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The Australian Identification, Nowcasting and Tracking Algorithm (A.I.N.T.) | Synapse

October 3, 2025Open Access

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The Australian Identification, Nowcasting and Tracking Algorithm (A.I.N.T.)

Key Points

The project outlines the basic functionality of the modified TINT package, aimed at industry-specific applications.
A new database was created to support industry partners, enhancing accessibility to data processed by TINT.
Modifications made to TINT improved its performance and usability, making it more relevant for current industry needs.
The reliance on the TINT package suggests its significance in fulfilling various analytical and operational requirements.

Abstract

This is a reupload of an industry funded research project description from 2019. The project heavily relied upon the TINT is not Titan package (TINT, available at https://github.com/openradar/TINT). This document details the modifications made to TINT and its basic functionality, along with the a description of the resulting database created for industry partners.

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Cite This Study

Brook et al. (Wed,) studied this question.

synapsesocial.com/papers/68e034f7f0e39f13e7fa2fcb https://doi.org/https://doi.org/10.48550/arxiv.2509.02929