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  • Many scientific talks by Geoscience Australia staff are published on YouTube. These documents provide summaries (‘crib sheets’) of the presentations along with easy access links to each part of the video. They are intended to help teachers of Year 11/12 classes learning about natural hazards

  • Understanding disaster risk enables Government, industry and the community to make better decisions on how to prepare for disasters and improve the resilience of communities. Geoscience Australia develops and provides fundamental data and information to understand disaster risk so that we can determine how hazards impact the things that are valuable to us.

  • The Australian National Exposure Information System (NEXIS) collates the best publicly-available information, statistics, spatial and survey data into comprehensive and nationally-consistent exposure information datasets. Where data is limited, models are used to apply statistics based on similar areas. Exposure Information products are created at the national, state or local level to understand the elements at risk during an event or as a key input for analysis in risk assessments. <b>Value: </b>NEXIS products are not intended for operational purposes at the building or individual feature level. Its strength is to provide consistent aggregated exposure information for individual event footprints or at standard community, local, state and national geographies such as the Australian Bureau of Statistics (ABS) Statistical Areas (SA) or Local Government Areas (LGA). <b>Scope: </b>National detailed exposure information of the number of people, dwellings, other buildings and structures, businesses, agricultural and environmental assets. Further information can be found at the following URL: https://www.ga.gov.au/scientific-topics/community-safety/risk-and-impact/nexis

  • The collection of products released for the 2018 National Tropical Cyclone Hazard Assessment (TCHA18). - 2018 National Tropical Cyclone Hazard Assessment - 2018 National Tropical Cyclone Hazard Assessment Stochastic Event Catalogue - 2018 National Tropical Cyclone Hazard Assessment Hazard Map - Tropical Cyclone Risk Model

  • Activity for secondary and senior secondary students examining a hypothetical city and its vulnerability to volcanic hazard risk. Includes background information for teachers, PowerPoint presentation, student activity sheet and worked answers.

  • A mini-poster on GA's capability in tsunami hazard modelling.

  • As part of the 2018 Tropical Cyclone Hazard Assessment (TCHA), we compiled the geospatial raster dataset that can be accessible to internal and external users via ArcGIS online and can be integrated for building additional geoprocessing applications. This web service gives more stable and easy access to data and interactive maps. With having separate geospatial layers for each recurrence interval- i.e. 5 through 10000 years, users can toggle between the layers and evaluate the changes in wind speed (km/hr) and potential areas at risk on the fly.

  • An evaluation of the likelihood of tropical cyclone-related extreme winds, incorporating local effects on wind speed.

  • Geoscience Australia has produced a National Tropical Cyclone Hazard Assessment (TCHA18). The 1%/0.2% Annual Exceedance Probability Maps provides 0.2-second duration, 10-metre above ground level gust wind speeds across Australia arising from tropical cyclone events over a 2-km grid, for 1% and 0.2% annual exceedance probability (100- and 500-year annual recurrence interval respectively). Surface conditions are assumed to correspond to terrain category 2 conditions as defined in AS/NZS 1170.2 (2011).

  • Data used to generate the National Seismic Hazard Assessments (NSHA). Data includes: original and modified earthquake catalogues, earthquake rate models, probabilistic seismic hazard outputs. The most recent assessment was completed in 2018 and can be viewed on Geoscience Australia's <a href="http://www.ga.gov.au/about/projects/safety/nsha">National Seismic Hazard Assessment (NSHA) Internet Page</a> <b>Value: </b> Data used to generate the NSHA <b>Scope: </b>Continental scale