WCRP CMIP6 LUMIP CMCC CMCC-ESM2

Peano, Daniele; Lovato, Tomas; Materia, Stefano

Experiment
Summary
These data include all datasets published for 'CMIP6.LUMIP.CMCC.CMCC-ESM2' 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
Dr. Daniele Peano (
 daniele.peano@nullcmcc.it
0000-0002-6975-4447)
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 (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
114.61 MiB (120178317 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2033-04-15
Cite as
Peano, Daniele; Lovato, Tomas; Materia, Stefano (2023). CMCC CMCC-ESM2 model output prepared for CMIP6 LUMIP. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=C6_4370508

BibTeX RIS
Description
as consistent as the model(s) CMCC-ESM2
Contact typePersonORCIDOrganization
-

Is part of

[1] DOI Peano, Daniele; Lovato, Tomas; Materia, Stefano. (2020). CMCC CMCC-ESM2 model output prepared for CMIP6 LUMIP. doi:10.22033/ESGF/CMIP6.13166

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 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
[4] 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
[5] 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
[6] 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
[7] 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
[8] 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
[9] 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
[10] 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
[11] 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
[12] 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
[13] DOI Bryden, Harry. (2024). Comment on egusphere-2023-2688. doi:10.5194/egusphere-2023-2688-ac4
[14] 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
[15] 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
[16] 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

References

[1] DOI Lovato, Tomas; Peano, Daniele; Butenschön, Momme; Materia, Stefano; Iovino, Doroteaciro; Scoccimarro, Enrico; Fogli, Pier Giuseppe; Cherchi, Annalisa; Bellucci, Alessio; Gualdi, Silvio; Masina, Simona; Navarra, Antonio. (2022). CMIP6 simulations with the CMCC Earth System Model (CMCC‐ESM2). doi:10.1029/2021MS002814

Is related to

[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 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
[3] DOI Smith, Callum; Baker, Jessica; Robertson, Eddy; Chadwick, Robin; Kelley, Douglas; Argles, Arthur; Coelho, Caio; Castilho, Dayana; Kubota, Paulo; Talamoni, Isabella; Spracklen, Dominick. (2023). Observed and simulated local climate responses to tropical deforestation. doi:10.5194/egusphere-egu23-5938
[4] 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
[5] 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

Attached Dataset Groups ( 1 )

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[Entry acronym: C6_4370508] [Entry id: 4370508]