CMIP6 CMIP NOAA-GFDL GFDL-CM4 piControl r1i1p1f1 Omon tos gn v20190201

hdl:21.14100/5fb1669f-f73b-3434-b2b7-d71631da1a9f

Guo, Huan et al.

Dataset
climate changeCMIPCMIP6GFDL-CM4IPCCIPCC-AR6IPCC-DDCNOAA-GFDLpiControltos
Summary
[ Derived from parent entry - See data hierarchy tab ]

These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.NOAA-GFDL.GFDL-CM4.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 GFDL-CM4 climate model, released in 2018, includes the following components: aerosol: interactive, atmos: GFDL-AM4.0.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 33 levels; top level 1 hPa), atmosChem: fast chemistry, aerosol only, land: GFDL-LM4.0.1 (1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 20 levels; bottom level 10m); land-Veg:unnamed (dynamic vegetation, dynamic land use); land-Hydro:unnamed (soil water and ice, multi-layer snow, rivers and lakes), landIce: GFDL-LM4.0.1, ocean: GFDL-OM4p25 (GFDL-MOM6, tripolar - nominal 0.25 deg; 1440 x 1080 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: GFDL-BLINGv2, seaIce: GFDL-SIM4p25 (GFDL-SIS2.0, tripolar - nominal 0.25 deg; 1440 x 1080 longitude/latitude; 5 layers; 5 thickness categories). The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 25 km, ocnBgchem: 25 km, seaIce: 25 km.
Project
IPCC-AR6_CMIP6 (Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets)
Location(s)
global
Spatial Coverage
Longitude 0 to 360 Latitude -90 to 90
Temporal Coverage
151-01-16 to 650-12-16 (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
Access constraints
registered users
Size
15.04 GiB (16148783966 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2032-02-01
Download Permission
Please login to check permission and download options
Preview data headers
Cite as
[ Derived from parent entry - See data hierarchy tab ]
Guo, Huan; John, Jasmin G; Blanton, Chris; McHugh, Colleen; Nikonov, Serguei; Radhakrishnan, Aparna; Rand, Kristopher; Zadeh, Niki T.; Balaji, V; Durachta, Jeff; Dupuis, Christopher; Menzel, Raymond; Robinson, Thomas; Underwood, Seth; Vahlenkamp, Hans; Bushuk, Mitchell; Dunne, Krista A.; Dussin, Raphael; Gauthier, Paul PG; Ginoux, Paul; Griffies, Stephen M.; Hallberg, Robert; Harrison, Matthew; Hurlin, William; Lin, Pu; Malyshev, Sergey; Naik, Vaishali; Paulot, Fabien; Paynter, David J; Ploshay, Jeffrey; Reichl, Brandon G; Schwarzkopf, Daniel M; Seman, Charles J; Shao, Andrew; Silvers, Levi; Wyman, Bruce; Yan, Xiaoqin; Zeng, Yujin; Adcroft, Alistair; Dunne, John P.; Held, Isaac M; Krasting, John P.; Horowitz, Larry W.; Milly, P.C.D; Shevliakova, Elena; Winton, Michael; Zhao, Ming; Zhang, Rong (2023). IPCC DDC: NOAA-GFDL GFDL-CM4 model output piControl. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/AR6.C6CMNGGFCpc

BibTeX RIS
VariableCodeAggregationUnit
sea_surface_temperature
CF
tos (IPCC_DDC_AR6: 1158)
mondegC

Is referenced by

[1] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 3.39. doi:10.5281/zenodo.14986393
[2] DOI IPCC Data Distribution Centre. (2025). CMIP6 input data usage information for IPCC WGI AR6 figure 3.40. doi:10.5281/zenodo.14986397

Is source of

[1] IPCC. (2023). Figure 3.39 | Model evaluation of the Pacific Decadal Variability (PDV). In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/figure-3-39
[2] IPCC. (2023). Figure 3.40 | Model evaluation of Atlantic Multi-decadal Variability (AMV). In IPCC, 2023: Chapter 3. https://www.ipcc.ch/report/ar6/wg1/figures/chapter-3/figure-3-40
[3] DOI Phillips, A.; Kosaka, Y.; Cassou, C.; Kazeroni, R. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.40 (v20220614). doi:10.5285/12f0d7db5ed747d2940210e52211ed6a
[4] DOI Phillips, A.; Kosaka, Y.; Cassou, C.; Kazeroni, R. (2023). Chapter 3 of the Working Group I Contribution to the IPCC Sixth Assessment Report - data for Figure 3.39 (v20220614). doi:10.5285/02006a22c33b42039d96be53d332930a
[5] IPCC. (2023). Code for Figure 3.39 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-3_Fig39
[6] IPCC. (2023). Code for Figure 3.40 of the Working Group I Contribution to the IPCC Sixth Assessment Report. https://github.com/IPCC-WG1/Chapter-3_Fig40
[7] DOI Phillips, A.; Kosaka, Y.; Cassou, C.; Karmouche, S.; Bock, L.; Kazeroni, R. (2022). IPCC AR6 WGI - Figure 3.39. doi:10.5281/zenodo.6783258
[8] DOI Phillips, A.; Kosaka, Y.; Cassou, C.; Karmouche, S.; Bock, L.; Kazeroni, R. (2022). IPCC AR6 WGI - Figure 3.40. doi:10.5281/zenodo.6783260

Parent

CMIP6 CMIP NOAA-GFDL GFDL-CM4 piControl
Details

Parent project(s)

Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets

[Entry acronym: C6CMNGGFCpcr111Omtosgn90201] [Entry id: 3953199]