WCRP CMIP6 CMIP BCC BCC-CSM2-MR

Xin, Xiaoge et al.

Experiment
Summary
These data include all datasets published for 'CMIP6.CMIP.BCC.BCC-CSM2-MR' 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
Prof. Xiaoge Xin (
 xinxg@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
12.55 TiB (13802680558280 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2033-04-06
Cite as
Xin, Xiaoge; Zhang, Jie; Zhang, Fang; Wu, Tongwen; Shi, Xueli; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang; Wei, Min (2023). BCC BCC-CSM2MR model output prepared for CMIP6 CMIP. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=C6_4101192

BibTeX RIS
Description
as consistent as the model(s) BCC-CSM2-MR
Description
All TQA checks were passed for WCRP CMIP6 CMIP BCC BCC-CSM2-MR.
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
Result Date
2025-03-18
Contact typePersonORCIDOrganization
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Cites

[1] DOI Wu, T., Lu, Y., Fang, Y., Xin, X., Li, L., Li, W., Jie, W., Zhang, J., Liu, Y., Zhang, L., Zhang, F., Zhang, Y., Wu, F., Li, J., Chu, M., Wang, Z., Shi, X., Liu, X., Wei, M., Huang, A., Zhang, Y., and Liu, X. (2019). The Beijing Climate Center Climate System Model (BCC-CSM): the main progress from CMIP5 to CMIP6. doi:10.5194/gmd-12-1573-2019

Is part of

[1] DOI Xin, Xiaoge; Zhang, Jie; Zhang, Fang; Wu, Tongwen; Shi, Xueli; Li, Jianglong; Chu, Min; Liu, Qianxia; Yan, Jinghui; Ma, Qiang; Wei, Min. (2018). BCC BCC-CSM2MR model output prepared for CMIP6 CMIP. doi:10.22033/ESGF/CMIP6.1725

Is referenced by

[1] DOI Burke, Eleanor J.; Zhang, Yu; Krinner, Gerhard. (2020). Evaluating permafrost physics in the Coupled Model Intercomparison Project 6 (CMIP6) models and their sensitivity to climate change. doi:10.5194/tc-14-3155-2020
[2] DOI Ayugi, Brian; Zhihong, Jiang; Zhu, Huanhuan; Ngoma, Hamida; Babaousmail, Hassen; Rizwan, Karim; Dike, Victor. (2021). Comparison of CMIP6 and CMIP5 models in simulating mean and extreme precipitation over East Africa. doi:10.1002/joc.7207
[3] DOI Smith, Abigail; Jahn, Alexandra; Wang, Muyin. (2020). Seasonal transition dates can reveal biases in Arctic sea ice simulations. doi:10.5194/tc-2020-81
[4] DOI Smith, Abigail; Jahn, Alexandra; Wang, Muyin. (2020). Seasonal transition dates can reveal biases in Arctic sea ice simulations. doi:10.5194/tc-14-2977-2020
[5] DOI Liu, Jingchen; Guan, Xiaodan; Gao, Zhaokui; Huang, Xiaoqian; Ma, Jieru; He, Yongli; Xie, Tiejun. (2021). Inter-decadal variability of the heat source over the Tibetan Plateau. doi:10.1007/s00382-021-05929-z
[6] DOI Lalande, Mickaël; Ménégoz, Martin; Krinner, Gerhard; Naegeli, Kathrin; Wunderle, Stefan. (2021). Climate change in the High Mountain Asia in CMIP6. doi:10.5194/esd-2021-43
[7] DOI Carlson, Kimberly M.; Mora, Camilo; Xu, Jinwen; Setter, Renee O.; Harangody, Michelle; Franklin, Erik C.; Kantar, Michael B.; Lucas, Matthew; Menzo, Zachary M.; Spirandelli, Daniele; Schanzenbach, David; Courtlandt Warr, C.; Wong, Amanda E.; Businger, Steven. (2022). Global rainbow distribution under current and future climates. doi:10.1016/j.gloenvcha.2022.102604
[8] DOI Rivera, Paris. (2022). Evaluation of Historical Simulations of CMIP6 Models for Temperature and Precipitation in Guatemala. doi:10.1007/s41748-022-00333-x
[9] DOI Yu, Jingwen; Li, Qingquan; Ding, Yihui; Wen, Zhiping; Gong, Zhiqiang; Sun, Xiaoting; Shen, Xinyong; Dong, Lili. (2024). AMO modulation of interdecadal background of persistent heavy rainfall in summer over the Huaihe River Basin. doi:10.1007/s00382-023-07088-9
[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 Ngoma, Hamida; Wen, Wang; Ayugi, Brian; Babaousmail, Hassen; Karim, Riwzan; Ongoma, Victor. (2021). Evaluation of the Global Climate Models in CMIP6 over Uganda. doi:10.20944/preprints202012.0782.v1
[12] 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
[13] DOI Linke, Olivia; Quaas, Johannes; Baumer, Finja; Becker, Sebastian; Chylik, Jan; Dahlke, Sandro; Ehrlich, André; Handorf, Dörthe; Jacobi, Christoph; Kalesse-Los, Heike; Lelli, Luca; Mehrdad, Sina; Neggers, Roel A. J.; Riebold, Johannes; Saavedra Garfias, Pablo; Schnierstein, Niklas; Shupe, Matthew D.; Smith, Chris; Spreen, Gunnar; Verneuil, Baptiste; Vinjamuri, Kameswara S.; Vountas, Marco; Wendisch, Manfred. (2023). Constraints on simulated past Arctic amplification and lapse rate feedback from observations. doi:10.5194/acp-23-9963-2023
[14] DOI Duffy, Margaret L; O'Gorman, Paul A. (2022). Intermodel spread in Walker circulation responses linked to spread in moist stability and radiation responses. doi:10.22541/essoar.167078790.00035564/v1
[15] DOI Ngoma, Hamida; Wen, Wang; Ayugi, Brian; Babaousmail, Hassen; Karim, Rizwan; Ongoma, Victor. (2021). Evaluation of precipitation simulations in CMIP6 models over Uganda. doi:10.1002/joc.7098
[16] DOI Mohan, Soumya; Ruchith, R. D. (2023). On the simulations of latent heat flux over the Indian Ocean in CMIP6 models. doi:10.1007/s00382-023-06871-y
[17] 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
[18] DOI Lalande, Mickaël; Ménégoz, Martin; Krinner, Gerhard; Naegeli, Kathrin; Wunderle, Stefan. (2021). Climate change in the High Mountain Asia in CMIP6. doi:10.5194/esd-12-1061-2021
[19] 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
[20] DOI Sellevold, Raymond; Vizcaino, Miren. (2021). First Application of Artificial Neural Networks to Estimate 21st Century Greenland Ice Sheet Surface Melt. doi:10.1029/2021gl092449
[21] 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
[22] 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
[23] DOI Lalande, Mickaël. (2021). Reply on RC1. doi:10.5194/esd-2021-43-ac1
[24] DOI Lalande, Mickaël. (2021). Reply on RC2. doi:10.5194/esd-2021-43-ac2
[25] 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
[26] DOI Denissen, Jasper. (2024). Reply on RC1. doi:10.5194/egusphere-2023-1925-ac1
[27] DOI Shafeeque, Muhammad; Bibi, Amna. (2023). Assessing the impact of future climate scenarios on crop water requirements and agricultural water supply across different climatic zones of Pakistan. doi:10.3389/feart.2023.1283171
[28] DOI Linke, Olivia; Quaas, Johannes; Baumer, Finja; Becker, Sebastian; Chylik, Jan; Dahlke, Sandro; Ehrlich, André; Handorf, Dörthe; Jacobi, Christoph; Kalesse-Los, Heike; Lelli, Luca; Mehrdad, Sina; Neggers, Roel A. J.; Riebold, Johannes; Saavedra Garfias, Pablo; Schnierstein, Niklas; Shupe, Matthew D.; Smith, Chris; Spreen, Gunnar; Verneuil, Baptiste; Vinjamuri, Kameswara S.; Vountas, Marco; Wendisch, Manfred. (2023). Constraints on simulated past Arctic amplification and lapse-rate feedback from observations. doi:10.5194/acp-2022-836
[29] DOI Denissen, Jasper M. C.; Teuling, Adriaan J.; Koirala, Sujan; Reichstein, Markus; Balsamo, Gianpaolo; Vogel, Martha M.; Yu, Xin; Orth, René. (2024). Intensified future heat extremes linked with increasing ecosystem water limitation. doi:10.5194/esd-15-717-2024
[30] 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

Is related to

[1] DOI AYUGI, Brian; Zhidong, Jiang; Zhu, Huanhuan; Ngoma, Hamida; Babaousmail, Hassen; Rizwan, Karim; Dike, Victor. (2021). Comparison of CMIP6 and CMIP5 Models in Simulating Mean and Extreme Precipitation over East Africa. doi:10.20944/preprints202102.0111.v1
[2] DOI Wu, Tongwen; Lu, Yixiong; Fang, Yongjie; Xin, Xiaoge; Li, Laurent; Li, Weiping; Jie, Weihua; Zhang, Jie; Liu, Yiming; Zhang, Li; Zhang, Fang; Zhang, Yanwu; Wu, Fanghua; Li, Jianglong; Chu, Min; Wang, Zaizhi; Shi, Xueli; Liu, Xiangwen; Wei, Min; Huang, Anning; Zhang, Yaocun; Liu, Xiaohong. (2018). The Beijing Climate Center Climate System Model (BCC-CSM): Main Progress from CMIP5 to CMIP6. doi:10.5194/gmd-2018-254
[3] DOI Kundu, Shantanu; Mukherjee, Tanoy; Kamalakannan, Manokaran; Barhadiya, Gaurav; Ghosh, Chirashree; Kim, Hyun-Woo. (2023). Matrilineal phylogeny and habitat suitability of the endangered spotted pond turtle (<i>Geoclemys hamiltonii</i>; Testudines: Geoemydidae): a two-dimensional approach to forecasting future conservation consequences. doi:10.7717/peerj.15975
[4] DOI Duffy, Margaret L.; O’Gorman, Paul A. (2022). Intermodel Spread in Walker Circulation Responses Linked to Spread in Moist Stability and Radiation Responses. doi:10.1029/2022jd037382
[5] DOI Olusegun, Christiana; Ojo, Olusola; Olusola, Adeyemi; Ogunjo, Samuel. (2023). Solar radiation variability across Nigeria’s climatic zones: a validation and projection study with CORDEX, CMIP5, and CMIP6 models. doi:10.1007/s40808-023-01848-6
[6] 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 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 Canadell, J.G.; Monteiro, P.M.S; Costa, M.H.; Cotrim da Cunha, L.; Cox, P.M.; Eliseev, A.V.; Henson, S.; Ishii, M.; Jaccard, S.; Koven, C.; Lohila, A.; Patra, P.K.; Piao, S.; Rogelj, J.; Syampungani, S.; Zaehle, S.; Zickfeld, K. (2023). Global Carbon and other Biogeochemical Cycles and Feedbacks. 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:10.1017/9781009157896.007
[9] 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

Attached Dataset Groups ( 7 )

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[Entry acronym: C6_4101192] [Entry id: 4101192]