Coordinated Ocean-ice Reference Experiments - Phase II
ds262.0
| DOI: 10.5065/D6WM1C78
Abstract:
Coordinated Ocean-ice Reference Experiments (COREs) were proposed by the CLIVAR Working Group on Ocean Model Development (WGOMD) as a venue for comparing global ocean-sea ice models run under a common prescribed atmospheric state, with boundary fluxes computed via the same bulk formulae. CORE simulations complement the coupled climate and earth system models run for the Coupled Model Intercomparison Project (CMIP). Efforts across a broad community of modeling groups have produced CORE Phase 2 hindcast simulations (CORE-II) using 62 years (1948-2009) of interannual forcing.
The CORE-II simulations provide a framework to evaluate ocean model performance, to study mechanisms of ocean phenomena and their variability from seasonal to decadal timescales, to identify forced variability changes, and to develop mechanistic descriptions of observed climate variability and change.
Temporal Range:
1948 to 2009
Updates:
Irregularly
Variables:
| Air Temperature | Fresh Water Flux | Ice Depth/Thickness | Ice Growth/Melt |
| Ocean Tracers | Potential Density | Potential Temperature | Rain |
| Salinity | Salinity | Salt Transport | Sea Ice Concentration |
| Sea Surface Height | Sea Surface Temperature | Snow Melt | Water Depth |
Data Types:
Grid
Data Contributors:
DOC/NOAA/GFDL
NOAA Geophysical Fluid Dynamics Laboratory, U.S. Department of Commerce
|
JP/JMA
Japan Meteorological Agency, Japan
|
NO/IMR
Institute of Marine Research, Bergen, Norway
|
AWI
Alfred Wegener Institute for Polar and Marine Research
|
U-SOTON/NOC
National Oceanography Centre, University of Southampton
|
FSU/COAPS
Center for Ocean-Atmospheric Prediction Studies, Florida State University
|
UCAR/NCAR/CGD/OCE
Oceanography Section, Climate and Global Dynamics Division, National Center for Atmospheric Research, University Corporation for Atmospheric Research
|
FR/CNRM
Centre National de Recherches Meteorologiques, France
Related Resources:
Publications:
Griffies, S. M., Winton, M., Samuels, B., Danabasoglu, G., Yeager, S., Marsland, S., Drange., H., and Bentsen, M., 2012: Datasets and protocol for the CLIVAR WGOMD Coordinated Ocean-sea ice Reference Experiments (COREs). WCRP Report No. 21/2012, WCRP, 21 pp.
Large, W. G. and S. G. Yeager., 2009: The global climatology of an interannually varying air–sea flux data set Climate Dynamics, 33, 341-364 (DOI: 10.1007/s00382-008-0441-3).
Total Volume:
2.58 TB
(Entire dataset)
Volume details by dataset product
Volume details by dataset product
(AWI) Alfred-Wegener-Institute Finite Element Sea-ice Ocean Model (FESOM): 47.59 GB
(BERGEN) Ocean and sea-ice components of the Norwegian Earth System Model (NorESM; Bentsen et al., 2013): 511.81 GB
(CERFACS) Centre Européen de Recherche et de Formation Avancée en Calcul Scientifiqu Ocean model configuration of the NEMO model: 56.98 GB
(CMCC) Centro Euro-Mediterraneo sui Cambiamenti Climatici CESM framework with the NEMO version 3.3: 41.1 GB
(CNRM) Centre National de Recherches Météorologiqu NEMO with Gelato5 sea ice component: 38.41 GB
(FSU) Florida State University Hybrid Coordinate Ocean Model version 2.2: 342.56 GB
(GFDL-GOLD) Geophysical Fluid Dynamics Laboratory Generalized Ocean Layer Dynamics Model: 59.8 GB
(GFDL-MOM) Geophysical Fluid Dynamics Laboratory Modular Ocean Model: 57.45 GB
(ICTP) International Center for Theoretical Physics, ICTP-MOM ocean-sea-ice model is a coarse resolution version of the GFDL-MOM model.: 46.68 GB
(INMOM) The Institute of Numerical Mathematics Ocean Model: 34.59 GB
(MRI) Meteorological Research Institute MRI-A and MRI-F: 200.17 GB
(NCAR) National Center for Atmospheric Research Parallel Ocean Program version 2 and the sea-ice model version 4: 936.91 GB
(NOCS) National Oceanography Centre Southampton NOCS-ORCA1 is the 1° model configuration of the NEMO 3.4 framewokr: 205.64 GB
Data Formats:
Metadata Record:
Data License:
This work is licensed under a Creative Commons Attribution 4.0 International License.
Citation counts are compiled through information provided by publicly-accessible APIs according to the guidelines developed through the https://makedatacount.org/ project. If journals do not provide citation information to these publicly-accessible services, then this citation information will not be included in RDA citation counts. Additionally citations that include dataset DOIs are the only types included in these counts, so legacy citations without DOIs, references found in publication acknowledgements, or references to a related publication that describes a dataset will not be included in these counts.