FIO-QLNM FIO-ESM2.0 model output prepared for CMIP6 GMMIP

Song, Zhenya; Qiao, Fangli; Bao, Ying; Shu, Qi; Song, Yajuan; Yang, Xiaodan

WCRP CMIP6 GMMIP FIO-QLNM FIO-ESM-2-0

hdl:21.14106/d82e5d5412b72e39a6a176c89dfecb6cd573e3d7

Song, Zhenya et al.

Experiment

CMIP6 FIO-ESM-2-0 FIO-QLNM GMMIP model-output

Summary: These data include all datasets published for 'CMIP6.GMMIP.FIO-QLNM.FIO-ESM-2-0' 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 FIO-ESM 2.0 climate model, released in 2018, includes the following components: aerosol: Prescribed monthly fields, atmos: CAM4 (0.9x1.25 finite volume grid; 192 x 288 longitude/latitude; 26 levels; top level ~2 hPa), land: CLM4.0 (same grid at atmos), ocean: POP2-W (POP2 coupled with MASNUM surface wave model, Displaced Pole; 320 x 384 longitude/latitude; 60 levels; top grid cell 0-10 m), seaIce: CICE4.0 (same grid as ocean). The model was run by the FIO (First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China), QNLM (Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China) (FIO-QLNM) 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: Dr. Zhenya Song (
songroy@nullfio.org.cn
)
Prof. Fangli Qiao (
qiaofl@nullfio.org.cn
)
Dr. Ying Bao (
baoying@nullfio.org.cn
)
Qi Shu (
shuqi@nullfio.org.cn
)
Yajuan Song (
songyj@nullfio.org.cn
)
Xiaodan Yang (
yangxiaodan@nullfio.org.cn
)
Location(s): global
Spatial Coverage: Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage: 1870-01-16 to 2014-12-16 (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: 537.88 GiB (577548002592 Byte)
Format: NetCDF
Status: completely archived
Creation Date: 2019-12-24
Future Review Date: 2033-04-17

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Cite as: Song, Zhenya; Qiao, Fangli; Bao, Ying; Shu, Qi; Song, Yajuan; Yang, Xiaodan (2023). FIO-QLNM FIO-ESM2.0 model output prepared for CMIP6 GMMIP. World Data Center for Climate (WDCC) at DKRZ. https://www.wdc-climate.de/ui/entry?acronym=C6_4414765

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Consistency report

as consistent as the model(s) FIO-ESM-2-0

Description: as consistent as the model(s) FIO-ESM-2-0

Contact type	Person	ORCID	Organization
Contact	Dr. Zhenya Song	-	The First Institution of Oceanography
Contact	Prof. Fangli Qiao	-	The First Institution of Oceanography
Contact	Dr. Ying Bao	-	The First Institution of Oceanography
Contact	Qi Shu	-	The First Institution of Oceanography
Contact	Yajuan Song	-	The First Institution of Oceanography
Contact	Xiaodan Yang	-	The First Institution of Oceanography
Author	Dr. Zhenya Song	-	The First Institution of Oceanography
Author	Prof. Fangli Qiao	-	The First Institution of Oceanography
Author	Dr. Ying Bao	-	The First Institution of Oceanography
Author	Qi Shu	-	The First Institution of Oceanography
Author	Yajuan Song	-	The First Institution of Oceanography
Author	Xiaodan Yang	-	The First Institution of Oceanography

Is related to

[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 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

Is part of

[1] DOI Song, Zhenya; Qiao, Fangli; Bao, Ying; Shu, Qi; Song, Yajuan; Yang, Xiaodan. (2019). FIO-QLNM FIO-ESM2.0 model output prepared for CMIP6 GMMIP. doi:10.22033/ESGF/CMIP6.9049

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 Shu, Qi; Song, Zhenya; Bao, Ying; Yang, Xiaodan; Song, Yajuan; Li, Xinfang; Wei, Meng; Qiao, Fangli. (2022). FIO-ESM v2.0 CORE2-forced experiment for the CMIP6 Ocean Model Intercomparison Project. doi:10.1007/s13131-022-2000-x

[3] 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

[4] 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

[5] 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

[6] 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

[7] 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

[8] 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

[9] DOI MAKINDE, AKINTUNDE Israel; Abiodun, Babatunde J.; James, Rachel; Washington, Richard; Dyer, Ellen; Webb, Tom. (2022). How Well Do CMIP6 Models Simulate the Influence of the West African Westerly Jet on Sahel Precipitation?. doi:10.21203/rs.3.rs-1274137/v1

[10] DOI Diamond, Rachel; Sime, Louise C.; Holmes, Caroline R.; Schroeder, David. (2024). CMIP6 Models Rarely Simulate Antarctic Winter Sea‐Ice Anomalies as Large as Observed in 2023. doi:10.1029/2024gl109265

References

[1] DOI Qiao F, Song Z, Bao Y, Song Y, Shu Q, Huang C, Zhao W. (2013). Development and evaluation of an Earth System Model with surface gravity waves. doi:10.1002/jgrc.20327

[2] DOI Bao, Y.; Song, Z.; Qiao, F. (2020). FIO‐ESM Version 2.0: Model Description and Evaluation. doi:10.1029/2019JC016036

Attached Dataset Groups ( 6 )

Parent project(s)

WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets

[Entry acronym: C6_4414765] [Entry id: 4414765]