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SODA - Simple Oceanic Data Assimilation - Oceanographic Variables reanalysis dataset 1958-2001

Created 26/06/2017

Updated 26/06/2017

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The SODA (Simple Oceanographic Data Assimilation) datasets are global ocean reanalysis datasets created by assimilating timely temperature and salinity observational data into an eddy permitting forecast model based on the Parallel Ocean Program POP1.3 model forced with ERA40 winds. SODA was created to reconstruct historical ocean climate variability on space and timescales similar to those captured by the atmospheric reanalysis projects at NCEP. The CSIRO version of the ENACT dataset is a concatenation of the individual monthly variables into single netcdf files for the time period 1958-2001 with a spatial resolution of .5° x .5° at 40 levels. It has also been processed to include calculated anomaly and climatological forms of this data. There are 3 models available: Ver1.2: Monthly-9 files 80.4GB, Anomaly-9 files 77.3GB, Climatology-9 files 1.88GB Ver1.4.2: Monthly-7 files 76.1GB, Anomaly-8 files 78.0GB, Climatology-7 files 3.5GB Ver2.0.2: Monthly-16 files 152.0GB, Anomaly-16 files 156.0GB, Climatology-16 files 3.5GB

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Title SODA - Simple Oceanic Data Assimilation - Oceanographic Variables reanalysis dataset 1958-2001
Language English
Licence Other
Landing Page https://devweb.dga.links.com.au/data/dataset/9b0dd311-9f9e-4e92-be6a-951f56bfdef3
Contact Point
CSIRO Oceans and Atmosphere - Information and Data Centre
data-requests-hf@csiro.au
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 "SODA - Simple Oceanic Data Assimilation - Oceanographic Variables reanalysis dataset 1958-2001". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/soda-simple-oceanic-data-assimilation-oceanographic-variables-reanalysis-dataset-1958-2001

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No duplicate datasets found.