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

The Activity 'Further Development and Implementation of Volcanic Ash Modelling in Indonesia' represents the third phase of work undertaken between Geoscience Australia, the Australia Indonesia Facility for Disaster Reduction (AIFDR) and the Government of Indonesia (GoI) agency responsible for assessing, analysing and monitoring volcanic hazards in Indonesia, Badan Geologi (BG) in relation to the development and implementation of a volcanic ash modelling capability in Indonesia. The first phase, beginning in April 2009, focused on testing and assessing existing volcanic ash dispersal models and identifying the most suitable model for adaptation and use in Indonesia. This initial phase succeeded in evaluating a range of existing volcanic ash dispersal models, developing a set of criteria needed for volcanic ash hazard modelling in Indonesia, identifying a model which satisfied the majority of these criteria (FALL3D) and obtaining recommendations from BG users on how FALL3D could be adapted and simplified for use in Indonesia. Phase 1 concluded in June 2010. Phase 2 began in July 2010 and consisted of two sub-phases (a and b). Phase 2a involved validating the chosen volcanic ash dispersal model against historical eruptions in Indonesia in order to assess the accuracy and degree of uncertainty in the simulations. This sub-phase also involved adapting the model for use in Indonesia for users with little or no background in computational modelling and limited computing resources. In consultation with BG, GA and AIFDR developed a scripted user interface using the scientific programming language python which modifies the modelling procedure of FALL3D to simplify its use without compromising the core functionality of the model. This scripted interface was named python-FALL3D (PF3D). Phase 2b involved implementing the newly adapted volcanic ash dispersal model as part of a case study on four volcanoes located in West Java, Indonesia. PF3D and field data were used to produce two probabilistic volcanic ash hazard maps for each volcano. One map considered monsoon wind conditions (September - March) and the second considered trade wind conditions (April - October). Phase 2 concluded in June 2011. Phase 3 (the current Activity) began in May 2012 following a request from BG to undertake a third phase of work focused primarily on building capability to undertake near-real time volcanic ash forecasting using the existing model. This phase aimed to fully embed the volcanic ash modelling capability in BG through continued training and technical support in the use and application of the software, enhancement of its functionality and development and implementation of a procedure for near-real time forecasting of volcanic ash dispersal during an eruption. A methodology for implementing near-real time forecasts of volcanic ash dispersal prior to and during an eruption was developed during this Activity. Two volcanoes in North Sulawesi were chosen as a case study for implementing the forecast methodology. Near-real time volcanic ash forecasting maps for Lokon and Soputan volcanoes were produced by BG staff. BG staff will use these and other map products generated using this methodology to provide accurate and evolving forecasts of volcanic ash distribution which could be used to inform internal decision making processes prior to and during a volcanic crisis. Phase 3 also utilised volcanic ash hazard maps and information generated during the previous phase (West Java) in order to develop a mechanism for delivering volcanic ash hazard information in a format which can be readily integrated into district level impact assessments for communities. This was achieved by developing volcanic ash hazard layers for Guntur Volcano for the Indonesia Scenario Assessment for Emergencies tool (InaSAFE). Phase 3 concluded on June 30 2013.

The National Earth Observations from Space Infrastructure Plan (NEOS-IP) establishes a path of action to strengthen Australia's use of Earth Observation from Space (EOS) by ensuring ongoing access to capabilities that are fit for purpose to address national priorities.

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). The wind hazard outputs are a series of rasters, one for each average recurrence interval considered, presenting peak wind hazard (peak from all directions) as measured in km/h.

Graticular block SD51 Brunswick Bay as requested by Department of Resources, Energy, and Tourism. Depiction of the intersection of the Schedualed Area Boundary with SD51_1113. Refer to LOSAMBA advice register 688. For internal use only, not for public release.

The program package escript is a module in python for solving mathematical modelling problems. It is based on the finite element method (FEM) and scales on compute clusters for thousands of cores. In this paper we will discuss an extension to escript for solving large-scale inversion problems, in particular the joint inversion of magnetic and gravity data. In contrast to conventional inversion programs escript avoids the assemblage of the -in general- dense sensitivity matrix which is problematic when it comes to large-scale problems. Moreover, we will show how the FEM approach can easily be used to solve the adjoined forward problems required for the gradient calculation of the cost function. We will demonstrate the application of the algorithm for field data using hundreds of cores.

Series of maps produced for AFMA in regards the the Capel Bank prosecution.

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.

Geoscience Australia carried out marine surveys in Jervis Bay (NSW) in 2007, 2008 and 2009 (GA303, GA305, GA309, GA312) to map seabed bathymetry and characterise benthic environments through colocated sampling of surface sediments (for textural and biogeochemical analysis) 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 Defence Science and Technology Organisation (DSTO) Research Vessel Kimbla. Bathymetric mapping, sampling and tide/wave measurement were concentrated in a 3x5 km survey grid (named Darling Road Grid, DRG) within the southern part of the Jervis Bay, incorporating the bay entrance. Additional sampling and stills photography plus bathymetric mapping along transits was undertaken at representative habitat types outside the DRG. darlingrd_1m is an ArcGIS layer of the backscatter grid of the Darling Road survey area produced from the processed EM3002 and EM3002D backscatter data of the survey area using the CMST-GA MB Process

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). The wind hazard outputs are a series of rasters, one for each average recurrence interval considered, presenting peak wind hazard (peak from all directions) as measured in km/h.