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 Anna Wenzel on behalf of the Authors (20 Jun 2019) Author's response Manuscript

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

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.