WCRP CMIP6 CMIP CSIRO-ARCCSS ACCESS-CM2

Dix, Martin et al.

Experiment
Summary
These data include all datasets published for 'CMIP6.CMIP.CSIRO-ARCCSS.ACCESS-CM2' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The Australian Community Climate and Earth System Simulator Climate Model Version 2 climate model, released in 2019, includes the following components: aerosol: UKCA-GLOMAP-mode, atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km), land: CABLE2.5, ocean: ACCESS-OM2 (GFDL-MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m), seaIce: CICE5.1.2 (same grid as ocean). The model was run by the CSIRO (Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia), ARCCSS (Australian Research Council Centre of Excellence for Climate System Science). Mailing address: CSIRO, c/o Simon J. Marsland, 107-121 Station Street, Aspendale, Victoria 3195, Australia (CSIRO-ARCCSS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, land: 250 km, ocean: 100 km, seaIce: 100 km.

Individuals using the data must abide by terms of use for CMIP6 data (https://pcmdi.llnl.gov/CMIP6/TermsOfUse). The original license restrictions on these datasets were recorded as global attributes in the data files, but these may have been subsequently updated.
Project
CMIP6 (WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets)
Contact
Dr. Chloe Mackallah (
 Chloe.Mackallah@nullcsiro.au
0000-0003-4989-5530)

Martin Dix (
 martin.dix@nullcsiro.au
0000-0002-7534-0654)
Location(s)
global
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage
950-01-02 to 2015-01-01 (gregorian)
Use constraints
Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
5.18 TiB (5690252696334 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Review Date
2026-10-21
Cite as
Dix, Martin; Bi, Daohua; Dobrohotoff, Peter; Fiedler, Russell; Harman, Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell, Siobhan; Rashid, Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire; Vohralik, Peter; Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman, Roger; Dias, Fabio Boeira; Domingues, Catia M.; Hannah, Nicholas; Heerdegen, Aidan; Savita, Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans, Ben; Richards, Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon; Snow, Kate; Ward, Marshall; Yang, Rui (2023). CSIRO-ARCCSS ACCESS-CM2 model output prepared for CMIP6 CMIP. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=C6_4381089

BibTeX RIS
Description
as consistent as the model(s) ACCESS-CM2
Description
All TQA checks were passed for WCRP CMIP6 CMIP CSIRO-ARCCSS ACCESS-CM2.
Method
CMIP6-TQA Checks
Method Description
Checks performed by WDCC. CMIP6-TQA metrics are documented: https://redmine.dkrz.de/projects/cmip6-lta-and-data-citation/wiki/Quality_Checks
Method Url
Result Date
2024-06-24
Contact typePersonORCIDOrganization
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Is part of

[1] DOI Dix, Martin; Bi, Daohua; Dobrohotoff, Peter; Fiedler, Russell; Harman, Ian; Law, Rachel; Mackallah, Chloe; Marsland, Simon; O'Farrell, Siobhan; Rashid, Harun; Srbinovsky, Jhan; Sullivan, Arnold; Trenham, Claire; Vohralik, Peter; Watterson, Ian; Williams, Gareth; Woodhouse, Matthew; Bodman, Roger; Dias, Fabio Boeira; Domingues, Catia M.; Hannah, Nicholas; Heerdegen, Aidan; Savita, Abhishek; Wales, Scott; Allen, Chris; Druken, Kelsey; Evans, Ben; Richards, Clare; Ridzwan, Syazwan Mohamed; Roberts, Dale; Smillie, Jon; Snow, Kate; Ward, Marshall; Yang, Rui. (2019). CSIRO-ARCCSS ACCESS-CM2 model output prepared for CMIP6 CMIP. doi:10.22033/ESGF/CMIP6.2281

Is referenced by

[1] DOI Smith, Abigail; Jahn, Alexandra; Wang, Muyin. (2020). Seasonal transition dates can reveal biases in Arctic sea ice simulations. doi:10.5194/tc-2020-81
[2] DOI Smith, Abigail; Jahn, Alexandra; Wang, Muyin. (2020). Seasonal transition dates can reveal biases in Arctic sea ice simulations. doi:10.5194/tc-14-2977-2020
[3] DOI Jain, Shipra; Mishra, Saroj K.; Anand, Abhishek; Salunke, Popat; Fasullo, John T. (2020). Historical and projected low-frequency variability in the Somali Jet and Indian Summer Monsoon. doi:10.1007/s00382-020-05492-z
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[6] DOI Carlson, Kimberly M.; Mora, Camilo; Xu, Jinwen; Setter, Renee O.; Harangody, Michelle; Franklin, Erik C.; Kantar, Michael B.; Lucas, Matthew; Menzo, Zachary M.; Spirandelli, Daniele; Schanzenbach, David; Courtlandt Warr, C.; Wong, Amanda E.; Businger, Steven. (2022). Global rainbow distribution under current and future climates. doi:10.1016/j.gloenvcha.2022.102604
[7] DOI Rogers, Matthew H.; Furtado, Jason; Anderson, Bruce. (2021). The Pacific Decadal Precession and its Relationship to Tropical Pacific Decadal Variability in CMIP6 Models. doi:10.21203/rs.3.rs-390152/v1
[8] DOI Morgenstern, Olaf; Kinnison, Douglas E.; Mills, Michael; Michou, Martine; Horowitz, Larry W.; Lin, Pu; Deushi, Makoto; Yoshida, Kohei; O’Connor, Fiona M.; Tang, Yongming; Abraham, N. Luke; Keeble, James; Dennison, Fraser; Rozanov, Eugene; Egorova, Tatiana; Sukhodolov, Timofei; Zeng, Guang. (2022). Comparison of Arctic and Antarctic Stratospheric Climates in Chemistry Versus No‐Chemistry Climate Models. doi:10.1029/2022jd037123
[9] DOI Rogers, Matthew H.; Furtado, Jason C.; Anderson, Bruce T. (2022). The pacific decadal precession and its relationship to tropical pacific decadal variability in CMIP6 models. doi:10.1007/s00382-021-06114-y
[10] DOI Rivera, Paris. (2022). Evaluation of Historical Simulations of CMIP6 Models for Temperature and Precipitation in Guatemala. doi:10.1007/s41748-022-00333-x
[11] DOI Seo, Seung Beom; Jee, Hee Won; Cho, Jaepil; Oh, Chansung; Chae, Yeora; Jo, Sera; Hur, Jina. (2024). Assessment of the flood damage reduction effect of climate change adaptation policies under temperature increase scenarios. doi:10.1007/s11027-024-10105-9
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[13] DOI Vintsek, Lizaveta; Klichowska, Ewelina; Nowak, Arkadiusz; Nobis, Marcin. (2024). Insight into the phylogeny and responses of species from the genus Sergia (Campanulaceae) to the climate changes predicted for the Mountains of Central Asia (a world biodiversity hotspot). doi:10.1186/s12870-024-04938-4
[14] DOI Flores, Hauke; Veyssiere, Gaelle; Castellani, Giulia; Wilkinson, Jeremy; Hoppmann, Mario; Karcher, Michael; Valcic, Lovro; Cornils, Astrid; Geoffroy, Maxime; Nicolaus, Marcel; Niehoff, Barbara; Priou, Pierre; Schmidt, Katrin; Stroeve, Julienne. (2023). Sea-ice decline makes zooplankton stay deeper for longer. doi:10.21203/rs.3.rs-2436026/v1
[15] DOI Kouki, Kerttu; Räisänen, Petri; Luojus, Kari; Luomaranta, Anna; Riihelä, Aku. (2022). Evaluation of Northern Hemisphere snow water equivalent in CMIP6 models during 1982–2014. doi:10.5194/tc-16-1007-2022
[16] DOI Duffy, Margaret L; O'Gorman, Paul A. (2022). Intermodel spread in Walker circulation responses linked to spread in moist stability and radiation responses. doi:10.22541/essoar.167078790.00035564/v1
[17] DOI Paçal, Aytaç; Hassler, Birgit; Weigel, Katja; Kurnaz, M. Levent; Wehner, Michael F.; Eyring, Veronika. (2023). Detecting Extreme Temperature Events Using Gaussian Mixture Models. doi:10.1029/2023jd038906
[18] DOI :unav. (2022). Earth s Future - 2021 - Marvel - Projected Changes to Hydroclimate Seasonality in the Continental United States.pdf. doi:10.7916/zz52-w961
[19] DOI Liu, Zhu; Zhang, Guoping; Ding, Jin; Xiao, Xiong. (2022). Biases of the Mean and Shape Properties in CMIP6 Extreme Precipitation Over Central Asia. doi:10.3389/feart.2022.918337
[20] DOI Marvel, Kate; Cook, Benjamin I.; Bonfils, Céline; Smerdon, Jason E.; Williams, A. Park; Liu, Haibo. (2021). Projected Changes to Hydroclimate Seasonality in the Continental United States. doi:10.1029/2021ef002019
[21] DOI Hormwichian, Rattana; Kaewplang, Siwa; Kangrang, Anongrit; Supakosol, Jirawat; Boonrawd, Kowit; Sriworamat, Krit; Muangthong, Sompinit; Songsaengrit, Songphol; Prasanchum, Haris. (2023). Understanding the Interactions of Climate and Land Use Changes with Runoff Components in Spatial-Temporal Dimensions in the Upper Chi Basin, Thailand. doi:10.3390/w15193345
[22] DOI Li, Juan; Zhao, Yuexuan; Wang, Menglu; Tan, Wei; Yin, Jiyuan. (2024). Projected Changes of Wind Energy Input to Surface Waves in the North Indian Ocean Based on CMIP6. doi:10.3390/atmos15010139
[23] DOI Kouki, Kerttu; Räisänen, Petri; Luojus, Kari; Luomaranta, Anna; Riihelä, Aku. (2022). Evaluation of Northern Hemisphere snow water equivalent in CMIP6 models during 1982-2014. doi:10.5194/ems2022-447
[24] DOI Diamond, Rachel; Sime, Louise C.; Holmes, Caroline R.; Schroeder, David. (2024). CMIP6 Models Rarely Simulate Antarctic Winter Sea‐Ice Anomalies as Large as Observed in 2023. doi:10.1029/2024gl109265
[25] DOI DeRepentigny, Patricia; Jahn, Alexandra; Holland, Marika M.; Kay, Jennifer E.; Fasullo, John; Lamarque, Jean-François; Tilmes, Simone; Hannay, Cécile; Mills, Michael J.; Bailey, David A.; Barrett, Andrew P. (2022). Enhanced simulated early 21st century Arctic sea ice loss due to CMIP6 biomass burning emissions. doi:10.1126/sciadv.abo2405
[26] DOI Boussalim, Youssef; Dallahi, Youssef. (2024). Future shifts in climatic conditions promoting northward expansion of the Mediterranean climate in the circum-Mediterranean region. doi:10.1007/s10661-024-13286-7

Is cited by

[1] DOI Fox-Kemper, B.; Hewitt, H.T.; Xiao, C.; Aðalgeirsdóttir, G.; Drijfhout, S.S.; Edwards, T.L.; Golledge, N.R.; Hemer, M.; Kopp, R.E.; Krinner, G.; Mix, A.; Notz, D.; Nowicki, S.; Nurhati, I.S.; Ruiz, L.; Sallée, J.-B.; Slangen, A.B.A.; Yu, Y. (2023). Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. doi:10.1017/9781009157896.011
[2] DOI Lee, J.-Y.; Marotzke, J.; Bala, G.; Cao, L.; Corti, S.; Dunne, J.P.; Engelbrecht, F.; Fischer, E.; Fyfe, J.C; Jones, C.; Maycock, A.; Mutemi, J.; Ndiaye, O.; Panickal, S.; Zhou,T. (2023). Future Global Climate: Scenario-Based Projections and Near-Term Information. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. doi:10.1017/9781009157896.006
[3] DOI Eyring, V.; Gillett, N.P.; Achuta Rao, K.M.; Barimalala, R.; Barreiro Parrillo, M.; Bellouin, N.; Cassou, C.; Durack, P.J.; Kosaka, Y.; McGregor, S.; Min, S.; Morgenstern, O.; Sun, Y. (2023). Human Influence on the Climate System. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. doi:10.1017/9781009157896.005
[4] DOI Doblas-Reyes, F.J.; Sörensson, A.A.; Almazroui, M.; Dosio, A.; Gutowski, W.J.; Haarsma, R.; Hamdi, R.; Hewitson, B.; Kwon, W.-T.; Lamptey, B.L.; Maraun, D.; Stephenson, T.S.; Takayabu, I.; Terray, L.; Turner, A.; Zuo, Z. (2023). Linking Global to Regional Climate Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. doi:10.1017/9781009157896.012
[5] DOI Seneviratne, S.I.; Zhang, X.; Adnan, M.; Badi, W.; Dereczynski, C.; Di Luca, A.; Ghosh, S.; Iskandar, I.; Kossin, J.; Lewis, S.; Otto, F.; Pinto, I.; Satoh, M.; Vicente-Serrano, S.M.; Wehner, M.; Zhou, B. (2023). Weather and Climate Extreme Events in a Changing Climate. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. doi:10.1017/9781009157896.013
[6] DOI Gutiérrez, J.M.; Jones, R.G.; Narisma, G.T.; Alves, L.M.; Amjad, M.; Gorodetskaya, I.V.; Grose, M.; Klutse, N.A.B.; Krakovska, S.; Li, J.; Martínez-Castro, D.; Mearns, L.O.; Mernild, S.H.; Ngo-Duc, T.; van den Hurk, B.; Yoon, J.-H. (2023). Atlas. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. doi:10.1017/9781009157896.021
[7] DOI Intergovernmental Panel on Climate Change (IPCC). (2023). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. doi:10.1017/9781009157896
[8] DOI Douville, H.; Raghavan, K.; Renwick, J.; Allan, R.P.; Arias, P.A.; Barlow, M.; Cerezo-Mota, R.; Cherchi, A.; Gan, T.Y.; Gergis, J.; Jiang, D.; Khan, A.; Pokam Mba, W.; Rosenfeld, D.; Tierney, J.; Zolina, O. (2023). Water Cycle Changes. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. doi:10.1017/9781009157896.010
[9] DOI Lea, James M.; Fitt, Robert N. L.; Brough, Stephen; Carr, Georgia; Dick, Jonathan; Jones, Natasha; Webster, Richard J. (2024). Making climate reanalysis and CMIP6 data processing easy: two “point-and-click” cloud based user interfaces for environmental and ecological studies. doi:10.3389/fenvs.2024.1294446
[10] DOI Tariq, Mohsin; Rohith, A.N.; Cibin, R.; Aruffo, Eleonora; Abouzied, Gamal AbdElNasser Allam; Carlo, Piero Di. (2024). Understanding future hydrologic challenges: Modelling the impact of climate change on river runoff in central Italy. doi:10.1016/j.envc.2024.100899
[11] DOI Shao, Manqing; Fernando, Nelun; Zhu, John; Zhao, Gang; Kao, Shih‐Chieh; Zhao, Bingjie; Roberts, Elizabeth; Gao, Huilin. (2023). Estimating Future Surface Water Availability Through an Integrated Climate‐Hydrology‐Management Modeling Framework at a Basin Scale Under CMIP6 Scenarios. doi:10.1029/2022wr034099
[12] DOI Flores, Hauke; Veyssière, Gaëlle; Castellani, Giulia; Wilkinson, Jeremy; Hoppmann, Mario; Karcher, Michael; Valcic, Lovro; Cornils, Astrid; Geoffroy, Maxime; Nicolaus, Marcel; Niehoff, Barbara; Priou, Pierre; Schmidt, Katrin; Stroeve, Julienne. (2023). Sea-ice decline could keep zooplankton deeper for longer. doi:10.1038/s41558-023-01779-1
[13] DOI Sohail, Taimoor; Zika, Jan D.; Irving, Damien B.; Church, John A. (2022). Observed poleward freshwater transport since 1970. doi:10.1038/s41586-021-04370-w
[14] DOI Jönsson, Aiden R.; Bender, Frida A.-M. (2022). The response of hemispheric differences in Earth’s albedo to CO<sub>2</sub> forcing in coupled models and its implications for shortwave radiative feedback strength. doi:10.5194/egusphere-2022-811
[15] DOI Shukla, Krishna Kumar; Attada, Raju. (2023). CMIP6 models informed summer human thermal discomfort conditions in Indian regional hotspot. doi:10.1038/s41598-023-38602-y
[16] DOI Duffy, Margaret L.; O’Gorman, Paul A. (2022). Intermodel Spread in Walker Circulation Responses Linked to Spread in Moist Stability and Radiation Responses. doi:10.1029/2022jd037382
[17] DOI Bjarke, Nels; Barsugli, Joseph; Livneh, Ben. (2023). Ensemble of CMIP6 derived reference and potential evapotranspiration with radiative and advective components. doi:10.1038/s41597-023-02290-0
[18] DOI Jönsson, Aiden. (2022). Reply on RC1. doi:10.5194/egusphere-2022-811-ac1
[19] DOI Jönsson, Aiden. (2022). Reply on RC2. doi:10.5194/egusphere-2022-811-ac2

Attached Dataset Groups ( 5 )

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[Entry acronym: C6_4381089] [Entry id: 4381089]