NCC NorESM2-MM model output prepared for CMIP6 ScenarioMIP

Bentsen, Mats; Oliviè, Dirk Jan Leo; Seland, Øyvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Schwinger, Jörg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael

WCRP CMIP6 ScenarioMIP NCC NorESM2-MM

hdl:21.14106/95a129157aac99c21d5ed15428d5906aee2b1034

Bentsen, Mats et al.

Experiment

CMIP6 model-output NCC NorESM2-MM ScenarioMIP

Summary: These data include all datasets published for 'CMIP6.ScenarioMIP.NCC.NorESM2-MM' 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 NorESM2-MM (medium atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (1 degree resolution; 288 x 192; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 100 km, ocnBgchem: 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: Mats Bentsen (
mben@nullnorceresearch.no
0000-0001-5441-4063)
Location(s): global
Spatial Coverage: Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage: 2015-01-01 to 2101-01-01 (gregorian)
Use constraints: Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Data Catalog: World Data Center for Climate
Size: 9.94 TiB (10926673028243 Byte)
Format: NetCDF
Status: completely archived
Creation Date: 2019-11-08
Review Date: 2026-10-21

Find data Export dataset acronyms

Cite as: Bentsen, Mats; Oliviè, Dirk Jan Leo; Seland, Øyvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Schwinger, Jörg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael (2023). NCC NorESM2-MM model output prepared for CMIP6 ScenarioMIP. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=C6_4658847

BibTeX RIS

Consistency report

as consistent as the model(s) NorESM2-MM

Description: as consistent as the model(s) NorESM2-MM

Contact type	Person	ORCID	Organization
Contact	Mats Bentsen	0000-0001-5441-4063	NORCE Norwegian Research Centre
Author	Mats Bentsen	0000-0001-5441-4063	NORCE Norwegian Research Centre
Author	Dirk Jan Leo Oliviè	-	Norwegian Meteorological Institute
Author	Øyvind Seland	0000-0001-6804-5879	Norwegian Meteorological Institute
Author	Thomas Toniazzo	-	NORCE Norwegian Research Centre
Author	Ada Gjermundsen	0000-0002-2053-4689	Norwegian Meteorological Institute
Author	Lise Seland Graff	0000-0003-3217-6329	Norwegian Meteorological Institute
Author	Jens Boldingh Debernard	0000-0002-9276-5996	Norwegian Meteorological Institute
Author	Alok Kumar Gupta	-	NORCE Norwegian Research Centre
Author	Yanchun He	0000-0002-5932-3627	Nansen Environmental and Remote Sensing Center
Author	Alf Kirkevåg	0000-0002-3691-554X	Norwegian Meteorological Institute
Author	Jörg Schwinger	0000-0002-7525-6882	NORCE Norwegian Research Centre
Author	Jerry Tjiputra	0000-0002-4600-2453	NORCE Norwegian Research Centre
Author	Kjetil Schanke Aas	0000-0003-4223-2267	University of Oslo
Author	Ingo Bethke	0000-0002-6836-9838	University of Bergen
Author	Yuanchao Fan	0000-0002-3462-1820	NORCE Norwegian Research Centre
Author	Jan Griesfeller	0000-0001-8497-1661	Norwegian Meteorological Institute
Author	Alf Grini	-	Norwegian Meteorological Institute
Author	Chuncheng Guo	0000-0001-6276-6499	NORCE Norwegian Research Centre
Author	Mehmet Ilicak	0000-0002-4777-8835	NORCE Norwegian Research Centre
Author	Inger Helene Hafsahl Karset	0000-0002-1981-9839	University of Oslo
Author	Oskar Andreas Landgren	0000-0002-6264-8502	Norwegian Meteorological Institute
Author	Johan Liakka	0000-0003-2669-0057	Nansen Environmental and Remote Sensing Center
Author	Kine Onsum Moseid	-	Norwegian Meteorological Institute
Author	Aleksi Nummelin	0000-0002-7591-3504	NORCE Norwegian Research Centre
Author	Clemens Spensberger	0000-0002-9649-6957	University of Bergen
Author	Hui Tang	-	University of Oslo
Author	Zhongshi Zhang	0000-0002-2354-1622	NORCE Norwegian Research Centre
Author	Christoph Heinze	0000-0003-4074-8390	University of Bergen
Author	Trond Iversen	0000-0001-6875-2979	Norwegian Meteorological Institute
Author	Michael Schulz	0000-0003-4493-4158	Norwegian Meteorological Institute

Is part of

[1] DOI Bentsen, Mats; Oliviè, Dirk Jan Leo; Seland, Øyvind; Toniazzo, Thomas; Gjermundsen, Ada; Graff, Lise Seland; Debernard, Jens Boldingh; Gupta, Alok Kumar; He, Yanchun; Kirkevåg, Alf; Schwinger, Jörg; Tjiputra, Jerry; Aas, Kjetil Schanke; Bethke, Ingo; Fan, Yuanchao; Griesfeller, Jan; Grini, Alf; Guo, Chuncheng; Ilicak, Mehmet; Karset, Inger Helene Hafsahl; Landgren, Oskar Andreas; Liakka, Johan; Moseid, Kine Onsum; Nummelin, Aleksi; Spensberger, Clemens; Tang, Hui; Zhang, Zhongshi; Heinze, Christoph; Iversen, Trond; Schulz, Michael. (2019). NCC NorESM2-MM model output prepared for CMIP6 ScenarioMIP. doi:10.22033/ESGF/CMIP6.608

Is referenced by

[1] DOI Su, Xiaole; Wu, Tongwen; Zhang, Jie; Zhang, Yong; Jin, Junli; Zhou, Qing; Zhang, Fang; Liu, Yiming; Zhou, Yumeng; Zhang, Lin; Turnock, Steven T.; Furtado, Kalli. (2022). Present-Day PM2.5 over Asia: Simulation and Uncertainty in CMIP6 ESMs. doi:10.1007/s13351-022-1202-7

[2] DOI Liu, Jianzhao; Yuan, Fenghui; Zuo, Yunjiang; Zhou, Rui; Zhu, Xinhao; Li, Kexin; Wang, Nannan; Chen, Ning; Guo, Ziyu; Zhang, Lihua; Sun, Ying; Guo, Yuedong; Song, Changchun; Xu, Xiaofeng. (2022). Warming-induced vegetation growth cancels out soil carbon-climate feedback in the northern Asian permafrost region in the 21st century. doi:10.1088/1748-9326/ac7eda

[3] DOI Sung, Jang Hyun; Seo, Seung Beom; Ryu, Young. (2022). Deep Learning-Based Projection of Occurrence Frequency of Forest Fires under SSP Scenario: Exploring the Link between Drought Characteristics and Forest Fires. doi:10.3390/su14095494

[4] DOI Thompson, Marten; Braverman, Amy; Chatterjee, Snigdhansu. (2022). A dependent multimodel approach to climate prediction with Gaussian processes. doi:10.1017/eds.2022.24

[5] DOI Olson, Roman; Kim, Soong-Ki; Fan, Yanan; An, Soon-Il. (2022). Probabilistic projections of El Niño Southern Oscillation properties accounting for model dependence and skill. doi:10.1038/s41598-022-26513-3

[6] DOI Seltzer, Alan M.; Blard, Pierre-Henri; Sherwood, Steven C.; Kageyama, Masa. (2023). Terrestrial amplification of past, present, and future climate change. doi:10.1126/sciadv.adf8119

[7] DOI Kim, Chaeyoung; Kim, Wheemoon; Song, Wonkyong; Cho, Jaepil; Choi, Jaeyong. (2023). Prediction of Native Seed Habitat Distribution According to SSP Scenario and Seed Transfer Zones: A Focus on Acer pictum subsp. mono and Quercus acuta. doi:10.3390/f14010087

[8] DOI Lee, Taesam; Choi, Younghwan; Singh, Vijay P. (2023). Stochastic Spatial Binary Simulation with Multivariate Normal Distribution for Illustrating Future Evolution of Umbrella-Shape Summer Shelter under Climate Change. doi:10.3390/su15043147

[9] DOI Qiu, Han; Hao, Dalei; Zeng, Yelu; Zhang, Xuesong; Chen, Min. (2023). Global and northern-high-latitude net ecosystem production in the 21st century from CMIP6 experiments. doi:10.5194/esd-14-1-2023

[10] DOI Jung, Jin-Yong; Kim, Jin-Hee; Baek, Minju; Cho, Chuloh; Cho, Jaepil; Kim, Junhwan; Pavan, Willingthon; Kim, Kwang-Hyung. (2022). Adapting to the projected epidemics of Fusarium head blight of wheat in Korea under climate change scenarios. doi:10.3389/fpls.2022.1040752

[11] DOI Rettie, Fasil M.; Gayler, Sebastian; Weber, Tobias K. D.; Tesfaye, Kindie; Streck, Thilo. (2023). High-resolution CMIP6 climate projections for Ethiopia using the gridded statistical downscaling method. doi:10.1038/s41597-023-02337-2

[12] DOI Lee, Taesam; Jo, Jaephil; Singh, Vijay P. (2022). Temporal downscaling of daily precipitation to 10 min data for assessment of climate change impact on floods in small-size watersheds applied to Jinju, South Korea. doi:10.1007/s00382-022-06216-1

[13] DOI Malles, Jan-Hendrik. (2023). Past to Future and Land to Sea: constraining global glacier models by observations and exploring ice-ocean interactions. doi:10.26092/elib/2323

[14] DOI Cook, B. I.; Mankin, J. S.; Williams, A. P.; Marvel, K. D.; Smerdon, J. E.; Liu, H. (2021). Uncertainties, limits, and benefits of climate change mitigation for soil moisture drought in southwestern North America. doi:10.1029/2021EF002014

[15] DOI Cook, B. I.; Mankin, J. S.; Williams, A. P.; Marvel, K. D.; Smerdon, J. E.; Liu, H. (2021). Uncertainties, Limits, and Benefits of Climate Change Mitigation for Soil Moisture Drought in Southwestern North America. doi:10.1029/2021ef002014

[16] DOI Sellevold, Raymond; Vizcaino, Miren. (2021). First Application of Artificial Neural Networks to Estimate 21st Century Greenland Ice Sheet Surface Melt. doi:10.1029/2021gl092449

[17] DOI Cook, B. I.; Mankin, J. S.; Williams, A. P.; Marvel, K. D.; Smerdon, J. E.; Liu, H. (2022). Uncertainties, Limits, and Benefits of Climate Change Mitigation for Soil Moisture Drought in Southwestern North America. doi:10.7916/m79w-wc11

[18] DOI Sung, Jang Hyun; Kang, Dong Ho; Seo, Young-Ho; Kim, Byung Sik. (2023). Analysis of Extreme Rainfall Characteristics in 2022 and Projection of Extreme Rainfall Based on Climate Change Scenarios. doi:10.3390/w15223986

[19] DOI Buenafe, Kristine Camille V.; Dunn, Daniel C.; Everett, Jason D.; Brito‐Morales, Isaac; Schoeman, David S.; Hanson, Jeffrey O.; Dabalà, Alvise; Neubert, Sandra; Cannicci, Stefano; Kaschner, Kristin; Richardson, Anthony J. (2023). A metric‐based framework for climate‐smart conservation planning. doi:10.1002/eap.2852

[20] DOI Bermejo Santos, Lorena; Gaitán Fernández, Emma. (2024). Efectos del cambio climático en las aguas subterráneas. doi:10.32418/rfs.2023.307.5277

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 Lavoie, Juliette; Bourgault, Pascal; Logan, Travis; Caron, Louis-Philippe; Gammon, Sarah; Smith, Trevor James; Biner, Sébastien; Braun, Marco. (2023). ESPO-G6-R2 : Ensemble de scénarios polyvalents d'Ouranos - Modèles Globaux CMIP6 - RDRS v2.1 / Ouranos Multipurpose Climate Scenarios - Global models CMIP6 - RDRS v2.1. doi:10.5281/zenodo.7764928

[9] DOI Lavoie, Juliette; Bourgault, Pascal; Logan, Travis; Caron, Louis-Philippe; Gammon, Sarah; Smith, Trevor James; Biner, Sébastien; Leduc, Martin. (2023). ESPO-G6-E5L : Ensemble de scénarios polyvalents d'Ouranos - Modèles Globaux CMIP6 - ERA5-Land / Ouranos Multipurpose Climate Scenarios - Global Models CMIP6 - ERA5-Land. doi:10.5281/zenodo.7764929

[10] 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

[11] DOI Diamond, Michael S.; Gristey, Jake J.; Kay, Jennifer E.; Feingold, Graham. (2022). Anthropogenic aerosol and cryosphere changes drive Earth’s strong but transient clear-sky hemispheric albedo asymmetry. doi:10.1038/s43247-022-00546-y

[12] DOI Paquin, Dominique; Giguère, Michel; McCray, Christopher; Asselin, Olivier; Gauthier, Charles; Matte, Dominic; Labonté, Marie-Pier; Bourgault, Pascal. (2024). CRCM5-CMIP6 : A dynamically-downscaled ensemble of CMIP6 simulations. doi:10.5281/zenodo.11061924

[13] DOI Linke, Olivia; Feldl, Nicole; Quaas, Johannes. (2023). Current-climate sea ice amount and seasonality as constraints for future Arctic amplification. doi:10.1088/2752-5295/acf4b7

[14] DOI Yalcin, Emrah. (2023). Quantifying climate change impacts on hydropower production under CMIP6 multi-model ensemble projections using SWAT model. doi:10.1080/02626667.2023.2245815

[15] DOI Paquin, Dominique; Giguère, Michel; McCray, Christopher; Asselin, Olivier; Gauthier, Charles; Matte, Dominic; Labonté, Marie-Pier; Bourgault, Pascal. (2024). CRCM5-CMIP6 : A dynamically-downscaled ensemble of CMIP6 simulations. doi:10.5281/zenodo.11122934

Attached Dataset Groups ( 4 )

Parent project(s)

WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets

[Entry acronym: C6_4658847] [Entry id: 4658847]