Articles | Volume 27, issue 4
Nonlin. Processes Geophys., 27, 489–500, 2020
https://doi.org/10.5194/npg-27-489-2020
Nonlin. Processes Geophys., 27, 489–500, 2020
https://doi.org/10.5194/npg-27-489-2020

Research article 28 Oct 2020

Research article | 28 Oct 2020

A method for predicting the uncompleted climate transition process

Pengcheng Yan et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Pengcheng Yan on behalf of the Authors (08 Apr 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (19 Apr 2020) by Ana M. Mancho
RR by Anonymous Referee #2 (29 Apr 2020)
RR by Anonymous Referee #1 (29 Apr 2020)
ED: Reconsider after major revisions (further review by editor and referees) (29 Apr 2020) by Ana M. Mancho
AR by Lorena Grabowski on behalf of the Authors (19 Jun 2020)  Author's response
ED: Referee Nomination & Report Request started (19 Jun 2020) by Ana M. Mancho
RR by Anonymous Referee #2 (29 Jun 2020)
RR by Anonymous Referee #3 (03 Jul 2020)
ED: Reconsider after major revisions (further review by editor and referees) (07 Jul 2020) by Ana M. Mancho
AR by Pengcheng Yan on behalf of the Authors (14 Aug 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (19 Aug 2020) by Ana M. Mancho
RR by Anonymous Referee #3 (27 Aug 2020)
ED: Publish subject to technical corrections (31 Aug 2020) by Ana M. Mancho
AR by Pengcheng Yan on behalf of the Authors (04 Sep 2020)  Author's response    Manuscript
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Short summary
A system transiting from one stable state to another has to experience a period. Can we predict the end moment (state) if the process has not been completed? This paper presents a method to solve this problem. This method is based on the quantitative relationship among the parameters, which is used to describe the transition process of the abrupt change. By using the historical data, we extract some parameters for predicting the uncompleted climate transition process.