May 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (29 May 2022) by Jinkyu Hong
AR by Núria Pérez-Zanón on behalf of the Authors (01 Jun 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (19 Jun 2022) by Jinkyu Hong
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Short summary
CSTools (short for Climate Service Tools) is an R package that contains process-based methods for climate forecast calibration, bias correction, statistical and stochastic downscaling, optimal forecast combination, and multivariate verification, as well as basic and advanced tools to obtain tailored products. In addition to describing the structure and methods in the package, we also present three use cases to illustrate the seasonal climate forecast post-processing for specific purposes.