A method to preserve trends in quantile mapping bias correction of climate modeled temperature

Grillakis, Manolis G.; Koutroulis, Aristeidis G.; Daliakopoulos, Ioannis N.; Tsanis, Ioannis K.

doi:https://doi.org/10.5194/esd-8-889-2017

Articles | Volume 8, issue 3

https://doi.org/10.5194/esd-8-889-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/esd-8-889-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 3

Research article

|

28 Sep 2017

Research article |

| 28 Sep 2017

A method to preserve trends in quantile mapping bias correction of climate modeled temperature

Manolis G. Grillakis, Aristeidis G. Koutroulis, Ioannis N. Daliakopoulos, and Ioannis K. Tsanis

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Final revised paper (published on 28 Sep 2017)
Supplement to the final revised paper
Preprint (discussion started on 07 Jun 2017)
Supplement to the preprint

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Solid description of bias correction method and application', Stefan Hagemann, 11 Jul 2017
- AC1: 'Response to Dr. Stefan Hagemann comments', Manolis Grillakis, 22 Aug 2017
RC2: 'Review of esd-2017-53', Anonymous Referee #2, 13 Jul 2017
- AC2: 'Reply to reviewer #2 comments', Manolis Grillakis, 22 Aug 2017

Peer-review completion

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

ED: Reconsider after major revisions (29 Aug 2017) by Axel Kleidon

AR by Manolis Grillakis on behalf of the Authors (30 Aug 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (31 Aug 2017) by Axel Kleidon

RR by Stefan Hagemann (09 Sep 2017)

RR by Anonymous Referee #2 (15 Sep 2017)

ED: Publish as is (15 Sep 2017) by Axel Kleidon

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Short summary

We present a methodology to adjust the systematic errors of climate-modeled temperature with a simultaneous long-term trend preservation. The method considers the normalization of the temperature towards a reference period modeled temperature and the estimation of a residual signal, in order to apply adjustment only to the former. The skill of the methodology is compared to other methods while also assessed on the European scale.