WCRP CMIP6 CMIP CMCC CMCC-ESM2 historical

Lovato, Tomas; Peano, Daniele; Butenschön, Momme

Dataset Group
Summary
These data include all datasets published for 'CMIP6.CMIP.CMCC.CMCC-ESM2.historical' 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 CMCC-ESM2 climate model, released in 2017, includes the following components: aerosol: MAM3, atmos: CAM5.3 (1deg; 288 x 192 longitude/latitude; 30 levels; top at ~2 hPa), land: CLM4.5 (BGC mode), ocean: NEMO3.6 (ORCA1 tripolar primarly 1 deg lat/lon with meridional refinement down to 1/3 degree in the tropics; 362 x 292 longitude/latitude; 50 vertical levels; top grid cell 0-1 m), ocnBgchem: BFM5.2, seaIce: CICE4.0. The model was run by the Fondazione Centro Euro-Mediterraneo sui Cambiamenti Climatici, Lecce 73100, Italy (CMCC) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 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
Tomas Lovato (
 tomas.lovato@nullcmcc.it
0000-0002-5188-6767)
Location(s)
global
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage
1850-01-16 to 2014-12-16 (gregorian)
Use constraints
Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
139.09 GiB (149342443647 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Review Date
2026-10-21
Cite as
Lovato, Tomas; Peano, Daniele; Butenschön, Momme (2023). CMCC CMCC-ESM2 model output prepared for CMIP6 CMIP historical. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=C6_4368360

BibTeX RIS
Description
as consistent as the model(s) CMCC-ESM2
Description
All TQA checks were passed for WCRP CMIP6 CMIP CMCC CMCC-ESM2 historical.
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
-

Is part of

[1] DOI Lovato, Tomas; Peano, Daniele; Butenschön, Momme. (2021). CMCC CMCC-ESM2 model output prepared for CMIP6 CMIP historical. doi:10.22033/ESGF/CMIP6.13195

Is referenced by

[1] DOI Kvale, Karin; Keller, David P.; Koeve, Wolfgang; Meissner, Katrin J.; Somes, Chris; Yao, Wanxuan; Oschlies, Andreas. (2020). Explicit silicate cycling in the Kiel Marine Biogeochemistry Model, version 3 (KMBM3) embedded in the UVic ESCM version 2.9. doi:10.5194/gmd-2020-235
[2] DOI Loechli, Morgan; Stephens, Britton B.; Commane, Roisin; Chevallier, Frederic; McKain, Kathryn; Ralph, Keeling; Morgan, Eric; Patra, Prabir K.; Sargent, Maryann; Sweeney, Colm; Keppel-Aleks, Gretchen. (2022). Evaluating Northern Hemisphere Growing Season Net Carbon Flux in Climate Models Using Aircraft Observations. doi:10.1002/essoar.10512001.1
[3] DOI Rohr, Tyler; Richardson, Anthony J.; Lenton, Andrew; Chamberlain, Matthew A.; Shadwick, Elizabeth H. (2023). Zooplankton grazing is the largest source of uncertainty for marine carbon cycling in CMIP6 models. doi:10.1038/s43247-023-00871-w
[4] DOI Olusegun, Christiana; Ojo, Olusola; Olusola, Adeyemi; Ogunjo, Samuel. (2023). Solar radiation variability across Nigeria’s climatic zones: a validation and projection study with CORDEX, CMIP5, and CMIP6 models. doi:10.1007/s40808-023-01848-6
[5] DOI AYAR, Pradeebane VAITTINADA; Battisti, David S.; Li, Camille; King, Martin Peter; Vrac, Mathieu; Tjiputra, Jerry Fong. (2023). A regime view of ENSO flavours through clustering in CMIP6 models. doi:10.22541/essoar.167458065.54814300/v2
[6] DOI Rodgers, Keith B.; Schwinger, Jörg; Fassbender, Andrea J.; Landschützer, Peter; Yamaguchi, Ryohei; Frenzel, Hartmut; Stein, Karl; Müller, Jens Daniel; Goris, Nadine; Sharma, Sahil; Bushinsky, Seth; Chau, Thi‐Tuyet‐Trang; Gehlen, Marion; Gallego, M. Angeles; Gloege, Lucas; Gregor, Luke; Gruber, Nicolas; Hauck, Judith; Iida, Yosuke; Ishii, Masao; Keppler, Lydia; Kim, Ji‐Eun; Schlunegger, Sarah; Tjiputra, Jerry; Toyama, Katsuya; Vaittinada Ayar, Pradeebane; Velo, Antón. (2023). Seasonal Variability of the Surface Ocean Carbon Cycle: A Synthesis. doi:10.1029/2023gb007798
[7] DOI Lotfirad, Morteza; Adib, Arash; Riyahi, Mohammad Mehdi; Jafarpour, Mohammad. (2022). Evaluating the effects of CMIP6 model uncertainty on extreme flows of the Caspian Hyrcanian forest watersheds by BMA method. doi:10.21203/rs.3.rs-1479406/v1
[8] DOI Bryden, Harry. (2024). Comment on egusphere-2023-2688. doi:10.5194/egusphere-2023-2688-ac4
[9] DOI Kvale, Karin; Keller, David P.; Koeve, Wolfgang; Meissner, Katrin J.; Somes, Christopher J.; Yao, Wanxuan; Oschlies, Andreas. (2021). Explicit silicate cycling in the Kiel Marine Biogeochemistry Model version 3 (KMBM3) embedded in the UVic ESCM version 2.9. doi:10.5194/gmd-14-7255-2021
[10] DOI Vaittinada Ayar, Pradeebane; Battisti, David; Li, Camille; King, Martin; Vrac, Mathieu; Tjiputra, Jerry. (2024). A Regime View of ENSO Flavors Through Clustering in CMIP6 Models. doi:10.5194/egusphere-egu24-12936
[11] DOI Bryden, Harry; Drijfhout, Sybren; Mecking, Jennifer; Hazeleger, Wilco. (2023). Comparing observed and modelled components of the Atlantic Meridional Overturning Circulation at 26°N. doi:10.5194/egusphere-2023-2688

Is related to

[1] DOI Loechli, Morgan; Stephens, Britton B.; Commane, Roisin; Chevallier, Frédéric; McKain, Kathryn; Keeling, Ralph F.; Morgan, Eric J.; Patra, Prabir K.; Sargent, Maryann R.; Sweeney, Colm; Keppel‐Aleks, Gretchen. (2023). Evaluating Northern Hemisphere Growing Season Net Carbon Flux in Climate Models Using Aircraft Observations. doi:10.1029/2022gb007520

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 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
[6] DOI Loechli, Morgan; Stephens, Britton B.; Commane, Roisin; Chevallier, Frédéric; McKain, Kathryn; Keeling, Ralph F.; Morgan, Eric J.; Patra, Prabir K.; Sargent, Maryann R.; Sweeney, Colm; Keppel‐Aleks, Gretchen. (2023). Evaluating Northern Hemisphere Growing Season Net Carbon Flux in Climate Models Using Aircraft Observations. doi:10.1029/2022gb007520
[7] 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
[8] 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
[9] DOI Rajulapati, Chandra Rupa; Papalexiou, Simon Michael. (2023). Precipitation Bias Correction: A Novel Semi‐parametric Quantile Mapping Method. doi:10.1029/2023ea002823
[10] 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
[11] DOI Lovato, T.; Peano, D.; Butenschön, M.; Materia, S.; Iovino, D.; Scoccimarro, E.; Fogli, P. G.; Cherchi, A.; Bellucci, A.; Gualdi, S.; Masina, S.; Navarra, A. (2022). CMIP6 Simulations With the CMCC Earth System Model (CMCC‐ESM2). doi:10.1029/2021ms002814
[12] DOI Zhou, Xuhui; Li, Nan; Du, Zhenggang; Shao, Junjiong; Gao, Yukun; Zhou, Lingyan; Zhou, Guiyao; Ji, Yuhuang; Wen, Xuefa; Reich, Peter B. (2023). Increasing moisture limitation predominates recent decline trend in ecosystem respiration. doi:10.21203/rs.3.rs-3350160/v1
[13] DOI Bulgin, Claire E; Mecking, Jennifer V; Harvey, Ben J; Jevrejeva, Svetlana; McCarroll, Niall F; Merchant, Christopher J; Sinha, Bablu. (2023). Dynamic sea-level changes and potential implications for storm surges in the UK: a storylines perspective. doi:10.1088/1748-9326/acc6df
[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 Salem, Ali; Abduljaleel, Yasir. (2023). Assessing the impact of climate change scenario for simulating nonstationary rainfall intensity and duration. doi:10.5194/egusphere-egu23-4309
[16] DOI Lotfirad, Morteza; Adib, Arash; Riyahi, Mohammad Mehdi; Jafarpour, Mohammad. (2022). Evaluating the effect of the uncertainty of CMIP6 models on extreme flows of the Caspian Hyrcanian forest watersheds using the BMA method. doi:10.1007/s00477-022-02269-0

Parent

WCRP CMIP6 CMIP CMCC CMCC-ESM2
Details

Attached Datasets ( 68 )

Details for selected entry
[Entry acronym: C6_4368360] [Entry id: 4368360]