The eddy-resolving Ocean Forecasting Australia Model (OFAM) is used to downscale future climate projections by CSIRO Mk3.5 climate model under scenario A1B for the 2060s. A simulation run without relaxation and another run with relaxation to expected sea surface temperature and sea surface salinity are archived with 3D fields of ocean temperature, salinity, currents, and sea surface height.

The eddy-resolving Ocean Forecasting Australia Model (OFAM) is used to downscale future climate projections by CSIRO Mk3.5 climate model under scenario A1B for the 2060s.

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 dataset comprises output from 10 general circulation ocean models contributing to the 4th Assessment Report of the Intergovernmental Panel on Climate Change (IPCC). The models span the globe however a subset encompassing the Indonesian Throughflow and Leeuwin Current region in the East Indian Ocean has been extracted. Ocean horizontal resolutions of the models range from approximately 1 degree to 2.5 degree, and vertical resolutions expand from the surface to their maximum depths. Outputs cover the period from late 1800's to 2100 (2200 for some models) with monthly outputs of zonal and meridioanl current velocity, wind speed and stress of the full 3-dimensional fields.

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 East 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.

Argo is an international collaboration that collects high-quality temperature and salinity profiles from the upper 2000m of the ice-free global ocean and currents from intermediate depths. The data comes from more than 3000 battery-powered autonomous floats that spend most of their life drifting at depth covering most of the world oceans. At typically 10-day intervals, the floats rise to the surface over about 6 hours while measuring temperature and salinity. Satellites determine the position of the floats when they surface, and receive the data transmitted by the floats. The float then returns to its original density and sinks to drift until the cycle is repeated. Floats are designed to make about 150 such cycles. Argo Australia provides real-time observations of the oceans around Australia by maintaining an array of autonomous profiling floats. Data and information regarding Argo Australia and the International Argo program can be found at the Argo Australia web page (see data link below). CMAR holds a mirror of the data from the US Argo server for internal project access, this is regularly updated. (see data link below).