This data file contains global-mean thermosteric sea level anomalies and associated errors between 1950 and 2003, based on the enact 3 data set with Wijffels et.al. (2008) fall rate corrections applied to the eXpendable BathyThermograph (XBT). There are two files, one with yearly averages, the other with three-year running means. The Units are millimetres. For the errors, One-sigma error in the same units as the variables, and the period is 1950 to 2003, relative to 1961 (zero-crossing), the yearly averages are averages over a calendar year. The time in the file is the centre of the year averaged over. Three-year means are also centred on the time shown. and the depth-integrations are 0-100 m, 0-300 m, and 0-700 m. The three-year running means are as plotted in Domingues et.al. (2008), and are recommended as being the best to use.

This data file contains Ocean heat content (OHC) anomalies and associated errors between 1950 and 2003, based on the enact 3 data set with Wijffels et.al. (2008) fall rate corrections applied to the eXpendable BathyThermograph (XBT). There are two files, one with yearly averages, the other with three-year running means. The Units are: Joules X 1e-22 (i.e. multiply the numbers in the file by 1e22 to get OHC in Joules). For the errors, One-sigma error in the same units as the variables. and the period is 1950 to 2003, relative to 1961 (zero-crossing), the yearly averages are averages over a calendar year. The time in the file is the centre of the year averaged over. Three-year means are also centred on the time shown. and the depth-integrations are 0-100 m, 0-300 m, and 0-700 m. The three-year running means are as plotted in Domingues et.al. (2008), and are recommended as being the best to use.

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

The European Centers for Medium range Weather Forecasts (EMCW) Ocean Re-Analysis System 3(ORA-S3) datasets, created by the synthesis of surface and subsurface ocean observations (temperature, salinity, altimeter derived sea-level anomalies) , surface fluxes from atmospheric analysis and reanalysis, and a general circulation ocean model(HOPE). ORA-S3 was created and is used to provide initial conditions for coupled model forecasts as well as seasonal & decadal forecasting predictions within the ENSEMBLES project. The CSIRO version of the ORA-S3 dataset is a concatenation of the individual monthly variables into single netcdf files for the time period 1959-2006 at 256 lat & 195 Lon positions with 29 Levels. It has also been processed to include calculated Anomaly, Climatological and Seasonal forms of this data. There are 10 Monthly files 13.0GB, 10 Anomaly files 13.0GB, 10 Climatology files 557MB, and 10 Seasonal files 9.81GB.

This dataset contains temperature data from the West Indian Ocean. Data (including available XBT data) were collected since 1778. They have been subjected to quality control as an activity of CSIRO and BoM.

Algorithms are presented for density, potential temperature, conservative temperature, and the freezing temperature of seawater. The algorithms for potential temperature and density (in terms of potential temperature) are updates to routines recently published by McDougall et al., while the algorithms involving conservative temperature and the freezing temperatures of seawater are new. The McDougall et al. algorithms were based on the thermodynamic potential of Feistel and Hagen; the algorithms in this study are all based on the "new extended Gibbs thermodynamic potential of seawater" of Feistel. The algorithm for the computation of density in terms of salinity, pressure, and conservative temperature produces errors in density and in the corresponding thermal expansion coefficient of the same order as errors for the density equation using potential temperature, both being twice as accurate as the International Equation of State when compared with Feistel's new equation of state. An inverse function relating potential temperature to conservative temperature is also provided. The difference between practical salinity and absolute salinity is discussed, and it is shown that the present practice of essentially ignoring the difference between these two different salinities is unlikely to cause significant errors in ocean models.

The neutral density code comes as a package of MATLAB and/or FORTRAN routines which enable the user to fit neutral density surfaces to arbitrary hydrographic data. The FORTRAN implementation consists of a FORTRAN subroutine which labels a cast of hydrographic data with neutral density, and another subroutine which then finds the positions of specified neutral density surfaces within the water column. The MATLAB implementation consists of two MATLAB functions performing these same operations, only on sections of hydrographic data. Versions are available for Unix workstations running with the NETCDF data archiving library and PC's not running NETCDF. This latter code is suitable for compilation on Unix workstations or other machines not running the NETCDF library. The MATLAB version for the PC does not require compilation of the underlying FORTRAN code, unlike the UNIX version of the code. All code comes with documentation in the form of Readme files, as well as Makefiles and examples to provide check values for the user. This "in-house" CSIRO software is available under conditions which are attached with the software.

The CSIRO Mk3 climate system model contains a comprehensive representation of the four major components of the climate system (atmosphere, land surface, oceans and sea-ice), and in its current form is as comprehensive as any of the global coupled models available worldwide. The Mk3 model will be used to investigate the dynamical and physical processes controlling the climate system, for multiseasonal predictions, and for investigations of natural climatic variability and climatic change.

This dataset contains temperature data from the Tasman Sea. Data (including available XBT data) were collected since 1778. They have been subjected to quality control as an activity of CSIRO and BoM.

The CSIRO Mk 3.0 climate system model contains a comprehensive representation of the four major components of the climate system (atmosphere, land surface, oceans and sea-ice). There are a simulations for a range of scenarios available for this model and also for the later CSIRO Mk 3.5 model. This simulation uses scenario PIcntrl which represents a Pre-industrial control experiment. This is a standard experiment for model intercomparisons. The scenario includes standard daily and monthly meteorological, and monthly oceanographic variables as netCDF files organised by variable and time period, totalling 4020 files. The data are accessible to authorised users via an OpenDAP server at CSIRO HPSC, and also from PCMDI in the U.S.A. It is also a contribution to the WCRP CMIP3 multi-model database and meets their formatting standards.