This relates to the release of ANUGA as open-source software. No abstract required. See http://sourceforge.net/projects/anuga/

Generic Geoscience Australia, web based, external database entry kit

No abstract available

The Tropical Cyclone Risk Model (TCRM) is a statistical-parametric model of tropical cyclone behaviour and effects. A statistical model is used to generate synthetic tropical cyclone events. This is then combined with a parametric wind field model to produce estimates of cyclonic wind hazard.

This software suite has been under development since 1969 and is stored as a file system under /nas/pmd/prg/. It consists of source code for geophysical software written for processing tasks which cannot be accomplished using commercially licensed software accessible to GA. The majority of this software is written in Fortran, Perl, Python, awk and Visual Basic programming languages designed to run on Unix, Linux, Windows and Vax/VMS operating systems. At the date of this entry the collection has 1390 inventoried computer programs and 263,000 lines of code. The source code contains standardised headers following guidelines developed by GA's Programmer User Group (and fits with ISO 19115), and this allows the collection to be discovered and delivered via a web-based seach tool (see links). Current contributors are listed as authors of this metadata entry, however past employees and others are noted with the standard author header for each item of software.

The GA Animator Software is a tool used to create high quality fly-through animations of geoscience data for internal and external stakeholders. It is build using the NASA World Wind Java SDK, as a companion tool to the publicly available 3D Data Viewer.

Generalised Data Framework (GDF) The Generalised Data Framework is a High Performance Data (HPD) research project conducted within the Geoinformatics and Data Services Section of GA.

No abstract available

The High Quality Geophysical Analysis (HiQGA) package is a fully-featured, Julia-language based open source framework for geophysical forward modelling, Bayesian inference, and deterministic imaging. A primary focus of the code is production inversion of airborne electromagnetic (AEM) data from a variety of acquisition systems. Adding custom AEM systems is simple using Julia’s multiple dispatch feature. For probabilistic spatial inference from geophysical data, only a misfit function needs to be supplied to the inference engine. For deterministic inversion, a linearisation of the forward operator (i.e., Jacobian) is also required. HiQGA is natively parallel, and inversions from a full day of production AEM acquisition can be inverted on thousands of CPUs within a few hours. This allows for quick assessment of the quality of the acquisition, and provides geological interpreters preliminary subsurface images of EM conductivity together with associated uncertainties. HiQGA inference is generic by design – allowing for the analysis of diverse geophysical data. Surface magnetic resonance (SMR) geophysics for subsurface water-content estimation is available as a HiQGA plugin through the SMRPInversion (SMR probabilistic inversion) wrapper. The results from AEM and/or SMR inversions are used to create images of the subsurface, which lead to the creation of geological models for a range of applications. These applications range from natural resource exploration to its management and conservation.

The majority of boundaries submitted to the Australian Exposure Information Platform (AEIP) process relatively quickly, usually under 20 minutes. Occasionally however, very complex boundaries are submitted that cause processing issues. The intent of this document is to, at a high-level, highlight the various types of complex boundaries and geometry errors that cause processing issues and offer solutions to improve the turnaround time for Exposure Report production.