BCC BCC-CSM2MR model output prepared for CMIP6 CMIP piControl

Wu, Tongwen; Chu, Min; Dong, Min; Fang, Yongjie; Jie, Weihua; Li, Jianglong; Li, Weiping; Liu, Qianxia; Shi, Xueli; Xin, Xiaoge; Yan, Jinghui; Zhang, Fang; Zhang, Jie; Zhang, Li; Zhang, Yanwu

BCC BCC-CSM2-MR CMIP CMIP6 piControl

Summary: These data include all datasets published for 'CMIP6.CMIP.BCC.BCC-CSM2-MR.piControl' 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 BCC-CSM 2 MR climate model, released in 2017, includes the following components: atmos: BCC_AGCM3_MR (T106; 320 x 160 longitude/latitude; 46 levels; top level 1.46 hPa), land: BCC_AVIM2, ocean: MOM4 (1/3 deg 10S-10N, 1/3-1 deg 10-30 N/S, and 1 deg in high latitudes; 360 x 232 longitude/latitude; 40 levels; top grid cell 0-10 m), seaIce: SIS2. The model was run by the Beijing Climate Center, Beijing 100081, China (BCC) in native nominal resolutions: atmos: 100 km, land: 100 km, ocean: 50 km, seaIce: 50 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: Tongwen Wu (
twwu@nullcma.gov.cn
)
Location(s): global
Spatial Coverage: Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage: 1850-01-16 to 2449-12-16 (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: 1.46 TiB (1608491492420 Byte)
Format: NetCDF
Status: completely archived
Creation Date: 2018-10-09
Future Review Date: 2033-04-06

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Cite as: Wu, Tongwen; Chu, Min; Dong, Min; Fang, Yongjie; Jie, Weihua; Li, Jianglong; Li, Weiping; Liu, Qianxia; Shi, Xueli; Xin, Xiaoge; Yan, Jinghui; Zhang, Fang; Zhang, Jie; Zhang, Li; Zhang, Yanwu (2023). BCC BCC-CSM2MR model output prepared for CMIP6 CMIP piControl. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=C6_4101197

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Consistency report

as consistent as the model(s) BCC-CSM2-MR

Description: as consistent as the model(s) BCC-CSM2-MR

Technical Quality Assurance (TQA)

TQA - Technical Quality Assurance "approved by WDCC"

Description: All TQA checks were passed for WCRP CMIP6 CMIP BCC BCC-CSM2-MR piControl.
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: 2025-03-18

Contact type	Person	ORCID	Organization
Contact	Tongwen Wu	-	Beijing Climate Center
Author	Tongwen Wu	-	Beijing Climate Center
Author	Min Chu	-	Beijing Climate Center
Author	Min Dong	-	Beijing Climate Center
Author	Yongjie Fang	-	Beijing Climate Center
Author	Weihua Jie	-	Beijing Climate Center
Author	Jianglong Li	-	Beijing Climate Center
Author	Prof. Weiping Li	-	Beijing Climate Center
Author	Qianxia Liu	-	Beijing Climate Center
Author	Prof. Xueli Shi	-	Beijing Climate Center
Author	Prof. Xiaoge Xin	-	Beijing Climate Center
Author	Jinghui Yan	-	Beijing Climate Center
Author	Fang Zhang	-	Beijing Climate Center
Author	Jie Zhang	-	Beijing Climate Center
Author	Prof. Li Zhang	-	Beijing Climate Center
Author	Yanwu Zhang	-	Beijing Climate Center

Is part of

[1] DOI Wu, Tongwen; Chu, Min; Dong, Min; Fang, Yongjie; Jie, Weihua; Li, Jianglong; Li, Weiping; Liu, Qianxia; Shi, Xueli; Xin, Xiaoge; Yan, Jinghui; Zhang, Fang; Zhang, Jie; Zhang, Li; Zhang, Yanwu. (2018). BCC BCC-CSM2MR model output prepared for CMIP6 CMIP piControl. doi:10.22033/ESGF/CMIP6.3016

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 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

[3] DOI Irving, Damien; Hobbs, Will; Church, John; Zika, Jan. (2020). A Mass and Energy Conservation Analysis of Drift in the CMIP6 Ensemble. doi:10.1175/jcli-d-20-0281.1

[4] DOI Vrac, Mathieu; Thao, Soulivanh; Yiou, Pascal. (2022). Should multivariate bias corrections of climate simulations account for changes of rank correlation over time?. doi:10.1002/essoar.10510318.1

[5] DOI Vrac, Mathieu; Thao, Soulivanh; Yiou, Pascal. (2022). Changes in temperature–precipitation correlations over Europe: are climate models reliable?. doi:10.1007/s00382-022-06436-5

[6] DOI Yiou, Pascal; Faranda, Davide; Thao, Soulivanh; Vrac, Mathieu. (2021). Projected Changes in the Atmospheric Dynamics of Climate Extremes in France. doi:10.3390/atmos12111440

[7] DOI Liu, Meng; Yang, Linqing. (2022). Northward expansion of fire-adaptative vegetation in future warming. doi:10.1088/1748-9326/ac417d

[8] DOI Rogers, Matthew H.; Furtado, Jason; Anderson, Bruce. (2021). The Pacific Decadal Precession and its Relationship to Tropical Pacific Decadal Variability in CMIP6 Models. doi:10.21203/rs.3.rs-390152/v1

[9] DOI Ghajarnia, Navid; Kalantari, Zahra; Destouni, Georgia. (2021). Data‐Driven Worldwide Quantification of Large‐Scale Hydroclimatic Covariation Patterns and Comparison With Reanalysis and Earth System Modeling. doi:10.1029/2020wr029377

[10] DOI Correa, Wesley de Souza Campos; Soares, Wagner Rodrigues; Aylas, Georgynio Yossimar Rosales; Reis Junior, Neyval Costa; Marengo, José Antonio; Chou, Sin Chan; Nobre, Carlos. (2023). Avaliação das simulações de temperatura e precipitação de um subconjunto de modelos do CMIP6 para o Brasil. doi:10.14295/derb.v43.774

[11] DOI Niazkar, Majid; Goodarzi, Mohammad Reza; Fatehifar, Atiyeh; Abedi, Mohammad Javad. (2022). Machine learning-based downscaling: application of multi-gene genetic programming for downscaling daily temperature at Dogonbadan, Iran, under CMIP6 scenarios. doi:10.1007/s00704-022-04274-3

[12] DOI Vrac, M.; Thao, S.; Yiou, P. (2022). Should Multivariate Bias Corrections of Climate Simulations Account for Changes of Rank Correlation Over Time?. doi:10.1029/2022jd036562

Is related to

[1] DOI Rogers, Matthew H.; Furtado, Jason C.; Anderson, Bruce T. (2022). The pacific decadal precession and its relationship to tropical pacific decadal variability in CMIP6 models. doi:10.1007/s00382-021-06114-y

[2] DOI Irving, Damien. (2021). A Mass and Energy Conservation Analysis of Drift in the CMIP6 Ensemble. doi:10.22541/au.161618917.70147304/v1

[3] DOI Raji, Pushpalatha; Shiny, Rajan; Byju, Gangadharan. (2021). Impact of climate change on the potential geographical suitability of cassava and sweet potato vs. rice and potato in India. doi:10.1007/s00704-021-03763-1

Is cited by

[1] 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

[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 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

[4] 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

[5] 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 BCC BCC-CSM2-MR

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Attached Datasets ( 142 )

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Parent project(s)

WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets

WCRP CMIP6 CMIP BCC BCC-CSM2-MR piControl

hdl:21.14106/37f321f25e749eb5c7f20f9bda9e3020804d3cd3

Wu, Tongwen et al.