Geoscience Australia carried out a marine survey on Carnarvon shelf (WA) in 2008 (SOL4769) to map seabed bathymetry and characterise benthic environments through colocated sampling of surface sediments and infauna, observation of benthic habitats using underwater towed video and stills photography, and measurement of ocean tides and wavegenerated currents. Data and samples were acquired using the Australian Institute of Marine Science (AIMS) Research Vessel Solander. Bathymetric mapping, sampling and video transects were completed in three survey areas that extended seaward from Ningaloo Reef to the shelf edge, including: Mandu Creek (80 sq km); Point Cloates (281 sq km), and; Gnaraloo (321 sq km). Additional bathymetric mapping (but no sampling or video) was completed between Mandu creek and Point Cloates, covering 277 sq km and north of Mandu Creek, covering 79 sq km. Two oceanographic moorings were deployed in the Point Cloates survey area. The survey also mapped and sampled an area to the northeast of the Muiron Islands covering 52 sq km. cloates_3m is an ArcINFO grid of Point Cloates of Carnarvon Shelf survey area produced from the processed EM3002 bathymetry data using the CARIS HIPS and SIPS software

This metadata relates to the ANUGA hydrodynamic modelling results for Busselton, south-west Western Australia. The results consist of inundation extent and peak momentum gridded spatial data for each of the ten modelling scenarios. The scenarios are based on Tropical Cyclone (TC) Alby that impacted Western Australia in 1978 and the combination of TC Alby with a track and time shift, sea-level rise and riverine flood scenarios. The inundation extent defines grid cells that were identified as wet within each of the modelling scenarios. The momentum results define the maximum momentum value recorded for each inundated grid cell within each modelling scenario. Refer to the professional opinion (Coastal inundation modelling for Busselton, Western Australia, under current and future climate) for details of the project.

This map has been produced for a court case for the Fair Work Ombudsman. The points on the map were sourced from documents supplied by the Fair Work Ombudsman. Boundaries sourced from AMB v2.0 Refer to Advice Register 679. Location M:\advice\fwo

This use of this data should be carried out with the knowledge of the contained metadata and with reference to the associated report provided by Geoscience Australia with this data (Reforming Planning Processes Trial: Rockhampton 2050). A copy of this report is available from the the Geoscience Australia website (http://www.ga.gov.au/sales) or the Geoscience Australia sales office (sales@ga.gov.au, 1800 800 173). This file identifes the storm tide inundation extent for a specific Average Recurrence Interval (ARI) event. Naming convention: SLR = Sea Level Rise s1a4 = s1 = Stage 1(extra-tropical storm tide), s2 = Stage 2 (tropical cyclone storm tide) (relating to Haigh et al. 2012 storm tide study), a4 = area 4 and a5 = area 5 2p93 = Inundation height, in this case 2.93 m Dice = this data was processed with the ESRI Dice tool.

The keystone element of a system is one which is disproportionately important to the workings of that system relative to its size, abundance and/or distribution. In the Broken Hill Managed Aquifer Recharge (BHMAR) Project, previously unidentified faulting of the unconsolidated sediments beneath the Darling Floodplain, N.S.W., may be considered as such a keystone element, as it is a spatially discrete and subtle element of the regional hydrogeological system that is critical to the recharge of the underlying Pliocene aquifers, and consequentially vital to the viability of MAR and groundwater extraction options in the area. Initial inversions of a regional airborne electromagnetics (AEM) dataset revealed a multi-layered conductivity structure in the top 100m, broadly consistent with the hydrostratigraphy identified in a sonic drilling program. However, initial laterally and spatially constrained inversions showed only moderate correlations with ground data in the near-surface (~20m). As additional information from drilling and complementary hydrochemical and hydrodynamic studies became available, various horizontal and vertical constraints were trialled using a new Wave Number Domain Approximate Inversion procedure with a 1D multi-layer model and constraints in 3D. The resultant improved 3D conductivity model revealed that an important Pleistocene aquitard (Blanchetown Clay) confining the main target aquifer (Pliocene Calivil Formation), has an undulating top which is locally sharply offset. The interpreted top surface suggests that it has been affected by significant warping and faulting, as well as regional tilting due to basin subsidence or margin uplift. Overall, the aquitard top surface varies in elevation by 60m. Several of the sharp offsets in the conductivity layers are coincident with lineaments observed in LiDAR data, and with underlying basement faults mapped from airborne magnetic data. The recognition of neotectonics in this area was made possible through the acquisition of high resolution AEM data and the selection of appropriate horizontal and vertical constraints in inversion procedures. Prior to the structural features being mapped it had not been possible to explain apparently contradictory data, nor develop a plausible hydrogeological conceptual model.

1.0 Introduction The SRTM data sets result from a collaborative effort by the National Aeronautics and Space Administration (NASA) and the National Imagery and Mapping Agency (NIMA), as well as the participation of the German and Italian space agencies, to generate a near-global digital elevation model (DEM) of the Earth using radar interferometry. The SRTM instrument consisted of the Spaceborne Imaging Radar-C (SIR-C) hardware set modified with a Space Station-derived mast and additional antennae to form an interferometer with a 60 meter long baseline. A description of the SRTM mission, can be found in Farr and Kobrick (2000). Synthetic aperture radars are side-looking instruments and acquire data along continuous swaths. The SRTM swaths extended from about 30 degrees off-nadir to about 58 degrees off-nadir from an altitude of 233 km, and thus were about 225 km wide. During the data flight the instrument was operated at all times the orbiter was over land and about 1000 individual swaths were acquired over the ten days of mapping operations. Length of the acquired swaths range from a few hundred to several thousand km. Each individual data acquisition is referred to as a "data take." SRTM was the primary (and pretty much only) payload on the STS-99 mission of the Space Shuttle Endeavour, which launched February 11, 2000 and flew for 11 days. Following several hours for instrument deployment, activation and checkout, systematic interferometric data were collected for 222.4 consecutive hours. The instrument operated virtually flawlessly and imaged 99.96% of the targeted landmass at least one time, 94.59% at least twice and about 50% at least three or more times. The goal was to image each terrain segment at least twice from different angles (on ascending, or north-going, and descending orbit passes) to fill in areas shadowed from the radar beam by terrain. This 'targeted landmass' consisted of all land between 56 degrees south and 60 degrees north latitude, which comprises almost exactly 80% of the total landmass. 2.0 Data Set Characteristics 2.1 General SRTM data were processed in a systematic fashion using the SRTM Ground Data Processing System (GDPS) supercomputer system at the Jet Propulsion Laboratory. Data were mosaicked into approximately 15,000 one degree by one degree cells and formatted according to the Digital Terrain Elevation Data (DTED) specification for delivery to NIMA, who will use it to update and extend their DTED products. Data were processed on a continent-by-continent basis beginning with North America. 2.2 Organization SRTM data are organized into individual rasterized cells, or tiles, each covering one degree by one degree in latitude and longitude. Sample spacing for individual data points is either 1 arc-second or 3 arc-seconds, referred to as SRTM-1 and SRTM-3, respectively. Since one arc-second at the equator corresponds to roughly 30 meters in horizontal extent, the sets are sometimes referred to as "30 meter" or "90 meter" data.

This data release includes a three-dimensional (3D) geological map of the Cooper Basin region which has been produced from 3D inversions of Bouguer gravity data using geological data to constrain the inversions. It also includes predictions of temperature and temperature uncertainty which have been produced from the 3D map. The 3D geological map delineates regions of low density within the basement of the Cooper and Eromanga basins. These are inferred as granitic bodies, which may act as heat sources. It also delineates the stratigraphy of the sedimentary basins which provide thermal insulation. This release is the second version of the 3D map of the Cooper Basin region. It builds on Version 1 of the Cooper Basin Region Geological map, released in 2009. The 3D map is supplied in Gocad® format as a voxet. The voxet contains the following properties: Geology - defined as lithology number (integer) corresponding to each geological unit in the 3D map: 0 - Air 1 - Surficial 2 - Allaru 3 - Cadna-owie 4 - Westbourne 5 - Nappamerri 6 - Toolachee 7 - Patchawarra 8 - Tirrawarra 9 - Warrabin Trough 10 - Basement (central) 11 - Undifferentiated granite 12 - Big Lake Suite granodiorite 13 - Devonian granite 14 - Basement (northwest) 15 - Basement (southeast) Heat_Flow - Predicted heat flow (in mW/m2) throughout the volume of the map Heat_Production_Rate - input heat production rate (in W/m3) assigned to each geology unit Temperature_degC - predicted temperature in degrees celcius throughout the volume of the map Temperature_Standard_Deviation_degC - standard deviation on the temperature predictions Temperature_Standard_Deviation_percent - standard deviation on the temperature predictions, calculated as a percentage of the predicted temperature Thermal_Conductivity - final thermal conductivity values (W/mK), calculated at the modelled temperature.

Geoscience Australia carried out marine surveys in southeast Tasmania in 2008 and 2009 (GA0315) to map seabed bathymetry and characterise benthic environments through observation of habitats using underwater towed video. Data was acquired using the Tasmania Aquaculture and Fisheries Institute (TAFI) Research Vessel Challenger. Bathymetric mapping was undertaken in seven survey areas, including: Freycinet Pensinula (83 sq km, east coast and shelf); Tasman Peninsula (117 sq km, east coast and shelf); Port Arthur and adjacent open coast (17 sq km); The Friars (41 sq km, south of Bruny Island); lower Huon River estuary (39 sq km); D Entrecastreaux Channel (7 sq km, at Tinderbox north of Bruny Island), and; Maria Island (3 sq km, western side). Video characterisations of the seabed concentrated on areas of bedrock reef and adjacent seabed in all mapped areas, except for D Entrecastreaux Channel and Maria Island. friars_1 is an ArcINFO grid of the Friars islets, south of Bruny Island survey area produced from the processed EM3002 bathymetry data using the CARIS HIPS and SIPS software.

Benthic marine invertebrates and their planktonic life stages live in a multistressor world where stressor levels are, and will continue to be, exacerbated by global change. Global warming and increased atmospheric CO2 are causing the oceans to warm, decrease in pH and become hypercapnic. These concurrent stressors have strong impacts on biological processes, but little is known about their combined effects on marine invertebrate development. Increasing temperature has a pervasive stimulatory effect on metabolism until lethal levels are reached, whereas hypercapnia can depress metabolism. Ocean acidification is a major threat to calcifying life stages because it decreases carbonate mineral saturation and also exerts a direct pH effect on physiology. Ocean pH, pCO2 and CaCO3 covary and will change simultaneously with temperature, challenging our ability to predict future outcomes for marine biota. The need to consider both ocean warming and acidification is reflected in the recent increase in multifactorial studies of these stressors on development of marine invertebrates. The outcomes and trends in these studies are synthesized here. Different sensitivities of life history stages and species have implications for persistence and community function in a changing ocean. Some species are more resilient than others and may be potential 'winners' in the climate change stakes. For echinoderms where multistressor studies span across life stages, the impacts of pH/pCO2 and warming on benthic-pelagic life cycle phases are assessed. As the ocean will change more gradually over coming decades than in 'future shock' experiments, it is likely that some species may be able to tolerate near future ocean change through acclimatization or adaption.

An interpretation of SIMS O isotope analysis and LA-MC-ICP-MS Lu-Hf analyses of zircons from the Rum Jungle Complex, northern Australia