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Tropical Cyclone Risk Model

ARCHIVED

Created 13/01/2025

Updated 13/01/2025

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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.

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Additional Info

Field Value
Title Tropical Cyclone Risk Model
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/54d15841-535e-43e5-9e8a-195080449701
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 22/04/2018
Geospatial Coverage http://www.ga.gov.au/place-names/PlaceDetails.jsp?submit1=GA1
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Tropical Cyclone Risk Model". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/tropical-cyclone-risk-model

Original dataset
  • ARCHIVED

    Tropical Cyclone Risk Model

    Geoscience Australia

    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...

    Dataset updated: 13/01/2025

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No duplicate datasets found.