DOI for 'CMIP6.CMIP.INM.INM-CM4-8'
doi:10.22033/ESGF/CMIP6.1422
- Name
- CMIP6.CMIP.INM.INM-CM4-8
- Abstract
- Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets.
These data include all datasets published for 'CMIP6.CMIP.INM.INM-CM4-8' 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 INM-CM4-8 climate model, released in 2016, includes the following components:
aerosol: INM-AER1, atmos: INM-AM4-8 (2x1.5; 180 x 120 longitude/latitude; 21 levels; top level sigma = 0.01), land: INM-LND1, ocean: INM-OM5 (North Pole shifted to 60N, 90E; 360 x 318 longitude/latitude; 40 levels; sigma vertical coordinate), seaIce: INM-ICE1.
The model was run by the Institute for Numerical Mathematics, Russian Academy of Science, Moscow 119991, Russia (INM) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 km.
Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).
CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).
The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6. - Subjects
- CMIP6.CMIP.INM.INM-CM4-8 (DRS: http://github.com/WCRP-CMIP/CMIP6_CVs)
CMIP6
climate - Rights
- Creative Commons Attribution 4.0 International License (CC BY 4.0)
- License
- CMIP6 model data is evolving, new versions are added when datasets are changed or additions are made. Cite this data collection according to the Data Citation Guidelines (http://bit.ly/2gBCuqM) and be sure to include the version number (e.g. v20210101). 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. - Here is the history of licenses governing these datasets: 2019-05-28: initially published under CC BY-SA 4.0; 2022-09-27: relaxed to CC BY 4.0
- Contacts
- Volodin, Evgeny volodinev@nullgmail.com
- Funders
- Institute of Numerical Mathematics (INM)
- Cite as
- Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana (2019). INM INM-CM4-8 model output prepared for CMIP6 CMIP. Version YYYYMMDD[1].Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.1422
BibTeX RIS
Data Access
http://esgf-node.llnl.gov/search/cmip6/?mip_era=CMIP6&activity_id=CMIP&institution_id=INM&source_id=INM-CM4-8
Related Data
INM INM-CM4-8 model output prepared for CMIP6 CMIP 1pctCO2
Metadata Export
| # | Name | PID | Affiliation |
|---|---|---|---|
| 1 | Volodin, Evgeny | - | Institute of Numerical Mathematics |
| 2 | Mortikov, Evgeny | - | Moscow State University |
| 3 | Gritsun, Andrey | - | Institute of Numerical Mathematics |
| 4 | Lykossov, Vasily | - | Moscow State University |
| 5 | Galin, Vener | - | Institute of Numerical Mathematics |
| 6 | Diansky, Nikolay | - | Moscow State University |
| 7 | Gusev, Anatoly | - | Institute of Numerical Mathematics |
| 8 | Kostrykin, Sergey | - | Institute of Numerical Mathematics |
| 9 | Iakovlev, Nikolay | - | Institute of Numerical Mathematics |
| 10 | Shestakova, Anna | - | Moscow State University |
| 11 | Emelina, Svetlana | - | Hydrometcenter of Russia |
| # | Name | PID | Affiliation |
|---|---|---|---|
| 1 | Institute of Numerical Mathematics (INM) | - | - |
References Simulation of the modern climate using the INM-CM48 climate model. Volodin E., Mortikov E., Kostrykin S., Galin V., Lykossov V., Gritsun A., Diansky N., Gusev A., Iakovlev N., Shestakova A., Emelina S.. DOI:10.1515/rnam-2018-0032
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IsCitedBy 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.)]. 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.. DOI:10.1017/9781009157896.021
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IsCitedBy Global predictions of primary soil salinization under changing climate in the 21st century. Hassani, Amirhossein; Azapagic, Adisa; Shokri, Nima. DOI:10.1038/s41467-021-26907-3
IsReferencedBy Northern Hemisphere drought risk in a warming climate. Balting, Daniel F.; AghaKouchak, Amir; Lohmann, Gerrit; Ionita, Monica. DOI:10.1038/s41612-021-00218-2
IsReferencedBy Evaluation of Historical Simulations of CMIP6 Models for Temperature and Precipitation in Guatemala. Rivera, Paris. DOI:10.1007/s41748-022-00333-x
IsCitedBy Differential expansion speeds of Indo-Pacific warm pool and deep convection favoring pool under greenhouse warming. Leung, Jeremy Cheuk-Hin; Zhang, Banglin; Gan, Qiuying; Wang, Lei; Qian, Weihong; Hu, Zeng-Zhen. DOI:10.1038/s41612-022-00315-w
IsCitedBy 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.)]. 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.. DOI:10.1017/9781009157896.010
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IsReferencedBy Detecting Extreme Temperature Events Using Gaussian Mixture Models. Paçal, Aytaç; Hassler, Birgit; Weigel, Katja; Kurnaz, M. Levent; Wehner, Michael F.; Eyring, Veronika. DOI:10.1029/2023jd038906
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