WCRP CMIP6 CMIP EC-Earth-Consortium EC-Earth3 historical

EC-Earth Consortium (EC-Earth)

Dataset Group
Summary
These data include all datasets published for 'CMIP6.CMIP.EC-Earth-Consortium.EC-Earth3.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'. IMPORTANT NOTE (Prashanth Dwarakanath 2019-08-30): This only affects the r1i1p1f1 member of the EC-EARTH-CONSORTIUM ensemble (KNMI runs in version v20190711); the historical experiment has accidentally been started with an incorrect initial ocean condition. We will rerun the historical experiment and the scenario experiments, and publish them when they are finalized. The EC Earth 3.3 climate model, released in 2019, includes the following components: atmos: IFS cy36r4 (TL255, linearly reduced Gaussian grid equivalent to 512 x 256 longitude/latitude; 91 levels; top level 0.01 hPa), land: HTESSEL (land surface scheme built in IFS), ocean: NEMO3.6 (ORCA1 tripolar primarily 1 deg with meridional refinement down to 1/3 degree in the tropics; 362 x 292 longitude/latitude; 75 levels; top grid cell 0-1 m), seaIce: LIM3. The model was run by the AEMET, Spain; BSC, Spain; CNR-ISAC, Italy; DMI, Denmark; ENEA, Italy; FMI, Finland; Geomar, Germany; ICHEC, Ireland; ICTP, Italy; IDL, Portugal; IMAU, The Netherlands; IPMA, Portugal; KIT, Karlsruhe, Germany; KNMI, The Netherlands; Lund University, Sweden; Met Eireann, Ireland; NLeSC, The Netherlands; NTNU, Norway; Oxford University, UK; surfSARA, The Netherlands; SMHI, Sweden; Stockholm University, Sweden; Unite ASTR, Belgium; University College Dublin, Ireland; University of Bergen, Norway; University of Copenhagen, Denmark; University of Helsinki, Finland; University of Santiago de Compostela, Spain; Uppsala University, Sweden; Utrecht University, The Netherlands; Vrije Universiteit Amsterdam, the Netherlands; Wageningen University, The Netherlands. Mailing address: EC-Earth consortium, Rossby Center, Swedish Meteorological and Hydrological Institute/SMHI, SE-601 76 Norrkoping, Sweden (EC-Earth-Consortium) in native nominal resolutions: atmos: 100 km, land: 100 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
Uwe Fladrich (
 uwe.fladrich@nullsmhi.se
)
Location(s)
global
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage
1849-12-31 to 2015-12-16 (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
31.12 TiB (34219244224131 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2033-06-13
Cite as
EC-Earth Consortium (EC-Earth) (2023). EC-Earth-Consortium EC-Earth3 model output prepared for CMIP6 CMIP historical. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=C6_5189608

BibTeX RIS
Description
as consistent as the model(s) EC-Earth3
Description
All TQA checks were passed for WCRP CMIP6 CMIP EC-Earth-Consortium EC-Earth3 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
2024-11-25
Contact typePersonORCIDOrganization
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Is part of

[1] DOI EC-Earth Consortium (EC-Earth). (2019). EC-Earth-Consortium EC-Earth3 model output prepared for CMIP6 CMIP historical. doi:10.22033/ESGF/CMIP6.4700

Is referenced by

[1] DOI Faye, Aissatou; Akinsanola, Akintomide Afolayan. (2021). Evaluation of extreme precipitation indices over West Africa in CMIP6 models. doi:10.1007/s00382-021-05942-2
[2] 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
[3] DOI Koteswara Rao, K.; Lakshmi Kumar, T. V.; Kulkarni, Ashwini; Chowdary, Jasti S.; Desamsetti, Srinivas. (2022). Characteristic changes in climate projections over Indus Basin using the bias corrected CMIP6 simulations. doi:10.1007/s00382-021-06108-w
[4] DOI Zhong, Xinyue; Zhang, Tingjun; Kang, Shichang; Wang, Jian. (2021). Snow Depth Trends from CMIP6 Models Conflict with Observational Evidence. doi:10.1175/jcli-d-21-0177.1
[5] DOI Dike, Victor Nnamdi; Lin, Zhaohui; Fei, Kece; Langendijk, Gaby S.; Nath, Debashis. (2022). Evaluation and multimodel projection of seasonal precipitation extremes over central Asia based on CMIP6 simulations. doi:10.1002/joc.7641
[6] DOI Ayodele, Adigun Paul; Precious, Ebiendele Eromosele; Brhane, Ermias Sisay; Seun, Adawa Ifeoluwa. (2022). CMIP6 multi-model evaluation of summer extreme precipitation over East Asia. doi:10.1007/s40808-022-01433-3
[7] DOI Wang, Shizhu; Wang, Qiang; Wang, Muyin; Lohmann, Gerrit; Qiao, Fangli. (2022). Arctic Ocean Freshwater in CMIP6 Coupled Models. doi:10.1029/2022ef002878
[8] DOI Delgado‐Torres, C.; Verfaillie, D.; Mohino, E.; Donat, M. G. (2022). Representation and Annual to Decadal Predictability of Euro‐Atlantic Weather Regimes in the CMIP6 Version of the EC‐Earth Coupled Climate Model. doi:10.1029/2022jd036673
[9] DOI Weijer, W.; Cheng, W.; Garuba, O. A.; Hu, A.; Nadiga, B. T. (2020). CMIP6 Models Predict Significant 21st Century Decline of the Atlantic Meridional Overturning Circulation. doi:10.1029/2019gl086075
[10] DOI Akinsanola, Akintomide Afolayan; Ogunjobi, Kehinde O; Abolude, Akintayo T; Salack, Seyni. (2021). Projected changes in wind speed and wind energy potential over West Africa in CMIP6 models. doi:10.1088/1748-9326/abed7a
[11] DOI A A, Akinsanola; G J, Kooperman; A G, Pendergrass; W M, Hannah; K A, Reed. (2020). Seasonal representation of extreme precipitation indices over the United States in CMIP6 present-day simulations. doi:10.1088/1748-9326/ab92c1
[12] DOI Jönsson, A., Bender, F. A. (2022). Persistence and Variability of Earth`s Interhemispheric Albedo Symmetry in 19 Years of CERES EBAF Observations. doi:10.1175/jcli-d-20-0970.1
[13] DOI Zhao, Siyi; Zhang, Jiankai; Zhang, Chongyang; Xu, Mian; Keeble, James; Wang, Zhe; Xia, Xufan. (2022). Evaluating Long-Term Variability of the Arctic Stratospheric Polar Vortex Simulated by CMIP6 Models. doi:10.3390/rs14194701
[14] DOI Papalexiou, Simon Michael; Rajulapati, Chandra Rupa; Andreadis, Konstantinos M.; Foufoula‐Georgiou, Efi; Clark, Martyn P.; Trenberth, Kevin E. (2021). Probabilistic Evaluation of Drought in CMIP6 Simulations. doi:10.1029/2021ef002150
[15] 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
[16] DOI Zhao, Siyu. (2023). Environmental controls on African rainfall variability. doi:10.26153/tsw/47405
[17] 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
[18] 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
[19] DOI Zhao, Siyu; Cook, Kerry H.; Vizy, Edward K. (2024). Greenhouse gas-induced modification of intense storms over the west African sahel through thermodynamic and dynamic processes. doi:10.1007/s00382-024-07193-3
[20] DOI Andersson, Tom R.; Hosking, J. Scott; Pérez-Ortiz, María; Paige, Brooks; Elliott, Andrew; Russell, Chris; Law, Stephen; Jones, Daniel C.; Wilkinson, Jeremy; Phillips, Tony; Byrne, James; Tietsche, Steffen; Sarojini, Beena Balan; Blanchard-Wrigglesworth, Eduardo; Aksenov, Yevgeny; Downie, Rod; Shuckburgh, Emily. (2021). Seasonal Arctic sea ice forecasting with probabilistic deep learning. doi:10.1038/s41467-021-25257-4
[21] DOI MAKINDE, AKINTUNDE Israel; Abiodun, Babatunde J.; James, Rachel; Washington, Richard; Dyer, Ellen; Webb, Tom. (2022). How Well Do CMIP6 Models Simulate the Influence of the West African Westerly Jet on Sahel Precipitation?. doi:10.21203/rs.3.rs-1274137/v1

References

[1] DOI Ralf Döscher, Mario Acosta, Andrea Alessandri, Peter Anthoni, Almut Arneth, Thomas Arsouze, Tommi Bergmann, Raffaele Bernadello, Souhail Bousetta, Louis-Philippe Caron, Glenn Carver, Miguel Castrillo, Franco Catalano, Ivana Cvijanovic, Paolo Davini, Evelien Dekker, Francisco J. Doblas-Reyes, David Docquier, Pablo Echevarria, Uwe Fladrich, Ramon Fuentes-Franco, Matthias Gröger, Jost v. Hardenberg, Jenny Hieronymus, M. Pasha Karami, Jukka-Pekka Keskinen, Torben Koenigk, Risto Makkonen, Francois Massonnet, Martin Ménégoz, Paul A. Miller, Eduardo Moreno-Chamarro, Lars Nieradzik, Twan van Noije, Paul Nolan, Declan O’Donnell, Pirrka Ollinaho, Gijs van den Oord, Oriol Tintó Prims, Arthur Ramos, Thomas Reerink, Clement Rousset, Yohan Ruprich-Robert, Philippe Le Sager, Torben Schmith, Roland Schrödner, Federico Serva, Valentina Sicardi, Marianne Sloth Madsen, Benjamin Smith, Tian Tian, Etienne Tourigny, Petteri Uotila, Martin Vancoppenolle, Shiyu Wang, David Wårlind, Ulrika Willén, Klaus Wyser, Shuting Yang, and Xavier Yepes-Arbós. (2021). The EC-Earth3 Earth System Model for the Climate Model Intercomparison Project 6. doi:10.5194/gmd-2020-446

Is related to

[1] DOI Contzen, Justus; Dickhaus, Thorsten; Lohmann, Gerrit. (2022). Variability and extremes: statistical validation of the Alfred Wegener Institute Earth System Model (AWI-ESM). doi:10.5194/gmd-15-1803-2022
[2] DOI Rivera, Paris. (2022). Evaluation of Historical Simulations of CMIP6 Models for Temperature and Precipitation in Guatemala. doi:10.1007/s41748-022-00333-x
[3] DOI Datta, Rajarshi; Reddy, Manne Janga. (2023). Trivariate frequency analysis of droughts using copulas under future climate change over Vidarbha region in India. doi:10.1007/s00477-023-02484-3
[4] DOI Han, Pengfei; Long, Di; Zhao, Fanyu; Slater, Louise J. (2023). Response of Two Glaciers in Different Climate Settings of the Tibetan Plateau to Climate Change Through Year 2100 Using a Hybrid Modeling Approach. doi:10.1029/2022wr033618
[5] DOI Romanovska, Paula; Gleixner, Stephanie; Gornott, Christoph. (2023). Climate data uncertainty for agricultural impact assessments in West Africa. doi:10.1007/s00704-023-04430-3
[6] 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
[7] 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
[8] 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
[9] 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
[10] 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
[11] DOI Cook, Benjamin I; Williams, A Park; Marvel, Kate. (2022). Projected changes in early summer ridging and drought over the Central Plains. doi:10.1088/1748-9326/ac8e1a

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

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WCRP CMIP6 CMIP EC-Earth-Consortium EC-Earth3
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[Entry acronym: C6_5189608] [Entry id: 5189608]