Correcting a bias in a climate model with an augmented emulator

McNeall, Doug; Williams, Jonny; Betts, Richard; Booth, Ben; Challenor, Peter; Good, Peter; Wiltshire, Andy

doi:https://doi.org/10.5194/gmd-13-2487-2020

Articles | Volume 13, issue 5

https://doi.org/10.5194/gmd-13-2487-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-13-2487-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 5

Methods for assessment of models

|

29 May 2020

Methods for assessment of models |

| 29 May 2020

Correcting a bias in a climate model with an augmented emulator

Doug McNeall, Jonny Williams, Richard Betts, Ben Booth, Peter Challenor, Peter Good, and Andy Wiltshire

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Final revised paper (published on 29 May 2020)
Supplement to the final revised paper
Preprint (discussion started on 29 Jul 2019)
Supplement to the preprint

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC1: 'Review of paper: gmd-2019-171', Anonymous Referee #1, 12 Sep 2019
RC2: 'Review of McNeall et al, 2019', Anonymous Referee #2, 28 Oct 2019
AC1: 'Author's response to reviewers', Douglas McNeall, 07 Feb 2020

Peer-review completion

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

AR by Douglas McNeall on behalf of the Authors (24 Feb 2020) Author's response Manuscript

ED: Publish as is (15 Apr 2020) by David Topping

AR by Douglas McNeall on behalf of the Authors (16 Apr 2020) Manuscript

Short summary

In the climate model FAMOUS, matching the modelled Amazon rainforest to observations required different land surface parameter settings than for other forests. It was unclear if this discrepancy was due to a bias in the modelled climate or an error in the land surface component of the model. Correcting the climate of the model with a statistical model corrects the simulation of the Amazon forest, suggesting that the land surface component of the model is not the source of the discrepancy.