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

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

WCRP CMIP6 ScenarioMIP INM INM-CM4-8

Volodin, Evgeny et al.

Experiment

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CMIP6 INM INM-CM4-8 model-output ScenarioMIP

Summary: These data include all datasets published for 'CMIP6.ScenarioMIP.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: 2015-01-01 to 2100-12-31 (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
Format: NetCDF
Status: metadata only
Creation Date: 2019-06-03
Future Review Date: 2033-04-17

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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 ScenarioMIP. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=C6_4411131

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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

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 ScenarioMIP. doi:10.22033/ESGF/CMIP6.12321

Is referenced by

[1] DOI McKenna, Christine M.; Maycock, Amanda C.; Forster, Piers M.; Smith, Christopher J.; Tokarska, Katarzyna B. (2020). Stringent mitigation substantially reduces risk of unprecedented near-term warming rates. doi:10.1038/s41558-020-00957-9

[2] 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

[3] DOI Jung, Christopher; Schindler, Dirk. (2022). Development of onshore wind turbine fleet counteracts climate change-induced reduction in global capacity factor. doi:10.1038/s41560-022-01056-z

[4] DOI Anderegg, William R. L.; Wu, Chao; Acil, Nezha; Carvalhais, Nuno; Pugh, Thomas A. M.; Sadler, Jon P.; Seidl, Rupert. (2022). A climate risk analysis of Earth’s forests in the 21st century. doi:10.1126/science.abp9723

[5] DOI Sung, Jang Hyun; Seo, Seung Beom; Ryu, Young. (2022). Deep Learning-Based Projection of Occurrence Frequency of Forest Fires under SSP Scenario: Exploring the Link between Drought Characteristics and Forest Fires. doi:10.3390/su14095494

Attached Dataset Groups ( 4 )

Parent project(s)

WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets

[Entry acronym: C6_4411131] [Entry id: 4411131]