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  • EarthSci is an Eclipse RCP platform for creating applications for the visualisation of earth science data. It is an evolution of the existing GA World Wind Suite built on the NASA World Wind Java SDK. The vision for EarthSci is to take the best features of the GA World Wind Suite (Geological model support, WMS/WFS support, tiled data preparation, keyframe animation etc.) and combine them with the best features of the Eclipse platform (modular plugin architecture, in-built help, native windowing, model-based UI) to create a flexible platform with powerful science visualisation features. As development progresses more and more features will be added. https://github.com/GeoscienceAustralia/earthsci

  • Python code for running resistor network models to relate permeability and electrical resistivity

  • Upgrade for software package for geochemical modelling released in 1999. Available from OEMD on request to Evgeniy Bastrakov (a password is set for a particular user).

  • Software to calculate the Australian Geomagnetic Reference Field, a regional geomagnetic field model for the Australian region for the period 1995 to 2005

  • GA's 3D DataViewer, built off GA's EarthSci platform.

  • The Quick Attribute Calculator v.1.0 is a toolbar developed for use with ArcGIS 9.3 on Windows XP. It enables a user to select an attribute from a drop-down list and change the value of a sub-set for bulk updates.

  • RICS (Rapid Inventory Collection System) is a vehicular data collection system. It collects geo-tagged imagery and user added property damage-level information. The system consists of Ethernet cameras, tripods, circuitry and the RICS software that runs on a laptop. It was successfully deployed following the 2009 Victorian Bushfires, the 2010 Kalgoorlie and Christchurch Earthquakes, the 2011 Brisbane floods and TC Yassi.

  • A stand-alone component of HCh for Windows computer package: thermodynamic database management system + the default database.

  • Turned off due to lack of metadata, custodian and product is un-locatable

  • The Tropical Cyclone Risk Model (TCRM) is a stochastic modelling system intended for the evaluation of hazard and risk associated with tropical cyclones, specifically focused on wind hazard. It allows users to simulate a large (order thousands of years) catalogue of tropical cyclone events that are statistically similar to the historical tropical cyclone record (or other input tropical cyclone records). TCRM has been used to evaluate wind hazard at local and regional scales to inform risk assessments and multi-hazard mapping exercises. By using data extracted from global climate models, TCRM can also be used to evaluate future changes in TC hazard and risk. Users can also simulate single TC events to evaluate impacts in near-real time to inform emergency management and response activities. The TCRM code is written in Python, and can be executed on a range of computing architectures - massively parallel systems (e.g. NCI National Facility) to desktop computers - and operating systems (currently Windows and *NIX systems). By carefully designing and developing the software, we have accommodated a wide audience of potential users.