A novel method for analyzing the process of abrupt climate change

Yan, P. C.; Feng, G. L.; Hou, W.

doi:https://doi.org/10.5194/npg-22-249-2015

Articles | Volume 22, issue 3

https://doi.org/10.5194/npg-22-249-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/npg-22-249-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 22, issue 3

Research article

|

04 May 2015

Research article |

| 04 May 2015

A novel method for analyzing the process of abrupt climate change

P. C. Yan, G. L. Feng, and W. Hou

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Final revised paper (published on 04 May 2015)
Preprint (discussion started on 20 Jan 2015)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C17: 'Comments on "A novel method for analyzing the process of abrupt climate change" by Yan et al.', Anonymous Referee #1, 03 Feb 2015
- AC C21: 'Reply to REFEREE #1', Pengcheng Yan, 06 Feb 2015
  - RC C26: 'reply to reply', Anonymous Referee #1, 06 Feb 2015
RC C19: 'Interactive comment on "A novel method for analyzing the process of abrupt climate change"', Anonymous Referee #2, 04 Feb 2015
- AC C27: 'Reply to REFEREE #2', Pengcheng Yan, 11 Feb 2015

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Pengcheng Yan on behalf of the Authors (06 Apr 2015)

ED: Publish as is (07 Apr 2015) by Vicente Perez-Munuzuri

AR by Pengcheng Yan on behalf of the Authors (08 Apr 2015)

Short summary

A novel method is created to detect the process of the abrupt change, which has not been mentioned yet in traditional research. By building an ideal time series with a transition process, the results show that the process could be detected clearly. When applied to a climate index, this method detects five processes, and all of them have reappeared via the “start-end states” phase diagram. Additionally, it is detectable that the persist time of the process is related to global warming.