Australian 3D geological models1TBfj9gdata1Yes
|Title||Size||Project Code||Global File System||THREDDS||Other Services|
|National CT-Lab Tomographic Collection||1TB||fx2||gdata1||Yes|
|Nature Hazards Archive||2TB||fj6||gdata1||Yes|
This is a collection of tomographic data acquired since 2001 at the ANU x-ray micro-CT facility. The data comes from a variety of research domains and includes images of fossils, rock cores, grain packings and biological specimens, notably insects and human and animal bone. Many of the raw tomographic images are complemented by the results of downstream analysis, such as segmentation and morphological transforms. All images are stored in the NetCDF format and include complete metadata describing the imaging parameters and details of any subsequent image processing. The collection will be greatly expanded from mid-2014 with tomographic and other data captured at the Department National CT-Lab.
Geoscience Australia is the custodian of the most comprehensive publicly available Australian airborne magnetic, gamma-ray, seismic, electromagnetic and gravity data sets. The airborne geophysics data set contains approximately 34 million line kilometres of data, which, at current prices, would cost approximately $197 million to acquire. The gravity data set contains more than 1.57 million reliable onshore stations gathered during more than 1800 surveys. The collection also includes a large number of seismic surveys from Australia offshore basins. The data types and access methods for the Offshore and Onshore data are identical.
Geophysical datasets published by GSWA and available via the Australian National Virtual Geophysical Laboratory portal presently at //https://anvgl.geoanalytics.csiro.au/ANVGL-Portal/gmap.html (WA postern).
At present the collection contains WA state-wide compilation grids in NetCDF format:
* Magnetic anomaly grids at 80m, 40m and 20m cell size;
* Radiometric grids at 80 m cell size;
* Gravity anomaly grid at 500m cell size.
These same grids in ERS format and other datasets are available from the WA Department of Mines and Petroleum website at http://www.dmp.wa.gov.au/geophysics or from the Pawsey Supercomputing Centre Public Data Store at https://data.pawsey.org.au/public/?path=GSWA_Geophysics.
This comprehensive data set of Australian Natural Hazards contains both accurate historical observations and synthetic event catalogues which provide stochastic predictions of future hazards events. Natural hazard data describes the frequency, intensity and spatial distribution of natural hazard events (e.g. earthquakes, tsunami, floods and tropical cyclones) and their impacts. Probabilistic hazard, impact and risk data is generated through application of stochastic hazard modelling systems infrastructure exposure databases and engineering vulnerability models.
Natural hazard data supports the nation to respond effectively to emergencies, reduce the threat natural hazards pose to Australiaâ€™s national interests and address issues relating to community safety, urban development, building design, climate change and insurance. A baseline understanding of hazards, impacts and risk can help to enhance community resilience to extreme events and a changing environment.
Observed hazard data represent a fundamental input to all branches of natural hazard risk management, which is invaluable to the research community. Observed data are used as a base input to stochastic hazard models and catastrophe (impact) models, but also serves to validate the outputs of such models, which provide both probabilistic hazard data and modelled scenarios. Probabilistic hazard and risk information provides planners and designers opportunity to investigate the cost and benefit of policy options to mitigate natural hazard impacts. Modelled disaster scenario information can enable disaggregation of probabilistic hazard to identify most probable event contributing to hazard. This can lead to more detailed modelling: for example probabilistic tsunami hazard assessment data informing community-level inundation modelling studies.
The complete hazards dataset is comprised of three core hazards: earthquake, tsunami and tropical cyclones. Within each there are a range of fundamental and derived datasets that are of value to researchers:
- Earthquake datasets: complete historic catalogue of earthquakes, synthetic event catalogues, source zones, acceleration response spectra on a national grid;
- Tsunami datasets: global source zones, probabilistic near-shore wave height records;
- Tropical cyclone datasets: Scenario tracks, wind fields and impact data, probabilistic wind speed data (hazard), site-exposure wind multipliers on a national grid;
- Neotechtonics dataset: a comprehensive record of known neotectonic features; location, geometry, maps and equivalent earthquake magnitudes data;
- Landslides dataset: a comprehensive historic catalogue of landslides; a basis for understanding the distribution, types, causes, consequences, and costs of landslides.
Geoscience Australia (GA) has created a unique collection of 3D structural and geological models and model inputs for Australia and its near shore regions. Currently the collection contains a variety of 3D volumetric models and surfaces that were produced for specific projects at regional to continental scale. The approximately 40 regional scale models in the collection cover roughly 1/3 of the Australian continent. The models capture 3D stratigraphy and architecture, including the depth to bedrock and the locations of different major rock units, faults and geological structures. The geologic models represent the integration of geophysical surveys, seismic surveys, borehole data, field geology, and geochemical data, the majority of which will now be available through this and other RDSI collections. In their current form, the 3D models provide a valuable input to simulations of geological processes. However, the plan over time is to use the HPC capability at NCI and the large storage volumes available to dynamically integrate the various models and geological, geochemical and geophysical derivative products to then create a unified 3D model for the entire continent. Separately and then cumulatively, these models will provide an important new basis for describing and understanding Australian geologic evolution and resource wealth.Currently there are no international open standards for the development and storage of 3D geological models, which is why they are difficult to integrate or stitch into nationally integrated data sets. The lack of consistency of the models means that each has to be transformed into formats compatible with existing HP modelling and simulation software. It is hoped that through exposing these 3D geological models into a HP collaborative environment that this will foster and accelerate the development of international standards and tools necessary for the assimilation of 3D geological models into a variety of HP programs