Tropical Cyclone Risk Model
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.
Simple
Identification info
- Date (Publication)
- 2014-01-01T00:00:00
- Citation identifier
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Geoscience Australia Persistent Identifier/https://pid.geoscience.gov.au/dataset/ga/77484
- Cited responsible party
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Role Organisation / Individual Name Details Publisher Geoscience Australia
Canberra Author Arthur, W.C.
1 Author Summons, N.W.
2 Author Roberts, D.
3 Author Habili, N.
4
- Point of contact
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Role Organisation / Individual Name Details Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Point of contact Hu, L.
Place and Communities Internal Contact
- Topic category
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- Geoscientific information
- Maintenance and update frequency
- As needed
- Keywords
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Software
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- Theme
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hazards
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- Theme
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numerical modelling
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- Theme
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wind
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- Australian and New Zealand Standard Research Classification (ANZSRC)
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Natural Hazards
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- Keywords
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Published_External
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Resource constraints
- Title
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Creative Commons Attribution 4.0 International Licence
- Alternate title
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CC-BY
- Edition
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4.0
- Access constraints
- License
- Use constraints
- License
Resource constraints
- Title
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Australian Government Security ClassificationSystem
- Edition date
- 2018-11-01T00:00:00
- Classification
- Unclassified
- Language
- English
- Character encoding
- UTF8
Distribution Information
- Distributor contact
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Role Organisation / Individual Name Details Distributor Commonwealth of Australia (Geoscience Australia)
Voice
- OnLine resource
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Link to software
Link to software
- Distribution format
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html
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Resource lineage
- Statement
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Unknown
- Hierarchy level
- Software
- Other
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Software
- Description
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Source data not available.
Metadata constraints
- Title
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Australian Government Security ClassificationSystem
- Edition date
- 2018-11-01T00:00:00
- Classification
- Unclassified
Metadata
- Metadata identifier
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urn:uuid/e601ee96-3292-1bda-e044-00144fdd4fa6
- Title
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GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
- Contact
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Role Organisation / Individual Name Details Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Owner Arthur, C.
Place and Communities Internal Contact Point of contact Hu, L.
Place and Communities Internal Contact
Type of resource
- Resource scope
- Software
- Name
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software
Alternative metadata reference
- Title
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Geoscience Australia - short identifier for metadata record with
uuid
- Citation identifier
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eCatId/77484
- Metadata linkage
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https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/e601ee96-3292-1bda-e044-00144fdd4fa6
- Metadata linkage
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https://ecat.ga.gov.au/geonetwork/ofmj3/eng/catalog.search#/metadata/e601ee96-3292-1bda-e044-00144fdd4fa6
- Date info (Revision)
- 2018-04-22T08:48:38
- Date info (Creation)
- 2013-09-10T00:00:00
Metadata standard
- Title
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AU/NZS ISO 19115-1:2014
Metadata standard
- Title
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ISO 19115-1:2014
Metadata standard
- Title
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ISO 19115-3
- Title
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Geoscience Australia Community Metadata Profile of ISO 19115-1:2014
- Edition
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Version 2.0, September 2018
- Citation identifier
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https://pid.geoscience.gov.au/dataset/ga/122551