Wind multipliers are factors that transform regional wind speeds into local wind speeds, accounting for the local effects which include topographical, terrain and shielding influences. Wind multipliers have been successfully utilized in various wind related activities such as wind hazard assessment (engineering building code applications), event-based wind impact assessments (tropical cyclones), and also national scale wind risk assessment. The work of McArthur in developing the Forest Fire Danger Index (FFDI: Luke and McArthur, 1978) indicates that the contribution of wind speed to the FFDI is about 45% of the magnitude, indicating the importance of determining an accurate local wind speed in bushfire hazard and spread calculations. For bushfire spread modeling, local site variation (@ 100 metre and also 25 metre horizontal resolution) have been considered through the use of wind multipliers, and this has resulted in a significant difference to the currently utilized regional '10 metre height' wind speed (and further to the impact analysis). A series of wind multipliers have been developed for three historic bushfire case study areas; the 2009 Victorian fires (Kilmore fire), the 2005 Wangary fire (Eyre Peninsula), and the 2001 Warragamba - Mt. Hall fire (Western Sydney). This paper describes the development of wind multiplier computation methodology and the application of wind multipliers to bushfire hazard and impact analysis. The efficacy of using wind multipliers within a bushfire spread hazard model is evaluated by considering case study comparisons of fire extent, shape and impact against post-disaster impact assessments. The analysis has determined that it is important to consider wind multipliers for local wind speed determination in order to achieve reliable fire spread and impact results. From AMSA 2013 conference

Geoscience Australia has completed a re-development of Sentinel, from the infrastructure that supports the system through to the spatial technology and user-interface. These changes will allow Geoscience Australia to more easily integrate data from different platforms and sources as well as provide additional products through the Sentinel interface. The new Sentinel system was developed in consultation with stakeholders to ensure a close alignment between end-users needs and the services provided by Sentinel. This paper presents the key features of the new Sentinel.

Imagine you are an incident controller viewing a computer screen which depicts the likely spread of a bushfire that's just started. The display shows houses and other structures in the fire's path, and even the demographics of the people living in the area, such as the number of people, their age spread, whether households have independent transport, and whether English is their second language. In addition, imagine that you can quantify and display the uncertainty in both the fire weather and also the type and state of the vegetation, visualising the sensitivity of the expected fire spread and impact to these uncertainties. It will be possible to consider 'what if' scenarios as the event unfolds, and reject those scenarios that are no longer plausible. The advantages of such a simulation system in making speedy, well-informed decisions has been considered by a group of Bushfire CRC researchers who have collaborated to produce a 'proof of concept' for such a system, demonstrated initially on three case studies. The 'proof of concept' system has the working name FireDST (Fire Impact and Risk Evaluation Decision Support Tool). FireDST links various databases and models, including the Phoenix RapidFire fire prediction model and building vulnerability assessment models, as well as infrastructure and demographic databases. The information is assembled into an integrated simulation framework through a geographical information system (GIS) interface. Pre-processed information, such as factors that determine the local and regional wind, and also the typical response of buildings to fire, are linked through a database, along with census-derived social and economic information. This presentation provides an overview of the FireDST simulation 'proof of concept' tool and walks through a sample probabilistic simulation constructed using the tool. Handbook MODSIM2013 Conference

<div>This dataset was produced under Stream 1 - Work Package 4 of the 2021-23 Australian Research Data Commons (ARDC) Bushfire Data Challenge Project; a collaborative partnership between the ARDC, Geoscience Australia, and the Emergency Management Spatial Information Network. The Project’s aim was to bring together a single nationally consistent and harmonised historical bushfire boundary data derived from the authoritative state and territory agencies. Geoscience Australia's role within this project was to; negotiate access to the data, collate and transform the data into the National Standard and then deliver the 'Historical Bushfire Boundaries' data through a static file and a webservice.</div><div><br></div><div>More information about the ARDC Project and Work Package 4: <br>https://ardc.edu.au/program/bushfire-data-challenges/</div><div> More information about the Fire History Data Dictionary: <br>https://www.afac.com.au/insight/doctrine/article/current/fire-history-data-dictionary</div><div><br></div><div>The Historical Bushfire Boundaries dataset represents the aggregation of jurisdictional supplied burnt areas polygons stemming from the early 1900's through to 2022 (excluding the Northern Territory). The burnt area data represents curated jurisdictional owned polygons of both bushfires and prescribed (planned) burns. To ensure the dataset adhered to the nationally approved and agreed data dictionary for fire history Geoscience Australia had to modify some of the attributes presented.</div><div><br></div><div>The information provided within this dataset is reflective only of data supplied by participating authoritative agencies and may or may not represent all fire history within a state.</div><div><br></div><div><b>Important:</b> The Northern Australia Fire Information (NAFI) data has been intentionally omitted from this dataset (refer to Lineage).</div>

<div>The iconic Great Barrier Reef (GBR) World Heritage Area and adjacent Coral Sea Marine Park are under serious threat from global climate change. Given the increase in the frequency, intensity and severity of mass coral bleaching events associated with marine heatwaves (MHWs) in this region it is essential that we improve our understanding of the drivers and mechanisms underlying&nbsp;MHWs and the extent to which they impact both shallow and deeper coral reef ecosystems. This study used coarse-resolution and high-resolution sea surface temperature (SST) data to identify all major MHWs occurring in the GBR and Coral Sea region over the last three decades (1992-2022) and map significant MHW events over the past seven years (2015-2022), respectively. We then investigated the mechanisms of these MHWs in relation to both remote and local drivers through statistical and heat budget analyses. Finally, we identified potential coral reef refugia in this region using aerial-survey coral bleaching data and Autonomous Underwater Vehicle (AUV) images, and examined their underlying mechanisms using ocean model and <em>in-situ</em> oceanographic data. The results confirmed that MHWs in this region indeed increased in frequency, intensity and extent over the past three decades. El Niño, especially when it is in phase with positive Indian Ocean Dipole, was found to be the key remote driver leading to significant MHWs. However, the more recent strong MHWs also tend to occur without these climatic events, signifying the impacts of long-term climate change. We also found that reduced wind speed and shoaling mixed layer depth, often together with reduced cloudiness, which can occur with or without the influence of remote drivers, were the main local drivers pre-conditioning these MHWs.&nbsp;Anomalous air-sea heat flux into the ocean, which is mainly controlled by shortwave solar radiation (cloudiness) and latent heat flux (wind), was the most constant contributor to the 2015-16 and 2019-20 MHW events. However, local oceanographic dynamics, especially horizontal advection and turbulent mixing, played important roles in local MHW heat budgets. Importantly, this study confirms that shallow-water coral bleaching severity was indeed positively related to the cumulative MHW intensity in the 2015-16 and 2019-20 MHWs. We identified the shallow reefs in the northern GBR along the path of the North Queensland Current as potential coral reef refugia from bleaching because of the up to 2 oC thermal relief that the ocean current provides. We also found that, except during abnormal weather events such as tropical cyclones, the mesophotic reefs in the Coral Sea Marine Park may also act as potential coral reef refugia from bleaching because of the thermal protection provided by the shallow mixed layer depth.</div><div> <b>Citation:</b> Zhi Huang, Ming Feng, Steven J. Dalton, Andrew G. Carroll, Marine heatwaves in the Great Barrier Reef and Coral Sea: their mechanisms and impacts on shallow and mesophotic coral ecosystems, <i>Science of The Total Environment</i>, Volume 908, 2024, 168063, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2023.168063.

Geoscience Australia conducted a marine survey to provide seabed environmental information to support the assessment of the CO2 storage potential of the Vlaming Sub-Basin. The survey was undertaken under the Australian Government's National CO2 Infrastructure Plan (NCIP) to help identify sites suitable for the long term storage of CO2. The major aim of this survey was to look for evidence of any gas fluid seepage at the seabed and wether the location had faults that have been identified in a number of seismic lines. The survey also mapped seabed biota in the area of interest to indentify any biota communities that are related with seepage. This research addresses key questions of the regional seal integrity of the Southern Perth Shale and the potential for storing of CO2 in the Early Cretaceous Gage Sandstone. The survey was conducted by Fugro's Southern Supporter in the Vlaming Sub-Basin, North and South of Rotnest Island between the period of the 17th of March to the 20th of April 2012. Shallow seismic sub bottom profiler data were acquired as well as high resolution multibeam bathymetry and backscatter data during the survey. This dataset is not to be used for navigational purposes.<p><p>This dataset is not to be used for navigational purposes.

<div>The Great Barrier Reef (GBR) World Heritage Area and adjacent Coral Sea Marine Park are under serious threat from global climate change. This study used sea surface temperature (SST) data to identify major marine heatwaves (MHWs) occurring in this region over the last three decades (1992–2022) and to map significant MHW events that have occurred between 2015 and2022. We investigated the mechanisms of the MHWs and identified potential coral refugia. MHWs in this region have increased in frequency, intensity and spatial extent. El Niño, especially when it is in phase with positive Indian Ocean Dipole, was the key remote driver leading to intense MHWs. However, the more recent strong MHWs (e.g., 2017 and 2022) occurred without these climatic events, signifying the impacts of long-term climate change and local drivers. We also found that reduced wind speed and shoaling mixed layer depth, often together with reduced cloudiness, were the main local drivers pre-conditioning these MHWs.&nbsp;Anomalous air-sea heat flux into the ocean, mainly controlled by shortwave solar radiation (cloudiness) and latent heat flux (wind), was the most constant contributor to the 2015–16 and 2019–20 MHW events. However, local oceanographic dynamics, especially horizontal advection and turbulent mixing, played important roles in MHW heat budgets. This study confirmed that shallow-water coral bleaching severity was positively related to the cumulative MHW intensity in these two MHWs. We identified the shallow reefs along the path of the North Queensland Current as potential coral refugia from bleaching because of the cooler waters upwelled from the ocean current. We also found that, except during abnormal weather events such as tropical cyclones, the mesophotic reefs in the Coral Sea Marine Park may be less susceptible to severe bleaching as the MHWs are more confined within the shallow mixed layer.</div> Presented at the 30th Conference of the Australian Meteorological and Oceanographic Society (AMOS) 2024

Monitoring is a regulatory requirement for all carbon dioxide capture and geological storage (CCS) projects to verify containment of injected carbon dioxide (CO2) within a licensed geological storage complex. Carbon markets require CO2 storage to be verified. The public wants assurances CCS projects will not cause any harm to themselves, the environment or other natural resources. In the unlikely event that CO2 leaks from a storage complex, and into groundwater, to the surface, atmosphere or ocean, then monitoring methods will be required to locate, assess and quantify the leak, and to inform the community about the risks and impacts on health, safety and the environment. This paper considers strategies to improve the efficiency of monitoring the large surface area overlying onshore storage complexes. We provide a synthesis of findings from monitoring for CO2 leakage at geological storage sites both natural and engineered, and from monitoring controlled releases of CO2 at four shallow release facilities - ZERT (USA), Ginninderra (Australia), Ressacada (Brazil) and CO2 field lab (Norway).

<div>The Trusted Environmental and Geological Information (TEGI) Program (2021-2023) was a multi-disciplinary program that brought together the geology, energy resources, groundwater, carbon and hydrogen storage, mineral occurrences, surface water and ecology for four Australian basin regions. This talk covers how the team leveraged their varied scientific expertise to deliver integrated scientific outcomes for the North Bowen, Galilee, Cooper and Adavale basin regions. This talk highlights the approach and importance of meaningful engagement with those that live in, work in, rely on and care for the regions. The story of the TEGI program outlines how a committed team, collaborating across Australia’s leading scientific organisations, delivered genuine impact during a time of political change.</div><div><br></div>

The dry-tropics of central Queensland has an annual bushfire threat season that generally extends from September to November. Fire weather hazard is quantified using either the Forest Fire Danger Index (FFDI) or the Grassland Fire Danger Index (GFDI) (Luke and McArthur, 1978). Weather observations (temperature, relative humidity and wind speed) are combined with an estimate of the fuel state to predict likely fire behaviour if an ignition eventuates. A high resolution numerical weather model (dynamic downscaling) was utilised to provide spatial texture over the Rockhampton region for a range of historical days where bushfire hazard (as measured at the Rockhampton Airport meteorological station) was known to be severe to extreme. From the temperature, relative humidity and wind speeds generated by the model, the maximum FFDI for each simulated day was calculated using a maximum drought factor. Each of these FFDI maps was then normalised to the value of the FFDI at the grid point corresponding to Rockhampton Airport (ensemble produced). The annual recurrance interval (ARI) of FFDI at Rockhampton Airport for the current climate was calculated from observations by fitting Generalised Extreme Value (GEV) distributions. For future climate, we considered three downscaled General Circulation Models (GCM's) forced by the A2 emission scenario for atmospheric greenhouse gas emissions. The spatial pattern of the 50 and 100 year ARI fire danger rating for the Rockhampton region (current and future climate) was determined. In general, a small spatial increase in the fire danger rating is reflected in the ensemble model average for the 2090 climate. This is reflected throughout the Rockhampton region in both magnitude and extent through 2050 to 2090. Cluster areas of higher (future climate) bushfire hazard were mapped for planning applications. Handbook MODSIM2013 Conference