INM INM-CM4-8 model output prepared for CMIP6 CMIP

Volodin, Evgeny; Mortikov, Evgeny; Gritsun, Andrey; Lykossov, Vasily; Galin, Vener; Diansky, Nikolay; Gusev, Anatoly; Kostrykin, Sergey; Iakovlev, Nikolay; Shestakova, Anna; Emelina, Svetlana

WCRP CMIP6 CMIP INM INM-CM4-8

hdl:21.14106/7c23e83ce8071b5c0079a65af16b51d81b27a2a9

Volodin, Evgeny et al.

Experiment

CMIP CMIP6 INM INM-CM4-8 model-output

Summary: 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.

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: 1850-01-01 to 2380-12-31 (gregorian)
Use constraints: Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
Data Catalog: World Data Center for Climate
Size: 3.76 TiB (4129730054140 Byte)
Format: NetCDF
Status: completely archived
Creation Date: 2019-05-30
Review Date: 2026-10-21

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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 CMIP. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=C6_4405689

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Funding: Institute of Numerical Mathematics

Consistency report

as consistent as the model(s) INM-CM4-8

Description: as consistent as the model(s) INM-CM4-8

Technical Quality Assurance (TQA)

TQA - Technical Quality Assurance 'approved by WDCC'

Description: All TQA checks were passed for WCRP CMIP6 CMIP INM INM-CM4-8.
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: https://redmine.dkrz.de/projects/cmip6-lta-and-data-citation/wiki/Quality_Checks
Result Date: 2024-06-25

Contact type	Person	ORCID	Organization
Contact	Evgeny Volodin	-	Institute of Numerical Mathematics
Author	Evgeny Volodin	-	Institute of Numerical Mathematics
Author	Evgeny Mortikov	-	Moscow State University
Author	Andrey Gritsun	-	Institute of Numerical Mathematics
Author	Vasily Lykossov	-	Moscow State University
Author	Vener Galin	-	Institute of Numerical Mathematics
Author	Nikolay Diansky	-	Moscow State University
Author	Anatoly Gusev	-	Institute of Numerical Mathematics
Author	Sergey Kostrykin	-	Institute of Numerical Mathematics
Author	Nikolay Iakovlev	-	Institute of Numerical Mathematics
Author	Anna Shestakova	-	Moscow State University
Author	Svetlana Emelina	-	Hydrometcenter of Russia
Funder	-	-	Institute of Numerical Mathematics

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 CMIP. doi:10.22033/ESGF/CMIP6.1422

Is referenced by

[1] 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

[2] 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

[3] 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

[4] DOI Rivera, Paris. (2022). Evaluation of Historical Simulations of CMIP6 Models for Temperature and Precipitation in Guatemala. doi:10.1007/s41748-022-00333-x

[5] 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

[6] 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

[7] 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

[8] 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

[9] 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&lt;sub&gt;2&lt;/sub&gt; experiment. doi:10.5194/angeo-2019-106

[10] 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

[11] 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

[12] 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

[13] 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

[14] 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

[15] 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

[16] 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

[17] 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

[18] 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

[19] 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

[20] 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

[21] 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

[22] 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

[23] 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

Is related to

[1] 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

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 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

[9] 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

[10] 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

[11] 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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[14] 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

[15] DOI Jönsson, Aiden. (2022). Reply on RC1. doi:10.5194/egusphere-2022-811-ac1

[16] DOI Jönsson, Aiden. (2022). Reply on RC2. doi:10.5194/egusphere-2022-811-ac2

[17] 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

[18] 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

Attached Dataset Groups ( 5 )

Parent project(s)

WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets

[Entry acronym: C6_4405689] [Entry id: 4405689]