ACCESS datasets for CMIP6: Methodology and idealised experiments

dc.contributor.authorMackallah, C.
dc.contributor.authorChamberlain, M A
dc.contributor.authorLaw, R.M.
dc.contributor.authorDix, Martin R
dc.contributor.authorZiehn, T.
dc.contributor.authorBi, Daohua
dc.contributor.authorBodman, Roger
dc.contributor.authorBrown, J. R.
dc.contributor.authorDobrohotoff, Peter
dc.contributor.authorDruken, Kelsey
dc.contributor.authorEvans, Ben
dc.contributor.authorHarman, I.
dc.contributor.authorHayashida, Hakase
dc.contributor.authorHolmes, Ryan
dc.contributor.authorKiss, Andrew
dc.contributor.authorLenton, Andrew
dc.contributor.authorLiu, Yanbin
dc.contributor.authorMarsland, S J
dc.contributor.authorMeissner, K.J.
dc.contributor.authorMenviel, L
dc.contributor.authorO'Farrell, S P
dc.contributor.authorRashid, Harun A
dc.contributor.authorRidzwan, Syazwan
dc.contributor.authorSavita, A.
dc.contributor.authorSullivan, A.
dc.contributor.authorTrenham, C.
dc.contributor.authorVohralik, P. F.
dc.contributor.authorWang, Y. P.
dc.contributor.authorWilliams, G.
dc.contributor.authorWoodhouse, M. T.
dc.contributor.authorYeung, N.
dc.date.accessioned2024-08-22T23:49:14Z
dc.date.available2024-08-22T23:49:14Z
dc.date.issued2022
dc.date.updated2024-05-12T08:15:32Z
dc.description.abstractThe Australian Community Climate and Earth System Simulator (ACCESS) has contributed to the World Climate Research Programme's Coupled Model Intercomparison Project Phase 6 (CMIP6) using two fully coupled model versions (ACCESS-CM2 and ACCESS-ESM1.5) and two ocean-sea-ice model versions (1° and 0.25° resolution versions of ACCESS-OM2). The fully coupled models differ primarily in the configuration and version of their atmosphere components (including the aerosol scheme), with smaller differences in their sea-ice and land model versions. Additionally, ACCESS-ESM1.5 includes biogeochemistry in the land and ocean components and can be run with an interactive carbon cycle. CMIP6 comprises core experiments and associated thematic Model Intercomparison Projects (MIPs). This paper provides an overview of the CMIP6 submission, including the methods used for the preparation of input forcing datasets and the post-processing of model output, along with a comprehensive list of experiments performed, detailing their initialisation, duration, ensemble number and computational cost. A small selection of model output is presented, focusing on idealised experiments and their variants at global scale. Differences in the climate simulation of the two coupled models are highlighted. ACCESS-CM2 produces a larger equilibrium climate sensitivity (4.7°C) than ACCESS-ESM1.5 (3.9°C), likely a result of updated atmospheric parameterisation in recent versions of the atmospheric component of ACCESS-CM2. The idealised experiments run with ACCESS-ESM1.5 show that land and ocean carbon fluxes respond to both changing atmospheric CO2 and to changing temperature. ACCESS data submitted to CMIP6 are available from the Earth System Grid Federation (https://doi.org/10.22033/ESGF/CMIP6.2281 and https://doi.org/10.22033/ESGF/CMIP6.2288). The information provided in this paper should facilitate easier use of these significant datasets by the broader climate community.
dc.description.sponsorshipACCESS simulations undertaken with the assistance an Australasian Leadership Computing Grant by sponsor, the National Computational Infrastructure (NCI Australia) (grant #12840 under ALCG2020, NCI project gy57). NCI Australia had a governance role in the publication of ACCESS data to CMIP6, and NCI staff contributed to the preparation of this manuscript. COSIMA and A. E. Kiss were funded by Australian Research Council grants LP160100073 and LP200100406. A. E. Kiss was also funded by the Australian Government's Australian Antarctic Science Program grant 4541. This research was undertaken with the assistance of resources from the NCI, which is supported by the Australian Government
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn2206-5865
dc.identifier.urihttps://hdl.handle.net/1885/733715912
dc.language.isoen_AUen_AU
dc.provenanceThis is an open access article distributed under the Creative Commons AttributionNonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)
dc.publisherCSIRO Publishing
dc.relationhttp://purl.org/au-research/grants/arc/LP160100073
dc.relationhttp://purl.org/au-research/grants/arc/LP200100406
dc.rights© 2022 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of BoM.
dc.rights.licenseCreative Commons AttributionNonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceJournal of Southern Hemisphere Earth Systems Science
dc.source.urihttps://www.publish.csiro.au/
dc.subjectACCESS
dc.subjectclimate change
dc.subjectclimate data
dc.subjectclimate model evaluation
dc.subjectclimate simulation
dc.subjectCMIP6
dc.subjectcoupled climate model
dc.subjectEarth System Model
dc.titleACCESS datasets for CMIP6: Methodology and idealised experiments
dc.typeJournal article
dcterms.accessRightsOpen Access
local.bibliographicCitation.issue2
local.bibliographicCitation.lastpage116
local.bibliographicCitation.startpage93
local.contributor.affiliationMackallah, C., CSIRO Oceans and Atmosphere
local.contributor.affiliationChamberlain, M A, CSIRO Oceans and Atmosphere
local.contributor.affiliationLaw, R.M., CSIRO Marine & Atmospheric Research
local.contributor.affiliationDix, Martin R, CSIRO
local.contributor.affiliationZiehn, T., CSIRO Oceans and Atmosphere.
local.contributor.affiliationBi, Daohua, CSIRO
local.contributor.affiliationBodman, Roger, University of Melbourne
local.contributor.affiliationBrown, J. R., The University of Melbourne
local.contributor.affiliationDobrohotoff, Peter, CSIRO Oceans and Atmosphere
local.contributor.affiliationDruken, Kelsey, RSCH Research & Innovation Portfolio, ANU
local.contributor.affiliationEvans, Ben, RSCH Research & Innovation Portfolio, ANU
local.contributor.affiliationHarman, I., CSIRO
local.contributor.affiliationHayashida, Hakase, University of Tasmania
local.contributor.affiliationHolmes, Ryan, University of Sydney
local.contributor.affiliationKiss, Andrew, College of Science, ANU
local.contributor.affiliationLenton, Andrew, CSIRO Marine and Atmospheric Research
local.contributor.affiliationLiu, Yanbin, College of Engineering, Computing and Cybernetics, ANU
local.contributor.affiliationMarsland, S J, CSIRO
local.contributor.affiliationMeissner, K.J., University of New South Wales
local.contributor.affiliationMenviel, L, University of New South Wales
local.contributor.affiliationO'Farrell, S P, CSIRO Division of Atmospheric Research
local.contributor.affiliationRashid, Harun A, CSIRO Oceans and Atmosphere
local.contributor.affiliationRidzwan, Syazwan, RSCH Research & Innovation Portfolio, ANU
local.contributor.affiliationSavita, A., CSIRO Oceans and Atmosphere
local.contributor.affiliationSullivan, A., CSIRO Oceans and Atmosphere
local.contributor.affiliationTrenham, C., CSIRO Oceans and Atmosphere
local.contributor.affiliationVohralik, P. F., CSIRO Oceans and Atmosphere
local.contributor.affiliationWang, Y. P., CSIRO Oceans and Atmosphere
local.contributor.affiliationWilliams, G., CSIRO Oceans and Atmosphere
local.contributor.affiliationWoodhouse, M. T., CSIRO Oceans and Atmosphere
local.contributor.affiliationYeung, N., ARC Centre of Excellence for Climate Extremes (CLEX)
local.contributor.authoruidDruken, Kelsey, u1821622
local.contributor.authoruidEvans, Ben, u9015746
local.contributor.authoruidKiss, Andrew, u8808596
local.contributor.authoruidLiu, Yanbin, u1047238
local.contributor.authoruidRidzwan, Syazwan, u1084110
local.description.notesImported from ARIES
local.identifier.absfor340701 - Computational chemistry
local.identifier.ariespublicationa383154xPUB37601
local.identifier.citationvolume72
local.identifier.doi10.1071/ES21031
local.identifier.scopusID2-s2.0-85137200347
local.type.statusPublished Version
publicationvolume.volumeNumber72

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