PLASIM–GENIE v1.0: a new intermediate complexity AOGCM
We describe the development, tuning and climate of Planet Simulator (PLASIM)–Grid-ENabled Integrated Earth system model (GENIE), a new intermediate complexity Atmosphere–Ocean General Circulation Model (AOGCM), built by coupling the Planet Simulator to the ocean, sea-ice and land-surface components...
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ftdoajarticles:oai:doaj.org/article:50e37d25e60941d5bde837c703029ae2 2023-05-15T18:18:36+02:00 PLASIM–GENIE v1.0: a new intermediate complexity AOGCM P. B. Holden N. R. Edwards K. Fraedrich E. Kirk F. Lunkeit X. Zhu 2016-09-01T00:00:00Z https://doi.org/10.5194/gmd-9-3347-2016 https://doaj.org/article/50e37d25e60941d5bde837c703029ae2 EN eng Copernicus Publications http://www.geosci-model-dev.net/9/3347/2016/gmd-9-3347-2016.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 1991-959X 1991-9603 doi:10.5194/gmd-9-3347-2016 https://doaj.org/article/50e37d25e60941d5bde837c703029ae2 Geoscientific Model Development, Vol 9, Iss 9, Pp 3347-3361 (2016) Geology QE1-996.5 article 2016 ftdoajarticles https://doi.org/10.5194/gmd-9-3347-2016 2022-12-30T21:29:02Z We describe the development, tuning and climate of Planet Simulator (PLASIM)–Grid-ENabled Integrated Earth system model (GENIE), a new intermediate complexity Atmosphere–Ocean General Circulation Model (AOGCM), built by coupling the Planet Simulator to the ocean, sea-ice and land-surface components of the GENIE Earth system model. PLASIM–GENIE supersedes GENIE-2, a coupling of GENIE to the Reading Intermediate General Circulation Model (IGCM). The primitive-equation atmosphere includes chaotic, three-dimensional (3-D) motion and interactive radiation and clouds, and dominates the computational load compared to the relatively simpler frictional-geostrophic ocean, which neglects momentum advection. The model is most appropriate for long-timescale or large ensemble studies where numerical efficiency is prioritised, but lack of data necessitates an internally consistent, coupled calculation of both oceanic and atmospheric fields. A 1000-year simulation with PLASIM–GENIE requires approximately 2 weeks on a single node of a 2.1 GHz AMD 6172 CPU. We demonstrate the tractability of PLASIM–GENIE ensembles by deriving a subjective tuning of the model with a 50-member ensemble of 1000-year simulations. The simulated climate is presented considering (i) global fields of seasonal surface air temperature, precipitation, wind, solar and thermal radiation, with comparisons to reanalysis data; (ii) vegetation carbon, soil moisture and aridity index; and (iii) sea surface temperature, salinity and ocean circulation. Considering its resolution, PLASIM–GENIE reproduces the main features of the climate system well and demonstrates usefulness for a wide range of applications. Article in Journal/Newspaper Sea ice Directory of Open Access Journals: DOAJ Articles Geoscientific Model Development 9 9 3347 3361 |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Geology QE1-996.5 |
spellingShingle |
Geology QE1-996.5 P. B. Holden N. R. Edwards K. Fraedrich E. Kirk F. Lunkeit X. Zhu PLASIM–GENIE v1.0: a new intermediate complexity AOGCM |
topic_facet |
Geology QE1-996.5 |
description |
We describe the development, tuning and climate of Planet Simulator (PLASIM)–Grid-ENabled Integrated Earth system model (GENIE), a new intermediate complexity Atmosphere–Ocean General Circulation Model (AOGCM), built by coupling the Planet Simulator to the ocean, sea-ice and land-surface components of the GENIE Earth system model. PLASIM–GENIE supersedes GENIE-2, a coupling of GENIE to the Reading Intermediate General Circulation Model (IGCM). The primitive-equation atmosphere includes chaotic, three-dimensional (3-D) motion and interactive radiation and clouds, and dominates the computational load compared to the relatively simpler frictional-geostrophic ocean, which neglects momentum advection. The model is most appropriate for long-timescale or large ensemble studies where numerical efficiency is prioritised, but lack of data necessitates an internally consistent, coupled calculation of both oceanic and atmospheric fields. A 1000-year simulation with PLASIM–GENIE requires approximately 2 weeks on a single node of a 2.1 GHz AMD 6172 CPU. We demonstrate the tractability of PLASIM–GENIE ensembles by deriving a subjective tuning of the model with a 50-member ensemble of 1000-year simulations. The simulated climate is presented considering (i) global fields of seasonal surface air temperature, precipitation, wind, solar and thermal radiation, with comparisons to reanalysis data; (ii) vegetation carbon, soil moisture and aridity index; and (iii) sea surface temperature, salinity and ocean circulation. Considering its resolution, PLASIM–GENIE reproduces the main features of the climate system well and demonstrates usefulness for a wide range of applications. |
format |
Article in Journal/Newspaper |
author |
P. B. Holden N. R. Edwards K. Fraedrich E. Kirk F. Lunkeit X. Zhu |
author_facet |
P. B. Holden N. R. Edwards K. Fraedrich E. Kirk F. Lunkeit X. Zhu |
author_sort |
P. B. Holden |
title |
PLASIM–GENIE v1.0: a new intermediate complexity AOGCM |
title_short |
PLASIM–GENIE v1.0: a new intermediate complexity AOGCM |
title_full |
PLASIM–GENIE v1.0: a new intermediate complexity AOGCM |
title_fullStr |
PLASIM–GENIE v1.0: a new intermediate complexity AOGCM |
title_full_unstemmed |
PLASIM–GENIE v1.0: a new intermediate complexity AOGCM |
title_sort |
plasim–genie v1.0: a new intermediate complexity aogcm |
publisher |
Copernicus Publications |
publishDate |
2016 |
url |
https://doi.org/10.5194/gmd-9-3347-2016 https://doaj.org/article/50e37d25e60941d5bde837c703029ae2 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
Geoscientific Model Development, Vol 9, Iss 9, Pp 3347-3361 (2016) |
op_relation |
http://www.geosci-model-dev.net/9/3347/2016/gmd-9-3347-2016.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 1991-959X 1991-9603 doi:10.5194/gmd-9-3347-2016 https://doaj.org/article/50e37d25e60941d5bde837c703029ae2 |
op_doi |
https://doi.org/10.5194/gmd-9-3347-2016 |
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Geoscientific Model Development |
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9 |
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3347 |
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