PALEO-PGEM v1.0: a statistical emulator of Pliocene–Pleistocene climate

Holden, Philip B.; Edwards, Neil R.; Rangel, Thiago F.; Pereira, Elisa B.; Tran, Giang T.; Wilkinson, Richard D.

doi:https://doi.org/10.5194/gmd-12-5137-2019

Articles | Volume 12, issue 12

https://doi.org/10.5194/gmd-12-5137-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-12-5137-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 12

Model description paper

|

10 Dec 2019

Model description paper |

| 10 Dec 2019

PALEO-PGEM v1.0: a statistical emulator of Pliocene–Pleistocene climate

Philip B. Holden, Neil R. Edwards, Thiago F. Rangel, Elisa B. Pereira, Giang T. Tran, and Richard D. Wilkinson

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Final revised paper (published on 10 Dec 2019)
Supplement to the final revised paper
Preprint (discussion started on 08 Nov 2018)
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: 'Review', Michel Crucifix, 18 Jan 2019
- AC1: 'Response', Phil Holden, 18 Jun 2019
RC2: 'Review of Holden et al.', Anonymous Referee #2, 23 Apr 2019
- AC2: 'Response', Phil Holden, 18 Jun 2019

Peer-review completion

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

AR by Phil Holden on behalf of the Authors (18 Jun 2019)

ED: Referee Nomination & Report Request started (30 Aug 2019) by Didier Roche

RR by Michel Crucifix (11 Sep 2019)

ED: Publish as is (28 Oct 2019) by Didier Roche

AR by Phil Holden on behalf of the Authors (07 Nov 2019) Manuscript

Short summary

We describe the development of the Paleoclimate PLASIM-GENIE emulator and its application to derive a high-resolution spatio-temporal description of the climate of the last 5 x 10⁶ years. Spatial fields of bioclimatic variables are emulated at 1000-year intervals, driven by time series of scalar boundary-condition forcing (CO₂, orbit, and ice volume). Emulated anomalies are interpolated into modern climatology to produce a high-resolution climate reconstruction of the Pliocene–Pleistocene.