Published February 19, 2021 | Version v2.0
Dataset Open

NOAA-GFDL GFDL-ESM4 CMIP6 CMIP additional model output

Description

This repository contains annual 3D sea water age since surface contact files from a subset of simulations with GFDL's ESM4.1 climate model (Dunne et al., 2020) that were contributed to the 6th Coupled Model Intercomparison Project (CMIP6). 

Both the ocean model native grid and the regridded output can be found in this repository. For the regridded output, the files have been regridded from MOM6 native grid to standard World Ocean Atlas 1x1 horizontal grid, and  they have been remapped from the lagrangian vertical coordinate used by GFDL's MOM6 ocean model (Adcroft et al., 2019) to standard World Ocean Atlas depths.

Files have undergone QA/QC.

All data files are NetCDF.

Enquiries should be directed to Jasmin.John (Jasmin.John@noaa.gov) or John Dunne (John.Dunne@noaa.gov)

Anyone using these data should cite Dunne et al. (2020) and Adcroft et al. (2019). See references below.

Other variables associated with these simulations, along with assigned DOI's, are available through the ESGF CMIP6 portal:https://esgf-node.llnl.gov/projects/cmip6/ 

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The tar files in the repository follow this naming convention: <model>_<activity>_<MIP>_<experiment>_<component_and_grid>_<variable>.tar.gz

 

E.g. 

 

GFDL_ESM4_CMIP6_CMIP_historical_ocean_annual_z_1x1deg_agessc.tar.gz (regridded)

GFDL_ESM4_CMIP6_CMIP_historical_ocean_annual_z_agessc.tar.gz (native grid)

 

The organization of above repository is as follows:

Experiments:

The concentration-forced piControl simulation: 

NOAA-GFDL/CMIP6/CMIP/GFDL-ESM4/ESM4_piControl_D

The concentration-forced historical simulation: 

NOAA-GFDL/CMIP6/CMIP/GFDL-ESM4/ESM4_historical_D1

The historical simulation was spawned from year 101 of the pre-industrial control simulation

For each experiment, 3D annual sea water age data can be found in the sub-directory:

/ocean_annual_z_1x1deg (for regridded output)

/ocean_annual_z (for native grid output)

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NOTES:

Provenance:

The data provided here do not have metadata that can be used for provenance 

and traceability back to NOAA/GFDL.

The data DOI assigned should be used when sharing and citing these data.

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Files

Files (19.5 GB)

Additional details

Related works

Is supplemented by
Dataset: 10.22033/ESGF/CMIP6.1407 (DOI)
References
Journal article: 10.1029/2019MS002015 (DOI)
Journal article: 10.1029/2019MS001726 (DOI)
Journal article: 10.1029/2019MS002032 (DOI)
Journal article: 10.1029/2019MS002043 (DOI)

References

  • Dunne, John P., Larry W Horowitz, Alistair Adcroft, Paul Ginoux, Isaac M Held, Jasmin G John, John P Krasting, Sergey Malyshev, Vaishali Naik, Fabien Paulot, Elena Shevliakova, Charles A Stock, Niki Zadeh, V Balaji, Chris Blanton, Krista A Dunne, Christopher Dupuis, Jeffrey W Durachta, Raphael Dussin, Paul P G Gauthier, Stephen M Griffies, Huan Guo, Robert Hallberg, Matthew J Harrison, Jian He, William J Hurlin, Colleen McHugh, Raymond Menzel, P C D Milly, Sergei Nikonov, David J Paynter, Jeff J Ploshay, Aparna Radhakrishnan, Kristopher Rand, Brandon G Reichl, Thomas E Robinson, M Daniel Schwarzkopf, Lori T Sentman, Seth D Underwood, Hans Vahlenkamp, Michael Winton, Andrew T Wittenberg, Bruce Wyman, Yujin Zeng, and Ming Zhao, November 2020: The GFDL Earth System Model version 4.1 (GFDL-ESM 4.1): Overall coupled model description and simulation characteristics. Journal of Advances in Modeling Earth Systems, 12(11), DOI:10.1029/2019MS002015.
  • Adcroft, Alistair, Whit G Anderson, V Balaji, Chris Blanton, Mitchell Bushuk, C O Dufour, John P Dunne, Stephen M Griffies, Robert Hallberg, Matthew J Harrison, Isaac M Held, Malte Jansen, Jasmin G John, John P Krasting, Amy R Langenhorst, Sonya Legg, Zhi Liang, Colleen McHugh, Aparna Radhakrishnan, Brandon G Reichl, Anthony Rosati, Bonita L Samuels, Andrew Shao, Ronald J Stouffer, Michael Winton, Andrew T Wittenberg, Baoqiang Xiang, Niki Zadeh, and Rong Zhang, October 2019: The GFDL Global Ocean and Sea Ice Model OM4.0: Model Description and Simulation Features. Journal of Advances in Modeling Earth Systems, 11(10), DOI:10.1029/2019MS001726