Extreme temperature events on Greenland in observations and the MAR regional climate model

Leeson, Amber A.; Eastoe, Emma; Fettweis, Xavier

doi:https://doi.org/10.5194/tc-12-1091-2018

Articles | Volume 12, issue 3

https://doi.org/10.5194/tc-12-1091-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-12-1091-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 3

Research article

|

26 Mar 2018

Research article |

| 26 Mar 2018

Extreme temperature events on Greenland in observations and the MAR regional climate model

Amber A. Leeson, Emma Eastoe, and Xavier Fettweis

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Final revised paper (published on 26 Mar 2018)
Preprint (discussion started on 25 Jul 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review 1', Anonymous Referee #1, 16 Aug 2017
- AC2: 'Response to Reviewer #1', A.A. Leeson, 19 Oct 2017
RC2: 'Review', Anonymous Referee #2, 08 Sep 2017
- AC1: 'Response to Reviewer #2', A.A. Leeson, 19 Oct 2017

Peer-review completion

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

AR by Amber Leeson on behalf of the Authors (19 Oct 2017) Author's response Manuscript

ED: Publish subject to minor revisions (review by editor) (24 Dec 2017) by Marco Tedesco

ED: Publish subject to minor revisions (review by editor) (19 Jan 2018) by Marco Tedesco

AR by Amber Leeson on behalf of the Authors (26 Jan 2018) Author's response Manuscript

ED: Publish as is (29 Jan 2018) by Marco Tedesco

Short summary

Future melting of the Greenland Ice Sheet is predicted using regional climate models (RCMs). Here, we assess the ability of the MAR RCM to reproduce observed extreme temperature events and the melt energy produced during these times at 14 locations. We find that MAR underestimates temperatures by >0.5 °C during extreme events, which leads to an underestimate in melt energy by up to 41 %. This is potentially an artefact of the data used to drive the MAR simulation and needs to be corrected for.