WCRP CMIP6 PMIP INM INM-CM4-8

Volodin, Evgeny et al.

Experiment
Summary
These data include all datasets published for 'CMIP6.PMIP.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.

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
Evgeny Volodin (
 volodinev@nullgmail.com
)
Location(s)
global
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage
1880-01-01 to 2099-12-16 (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
415.70 GiB (446351943125 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2033-04-17
Cite as
Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana (2023). INM INM-CM4-8 model output prepared for CMIP6 PMIP. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=C6_4410634

BibTeX RIS
Funding
Institute of Numerical Mathematics
Description
as consistent as the model(s) INM-CM4-8
Contact typePersonORCIDOrganization
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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 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
[3] 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
[4] DOI von der Gathen, Peter; Kivi, Rigel; Wohltmann, Ingo; Salawitch, Ross J.; Rex, Markus. (2021). Climate change favours large seasonal loss of Arctic ozone. doi:10.1038/s41467-021-24089-6
[5] DOI Studholme, Joshua; Fedorov, Alexey V.; Gulev, Sergey K.; Emanuel, Kerry; Hodges, Kevin. (2021). Poleward expansion of tropical cyclone latitudes in warming climates. doi:10.1038/s41561-021-00859-1
[6] DOI Balting, Daniel F.; AghaKouchak, Amir; Lohmann, Gerrit; Ionita, Monica. (2021). Northern Hemisphere drought risk in a warming climate. doi:10.1038/s41612-021-00218-2
[7] DOI Leung, Jeremy Cheuk-Hin; Zhang, Banglin; Gan, Qiuying; Wang, Lei; Qian, Weihong; Hu, Zeng-Zhen. (2022). Differential expansion speeds of Indo-Pacific warm pool and deep convection favoring pool under greenhouse warming. doi:10.1038/s41612-022-00315-w
[8] DOI Jönsson, Aiden R.; Bender, Frida A.-M. (2022). The response of hemispheric differences in Earth’s albedo to CO<sub>2</sub> forcing in coupled models and its implications for shortwave radiative feedback strength. doi:10.5194/egusphere-2022-811
[9] DOI Jönsson, Aiden R.; Bender, Frida A.-M. (2023). The implications of maintaining Earth's hemispheric albedo symmetry for shortwave radiative feedbacks. doi:10.5194/esd-14-345-2023
[10] DOI Jönsson, Aiden. (2022). Reply on RC1. doi:10.5194/egusphere-2022-811-ac1
[11] DOI Jönsson, Aiden. (2022). Reply on RC2. doi:10.5194/egusphere-2022-811-ac2
[12] 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
[13] DOI Cao, Ruyin; Ling, Xiaofang; Liu, Licong; Wang, Weiyi; Li, Luchun; Shen, Miaogen. (2023). Remotely Sensed Vegetation Green-Up Onset Date on the Tibetan Plateau: Simulations and Future Predictions. doi:10.1109/jstars.2023.3310617

Is part of

[1] DOI 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 PMIP. doi:10.22033/ESGF/CMIP6.2295

Is referenced by

[1] DOI Hamed, Mohammed Magdy; Nashwan, Mohamed Salem; Shahid, Shamsuddin; Ismail, Tarmizi bin; Dewan, Ashraf; Asaduzzaman, Md. (2022). Thermal bioclimatic indicators over Southeast Asia: present status and future projection using CMIP6. doi:10.1007/s11356-022-22036-6
[2] DOI Hassani, Amirhossein; Azapagic, Adisa; Shokri, Nima. (2021). Global predictions of primary soil salinization under changing climate in the 21st century. doi:10.1038/s41467-021-26907-3
[3] DOI Rivera, Paris. (2022). Evaluation of Historical Simulations of CMIP6 Models for Temperature and Precipitation in Guatemala. doi:10.1007/s41748-022-00333-x
[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 Çetin, I. I.; Yücel, I.; Yılmaz, M. T.; Önol, B. (2024). Historical variability of Coupled Model Intercomparison Project Version 6 (CMIP6)-driven surface winds and global reanalysis data for the Eastern Mediterranean. doi:10.1007/s00704-024-04869-y
[6] DOI Ferrero, Bruno; Tonelli, Marcos; Marcello, Fernanda; Wainer, Ilana. (2021). Long-term Regional Dynamic Sea Level Changes from CMIP6 Projections. doi:10.1007/s00376-020-0178-4
[7] 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
[8] DOI Casagrande, Fernanda; Buss de Souza, Ronald; Nobre, Paulo; Lanfer Marquez, Andre. (2019). Inter-hemispheric seasonal comparison of Polar Amplification using radiative forcing of quadrupling CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; experiment. doi:10.5194/angeo-2019-106
[9] DOI Boisvert, Linette N.; Boeke, Robyn C.; Taylor, Patrick C.; Parker, Chelsea L. (2022). Constraining Arctic Climate Projections of Wintertime Warming With Surface Turbulent Flux Observations and Representation of Surface-Atmosphere Coupling. doi:10.3389/feart.2022.765304
[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 Vogel, Annika; Alessa, Ghazi; Scheele, Robert; Weber, Lisa; Dubovik, Oleg; North, Peter; Fiedler, Stephanie. (2022). Uncertainty in Aerosol Optical Depth From Modern Aerosol‐Climate Models, Reanalyses, and Satellite Products. doi:10.1029/2021jd035483
[12] DOI Paçal, Aytaç; Hassler, Birgit; Weigel, Katja; Kurnaz, M. Levent; Wehner, Michael F.; Eyring, Veronika. (2023). Detecting Extreme Temperature Events Using Gaussian Mixture Models. doi:10.1029/2023jd038906
[13] DOI Gooya, Parsa; Swart, Neil C.; Hamme, Roberta C. (2022). Supplementary material to "Time varying changes and uncertainties in the CMIP6 ocean carbon sink from global to regional to local scale". doi:10.5194/esd-2022-19-supplement
[14] 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
[15] DOI Hsu, Hsin; Dirmeyer, Paul A. (2023). Uncertainty in projected critical soil moisture values in CMIP6 affects the interpretation of a more moisture-limited world. doi:10.22541/essoar.167810145.51830543/v1
[16] 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
[17] 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
[18] DOI Li, Juan; Zhao, Yuexuan; Wang, Menglu; Tan, Wei; Yin, Jiyuan. (2024). Projected Changes of Wind Energy Input to Surface Waves in the North Indian Ocean Based on CMIP6. doi:10.3390/atmos15010139
[19] DOI Hsu, Hsin; Dirmeyer, Paul A. (2023). Uncertainty in Projected Critical Soil Moisture Values in CMIP6 Affects the Interpretation of a More Moisture‐Limited World. doi:10.1029/2023ef003511
[20] DOI Casagrande, Fernanda; Buss de Souza, Ronald; Nobre, Paulo; Lanfer Marquez, Andre. (2020). An inter-hemispheric seasonal comparison of polar amplification using radiative forcing of a quadrupling CO2 experiment. doi:10.5194/angeo-38-1123-2020
[21] DOI Pearce, Elena A.; Mazier, Florence; Normand, Signe; Fyfe, Ralph; Andrieu, Valérie; Bakels, Corrie; Balwierz, Zofia; Bińka, Krzysztof; Boreham, Steve; Borisova, Olga K.; Brostrom, Anna; de Beaulieu, Jacques-Louis; Gao, Cunhai; González-Sampériz, Penélope; Granoszewski, Wojciech; Hrynowiecka, Anna; Kołaczek, Piotr; Kuneš, Petr; Magri, Donatella; Malkiewicz, Małgorzata; Mighall, Tim; Milner, Alice M.; Möller, Per; Nita, Małgorzata; Noryśkiewicz, Bożena; Pidek, Irena Agnieszka; Reille, Maurice; Robertsson, Ann-Marie; Salonen, J. Sakari; Schläfli, Patrick; Schokker, Jeroen; Scussolini, Paolo; Šeirienė, Vaida; Strahl, Jaqueline; Urban, Brigitte; Winter, Hanna; Svenning, Jens-Christian. (2023). Substantial light woodland and open vegetation characterized the temperate forest biome before <i>Homo sapiens</i>. doi:10.1126/sciadv.adi9135
[22] DOI PAÇAL, Aytaç; Hassler, Birgit; Weigel, Katja; Kurnaz, Mehmet Levent; Wehner, Michael F; Eyring, Veronika. (2023). Detecting Extreme Temperature Events Using Gaussian Mixture Models. doi:10.22541/essoar.168275876.64237989/v1

References

[1] DOI Volodin E., Mortikov E., Kostrykin S., Galin V., Lykossov V., Gritsun A., Diansky N., Gusev A., Iakovlev N., Shestakova A., Emelina S. (2018). Simulation of the modern climate using the INM-CM48 climate model. doi:10.1515/rnam-2018-0032

Attached Dataset Groups ( 3 )

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[Entry acronym: C6_4410634] [Entry id: 4410634]