From Australian Oceans Data Network

CSIRO-Mk3-6-0 model output prepared for CMIP5 sstClim4xCO2

Created 13/03/2025

Updated 13/03/2025

sstClim4xco2 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (http://cmip-pcmdi.llnl.gov/cmip5/). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.2b sstClim4xco2 (6.2b SST Climatology With 4XCO2 Forcing) - Version 1: AMIP-style experiment with control run climatological SSTs and sea ice (as in 6.2a) but with quadrupled 4XCO2 imposed. Experiment design: http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdf List of output variables: http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdf Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (http://cmip-pcmdi.llnl.gov/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.

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Additional Info

Field Value
Title CSIRO-Mk3-6-0 model output prepared for CMIP5 sstClim4xCO2
Language English
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/067998fa-4376-4b4c-9981-d7f09da64862
Contact Point
CSIRO Oceans & Atmosphere
help@nci.org.au
Reference Period 17/05/2019
Geospatial Coverage {"type": "Polygon", "coordinates": [[[-180.0, -90.0], [180.0, -90.0], [180.0, 90.0], [-180.0, 90.0], [-180.0, -90.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "CSIRO-Mk3-6-0 model output prepared for CMIP5 sstClim4xCO2". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/csiro-mk3-6-0-model-output-prepared-for-cmip5-sstclim4xco2

No duplicate datasets found.