We are pleased to announce the forthcoming release of Ginan version 3, a suite of open-source Global Navigation Satellite System (GNSS) software tools developed and maintained by Geoscience Australia in collaboration with industry and academia under the Positioning Australia program. Ginan serves as a precise point positioning (PPP) engine to produce real-time products that support high-precision positioning. Its versatility is demonstrated through its applicability to various geodetic and positioning activities, including computation of daily coordinate solutions, precise satellite orbit determination, computation of satellite clocks and biases, atmospheric modeling, and data quality assurance and quality control. These products effectively mitigate real-time errors associated with GNSS observations and are openly accessible as a centimeter-accurate correction service. The primary objectives of Ginan are: (1) showcase Australia's unique modelling and analytic systems for multi-GNSS real-time processing, delivering precise positioning products to both the Australian and international Positioning, Navigation, and Timing (PNT) community; (2) offer expert advice on navigation system performance over Australia; and (3) provide state-of-the-art GNSS analysis center software to universities and research organizations, thus fostering Australia's leadership in geospatial technology development. In this presentation, we will provide an overview of Ginan version 3, highlighting its new features, the current development status, and the strategic roadmap for its continued use as an operational service. We will provide examples of Ginan’s usefulness as a platform for research and innovation including its use as the processing engine for research into atmospheric anomalies from the Tonga volcano eruption through monitoring travelling ionospheric disturbances that could be used as early warning and tsunamigenic predictors for disaster risk and reduction; and observations of the Turkyia earthquake. The release of Ginan version 3 marks a significant advancement in GNSS data processing and positioning capabilities, contributing to the broader scientific community's understanding and utilization of geospatial technology. Abstract to be submitted to/presented at the American Geophysical Union (AGU) Fall Meeting 2023 (AGU23) - https://www.agu.org/fall-meeting

<div>FrontierSI has been engaged by Geoscience Australia (GA) to establish a series of case studies showcasing the benefits of Positioning Australia products and services through demonstrations of precise positioning capability. The Australian Institute of Marine Science (AIMS) was selected as the demonstration partner for this case study, contributing their extensive knowledge of current and future marine technologies and providing a suitably challenging environment for deployment of precise positioning solutions. This project investigates the available options for provision of precise global navigation satellite systems (GNSS) positioning at the AIMS Marine Operations Centre, and explores the suitability, benefits, and challenges of using Positioning Australia products including Ginan for this purpose.&nbsp;</div>

Ginan is Geoscience Australia’s Global Navigation Satellite System (GNSS) analysis centre software that delivers a real-time positioning correction service through an open-source software, and additional positioning products to enable precise point positioning for Australian industry and users.

The gnssanalysis Python package is designed to provide the public with a source of useful python functions and classes that help with processing of GNSS observations. The functionality found within the package includes: - reading of many standard file formats commonly used in the geodetic community including SP3, SNX, RNX, CLK, PSD, etc. into pandas dataframes (Also writing certain file formats) - transformation of data, for example datetime conversions, helmert inversions, rotations, transforming geodata from XYZ to longitude-latitude-altitude, etc. - functions for the download of standard files and upload to other sources (e.g. s3)