The ENACT (Enhanced ocean data Assimilation and ClimaTe prediction) datasets are global ocean reanalysis datasets created by assimilating timely observational data into a numerical ocean circulation model (HOPE-E). ENACT was created as a part of the European Commission Framework 5 project motivated by the requirement to provide a detailed estimate of the ocean state at a particular time, providing gridded temperature, salinity, and velocity information. The CSIRO version of the ENACT dataset is a concatenation of the individual monthly variables Potential temperature, Seawater x-velocity & Seawater y-velocity into single netcdf files for the time period 1962-2004 with a spatial resolution of 1.0° x 1.0° at 33 depths. It has also been processed to include calculated anomaly, climatology, and seasonal forms of this data.

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.

The SeaWater library of EOS-80 seawater properties is obsolete; it has been superseded by the Gibbs SeaWater (GSW) Oceanographic Toolbox of the International Thermodynamic Equation Of Seawater - 2010, (TEOS-10). The official site for the thermodynamic properties of seawater is www.TEOS-10.org. TEOS-10 is based on a Gibbs function formulation from which all thermodynamic properties of seawater (density, enthalpy, entropy sound speed, etc.) can be derived in a thermodynamically consistent manner. TEOS-10 has been endorsed by SCOR and IAPSO and has been adopted by the Intergovernmental Oceanographic Commission at its 25th Assembly in June 2009 (http:///www.teos-10.org/pubs/IOC-XXV-3_e.pdf) to replace EOS-80 as the official description of seawater and ice properties in marine science. A significant change compared with past practice is that TEOS-10 uses Absolute Salinity SA (mass fraction of salt in seawater) as opposed to Practical Salinity SP (which is essentially a measure of the conductivity of seawater) to describe the salt content of seawater. Ocean salinities now have units of g/kg. The GSW Oceanographic Toolbox, http://www.teos-10.org/software.htm has almost 100 functions, such as density, entropy, enthalpy, Conservative Temperature, buoyancy frequency, and various geostrophic streamfunctions. Historical Releases of the now-obsolete SeaWater library. SEAWATER Library Version 3.0 (for Matlab 5.x onwards) is a Library of MATLAB Computational Routines for the EOS-80 Properties of Seawater. Developed by Phil Morgan, CSIRO Marine Research, updated and maintained by Lindsay Pender Lindsay.pender@csiro.au Last updated 2006. LIST OF ROUTINES: - SW_ADTG Adiabatic temperature gradient - SW_ALPHA Thermal expansion coefficient (alpha) - SW_AONB Calculate alpha/beta (a on b) - SW_BETA Saline contraction coefficient (beta) - SW_BFRQ Brunt-Vaisala Frequency Squared (N^2) - SW_COPY Copyright and Licence file - SW_CP Heat Capacity (Cp) of Sea Water - SW_DENS Density of sea water - SW_DENS0 Denisty of sea water at atmospheric pressure - SW_DIST Distance between two lat, lon coordinates - SW_DPTH Depth from pressure - SW_F Coriolis factor "f" - SW_FP Freezing Point of sea water - SW_G Gravitational acceleration - SW_GPAN Geopotential anomaly - SW_GVEL Geostrophic velocity - SW_INFO Information on the SEAWATER library - SW_PDEN Potential Density - SW_PRES Pressure from depth - SW_PTMP Potential temperature - SW_SALS Salinity of sea water - SW_SALT Salinity from cndr, T, P - SW_SATAr Solubility (saturation) of Ar in seawater -SW_SATN2 Solubility (saturation) of N2 in seawater - SW_SATO2 Solubility (saturation) of O2 in seawater - SW_SVAN Specific volume anomaly - SW_SVEL Sound velocity of sea water - SW_SMOW Denisty of standard mean ocean water (pure water) - SW_TEMP Temperature from potential temperature - SW_TEST Run test suite on library - SW_VER Version number of SEAWATER library LOW LEVEL ROUTINES CALLED BY ABOVE: (also available for you to use) - SW_C3515 Conductivity at (35,15,0) - SW_CNDR Conductivity ratio R = C(S,T,P)/C(35,15,0) - SW_SALDS Differiential Ds/d(sqrt(Rt)) at consta

A MATLAB routine (readBRAN) was created to ease accessing the BRAN data for analysis and use. Particle tracking was done using the velocity data in BRAN to investigate the source and sinks of the Leeuwin Current waters.

A MATLAB routine (readBRAN) was created to ease accessing the BRAN data for analysis and use. The BRAN model data was compared with the SRFME mooring data to valid the model results.

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 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.

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.

The CSIRO Mk 3.5 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 simulations for a range of scenarios available for this 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 8620 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.

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 Commit, which represents a commited climate change scenario with constant year 2000 GHG(Green House Gas) concentrations. 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 900 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.