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

We describe the development of the “Paleoclimate PLASIM-GENIE (Planet Simulator–Grid-Enabled Integrated Earth system model) emulator” PALEO-PGEM and its application to derive a downscaled high-resolution spatio-temporal description of the climate of the last 5×10 6 years. The 5×10 6 -year time frame...

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Published in:Geoscientific Model Development
Main Authors: P. B. Holden, N. R. Edwards, T. F. Rangel, E. B. Pereira, G. T. Tran, R. D. Wilkinson
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2019
Subjects:
Online Access:https://doi.org/10.5194/gmd-12-5137-2019
https://doaj.org/article/bd9ae812f1194b2d9243bd3d5e98a759
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spelling ftdoajarticles:oai:doaj.org/article:bd9ae812f1194b2d9243bd3d5e98a759 2023-05-15T16:41:02+02:00 PALEO-PGEM v1.0: a statistical emulator of Pliocene–Pleistocene climate P. B. Holden N. R. Edwards T. F. Rangel E. B. Pereira G. T. Tran R. D. Wilkinson 2019-12-01T00:00:00Z https://doi.org/10.5194/gmd-12-5137-2019 https://doaj.org/article/bd9ae812f1194b2d9243bd3d5e98a759 EN eng Copernicus Publications https://www.geosci-model-dev.net/12/5137/2019/gmd-12-5137-2019.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 doi:10.5194/gmd-12-5137-2019 1991-959X 1991-9603 https://doaj.org/article/bd9ae812f1194b2d9243bd3d5e98a759 Geoscientific Model Development, Vol 12, Pp 5137-5155 (2019) Geology QE1-996.5 article 2019 ftdoajarticles https://doi.org/10.5194/gmd-12-5137-2019 2022-12-31T01:02:25Z We describe the development of the “Paleoclimate PLASIM-GENIE (Planet Simulator–Grid-Enabled Integrated Earth system model) emulator” PALEO-PGEM and its application to derive a downscaled high-resolution spatio-temporal description of the climate of the last 5×10 6 years. The 5×10 6 -year time frame is interesting for a range of paleo-environmental questions, not least because it encompasses the evolution of humans. However, the choice of time frame was primarily pragmatic; tectonic changes can be neglected to first order, so that it is reasonable to consider climate forcing restricted to the Earth's orbital configuration, ice-sheet state, and the concentration of atmosphere CO 2 . The approach uses the Gaussian process emulation of the singular value decomposition of ensembles of the intermediate-complexity atmosphere–ocean GCM (general circulation model) PLASIM-GENIE. Spatial fields of bioclimatic variables of surface air temperature (warmest and coolest seasons) and precipitation (wettest and driest seasons) are emulated at 1000-year intervals, driven by time series of scalar boundary-condition forcing ( CO 2 , orbit, and ice volume) and assuming the climate is in quasi-equilibrium. Paleoclimate anomalies at climate model resolution are interpolated onto the observed modern climatology to produce a high-resolution spatio-temporal paleoclimate reconstruction of the Pliocene–Pleistocene. Article in Journal/Newspaper Ice Sheet Directory of Open Access Journals: DOAJ Articles Geoscientific Model Development 12 12 5137 5155
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Geology
QE1-996.5
spellingShingle Geology
QE1-996.5
P. B. Holden
N. R. Edwards
T. F. Rangel
E. B. Pereira
G. T. Tran
R. D. Wilkinson
PALEO-PGEM v1.0: a statistical emulator of Pliocene–Pleistocene climate
topic_facet Geology
QE1-996.5
description We describe the development of the “Paleoclimate PLASIM-GENIE (Planet Simulator–Grid-Enabled Integrated Earth system model) emulator” PALEO-PGEM and its application to derive a downscaled high-resolution spatio-temporal description of the climate of the last 5×10 6 years. The 5×10 6 -year time frame is interesting for a range of paleo-environmental questions, not least because it encompasses the evolution of humans. However, the choice of time frame was primarily pragmatic; tectonic changes can be neglected to first order, so that it is reasonable to consider climate forcing restricted to the Earth's orbital configuration, ice-sheet state, and the concentration of atmosphere CO 2 . The approach uses the Gaussian process emulation of the singular value decomposition of ensembles of the intermediate-complexity atmosphere–ocean GCM (general circulation model) PLASIM-GENIE. Spatial fields of bioclimatic variables of surface air temperature (warmest and coolest seasons) and precipitation (wettest and driest seasons) are emulated at 1000-year intervals, driven by time series of scalar boundary-condition forcing ( CO 2 , orbit, and ice volume) and assuming the climate is in quasi-equilibrium. Paleoclimate anomalies at climate model resolution are interpolated onto the observed modern climatology to produce a high-resolution spatio-temporal paleoclimate reconstruction of the Pliocene–Pleistocene.
format Article in Journal/Newspaper
author P. B. Holden
N. R. Edwards
T. F. Rangel
E. B. Pereira
G. T. Tran
R. D. Wilkinson
author_facet P. B. Holden
N. R. Edwards
T. F. Rangel
E. B. Pereira
G. T. Tran
R. D. Wilkinson
author_sort P. B. Holden
title PALEO-PGEM v1.0: a statistical emulator of Pliocene–Pleistocene climate
title_short PALEO-PGEM v1.0: a statistical emulator of Pliocene–Pleistocene climate
title_full PALEO-PGEM v1.0: a statistical emulator of Pliocene–Pleistocene climate
title_fullStr PALEO-PGEM v1.0: a statistical emulator of Pliocene–Pleistocene climate
title_full_unstemmed PALEO-PGEM v1.0: a statistical emulator of Pliocene–Pleistocene climate
title_sort paleo-pgem v1.0: a statistical emulator of pliocene–pleistocene climate
publisher Copernicus Publications
publishDate 2019
url https://doi.org/10.5194/gmd-12-5137-2019
https://doaj.org/article/bd9ae812f1194b2d9243bd3d5e98a759
genre Ice Sheet
genre_facet Ice Sheet
op_source Geoscientific Model Development, Vol 12, Pp 5137-5155 (2019)
op_relation https://www.geosci-model-dev.net/12/5137/2019/gmd-12-5137-2019.pdf
https://doaj.org/toc/1991-959X
https://doaj.org/toc/1991-9603
doi:10.5194/gmd-12-5137-2019
1991-959X
1991-9603
https://doaj.org/article/bd9ae812f1194b2d9243bd3d5e98a759
op_doi https://doi.org/10.5194/gmd-12-5137-2019
container_title Geoscientific Model Development
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