The large tsunami disasters of the last two decades have highlighted the need for a thorough understanding of the risk posed by relatively infrequent but disastrous tsunamis and the importance of a comprehensive and consistent methodology for quantifying the hazard. In the last few years, several methods for probabilistic tsunami hazard analysis have been developed and applied to different parts of the world. In an effort to coordinate and streamline these activities and make progress towards implementing the Sendai Framework of Disaster Risk Reduction (SFDRR) we have initiated a Global Tsunami Model (GTM) working group with the aim of i) enhancing our understanding of tsunami hazard and risk on a global scale and developing standards and guidelines for it, ii) providing a portfolio of validated tools for probabilistic tsunami hazard and risk assessment at a range of scales, and iii) developing a global tsunami hazard reference model. This GTM initiative has grown out of the tsunami component of the Global Assessment of Risk (GAR15), which has resulted in an initial global model of probabilistic tsunami hazard and risk. Started as an informal gathering of scientists interested in advancing tsunami hazard analysis, the GTM is currently in the process of being formalized through letters of interest from participating institutions. The initiative has now been endorsed by UNISDR and GFDRR. We will provide an update on the state of the project and the overall technical framework, and discuss the technical issues that are currently being addressed, including earthquake source recurrence models and the use of aleatory variability and epistemic uncertainty, and preliminary results for a global hazard assessment which is an update of that included in UNIDSDR GAR15.

A video for the launch of new Great Barrier Reef bathymetry data on 30 November 2017.

Prior to the advent of satellite imagery in the 1970s, extensive use was made of aerial photography to systematically image and capture land information. As part of national mapping and survey campaigns run by its predecessors, Geoscience Australia (GA) is custodian of some 1.2 million aerial photos dating back to 1928. Through these campaigns every part of Australia and its external territories was imaged at some point and often repeatedly over the last 90 years, forming a unique and invaluable historical collection. Most importantly, they enable us to extend the record of surface land changes back an additional 50 years or more. GA is progressively moving this collection from analogue to a modern digital data management framework. Discoverability and access to data are essential to realising the full potential of the collection, and associated flight line diagrams are critical in connecting physical and digitised material in the collection to an accurate location consistent with modern datums. The focus of digitisation has been on scanning film and storing individual frames as photo images. Both flight line diagrams are also being digitised and georeferenced, and information on the film is transcribed into a structured database, which will drive a future catalogue for open online access. Only a subset of the aerial photos have been digitised, based on preservation concerns and specific use-cases. GA also is prototyping a new processing workflow to value-add to the digitised collection by creating products that are readily consumable into geographic information systems and as web services. This work may lead to further investment in digitisation by demonstrating broader utility and continuing collaboration with other stakeholders such as the National Archives of Australia. This will be needed to complete the modernisation vision, As with other historic data remediation, surprising finds have been unearthed, gaps in supporting information identified, and an untapped but largely recognised desire for the data. GA is investigating possible applications of citizen science to aid in the modernisation of this collection. This presentation will look at the process undertaken, the type of data available, and will outline some examples of the data, and future use. <b>ePoster is no longer available for access</b>

Bookmark developed during the year of the 30th anniversary of the Newcastle earthquake and used to raise awareness of earthquakes and to provide information on what to do in an earthquake. As Geoscience Australia jointly operates the Joint Australian Tsunami Warning Centre with the Bureau of Meteorology, the bookmark also provides information on tsunami safety. Geoscience Australia identifies and characterises potentially tsunamigenic earthquakes and this information is used to initiate the tsunami warning chain.

<p>Bathymetry flythrough of Perth Canyon using data acquired by Schmidt Ocean Institute in 2015 on RV Falkor (University of Western Australia et al.). The flythrough highlights geomorphic features mapped by Geoscience Australia, including landslides, escarpments and bedform fields and biodiversity associated with the canyon (benthic and pelagic). Produced as a science communication product for the Marine Biodiversity Hub (National Environmental Science Program). <p>This research is supported by the National Environmental Science Program (NESP) Marine Biodiversity Hub through Project D1.

Flythrough of Murray Canyons based on AUSCAN research cruise Jan-March 2003

The Location Index (Loc-I) project commenced in 2018 and aims to bring together geospatial data from across a number of government sources, making it openly available to government policy developers and decision makers via one central location. This video animation is 3:47 long in MP4 format and describes the Location Index project aims and objectives

The ACT Region 2009 Fly-through illustrates the use of the map and data throughout the ACT community - as a tool to safeguard it.

Version 2: the design of the mouse pad has been updated, increasing its overall size and changing the background colour/graphics. Version 1: This mouse pad was created by the Mineral Exploration Promotion section as an informative give-away for domestic and international conferences. The mouse pad displays an abbreviated periodic table of the elements with those elements that Australia produces, has known resources of and explores for highlighted in different colours. Version 1a: The mouse pad design was updated in February 2019 by the Resources Assessment, Advice and Minerals Promotion section to highlight critical commodities (and update the production status of some elements).

Probabilistic methods applied to infrequent but devastating natural events are intrinsically challenging. For tsunami analyses, a suite of geophysical assessments should be in principle evaluated because of the different causes generating tsunamis (earthquakes, landslides, volcanic activity, meteorological events, asteroid impacts) with varying mean return times. Probabilistic Tsunami Hazard Analyses (PTHAs) are conducted in different areas of the world at global, regional, and local scales with the aim of assessing and mitigating tsunami risk and improving the early warning systems. The PTHAs enhance knowledge of the potential tsunamigenic threat by estimating the probability of exceeding specific characteristics of the tsunami intensities (e.g. run-up or maximum inundation heights) within a certain period of time (exposure time) at given locations (target sites); these estimates can be summarized in hazard maps or hazard curves. This discussion presents a broad overview of PTHA, including: (i) sources and mechanisms of tsunami generation, emphasizing the variety and complexity of the tsunami sources and their generation mechanisms; (ii) developments in modelling the propagation and impact of tsunami waves; (iii) statistical procedures for tsunami hazard estimates that include the associated epistemic and aleatoric uncertainties. Key elements in understanding the potential tsunami hazard are discussed, in light of the rapid development of PTHA methods during the last decade and the globally distributed applications, including the importance of considering multiple sources, their relative intensities, probabilities of occurrence and uncertainties in an integrated and consistent probabilistic framework.