From Offshore to Onshore probabilistic tsunami hazard assessment with quantified uncertainty efficient Monte Carlo techniques  


Authors / CoAuthors

Davies, G. | Griffin, J. | Ricardo, K.

Abstract

<div>This is for submission to the 2022 ICCE Conference: https://icce2022.com/</div> This Abstract was submitted/presented to the 2022 International Conference on Coastal Engineering (ICCE) 04-09 December (https://icce2022.com/)

Product Type

document

eCat Id

147134

Contact for the resource

  Resource provider

 

  Point of contact

Commonwealth of Australia (Geoscience Australia)  
Cnr Jerrabomberra Ave and Hindmarsh Dr GPO Box 378
Canberra
ACT
2601
Australia

  Point of contact

 

Keywords

  • Tsunami
  • hazard
  • statistics
theme.ANZRC Fields of Research.rdf
  • Other earth sciences not elsewhere classified
  • Published_Internal

Publication Date

2023-03-20T04:52:16

Creation Date

2022-08-13T06:00:00

Security Constraints

Australian Government Security Classification System    

Classification - unclassified

Legal Constraints

Creative Commons Attribution 4.0 International Licence    

Use - license otherRestrictions

Status

completed

Purpose

The extended abstract will be included in the conference proceedings (unless I write a full paper after the conference, which is likely).

Maintenance Information

notPlanned

Topic Category

geoscientificInformation

Series Information

International Conference on Coastal Engineering (ICCE) 04-09 December 2022 Sydney NSW

Lineage

<div>Developed by author to support attendance at ICCCE conference</div>

Parent Information

Extents

[-54.75, -9.2402, 112.92, 159.11]

Reference System

Spatial Resolution

Service Information

Associations

Association Type - wasDerivedFrom

From Offshore to Onshore probabilistic tsunami hazard assessment with quantified uncertainty efficient Monte Carlo techniques.    

eCat Identifier - 147709,

UUID - c4b7f99b-1dfe-419d-97d3-f393cef81658

Downloads and Links

Link to Abstract  

Source Information