The potential for the use of model fusion techniques in building and developing catastrophe models
chapter
posted on 2015-07-06, 15:19authored byK.R. Royse, John HillierJohn Hillier, A. Hughes, A. Kingdon, A. Singh, Lei Wang
Global economic losses related to natural hazards are large and increasing, peaking at
US$380 billion in 2011 driven by earthquakes in Japan and New Zealand and flooding in Thailand.
Catastrophe models are stochastic event-set based computer models, first created 25 years ago, that
are now vital to risk assessment within the insurance and reinsurance industry. They estimate likely
losses from extreme events, whether natural or man-made. Most catastrophe models limit the level
of user interaction, stereotyped as ‘black boxes’. In this paper we investigate how model fusion
techniques could be used to develop ‘plug and play’ catastrophe models and discuss the impact
of open access modelling on the insurance industry and other stakeholders (e.g. local government).
Funding
This paper is published with the permission of the
Executive Director of the British Geological Survey. The
work was funded under the NERC PURE research consortium
and forms part of K. R. Royse’s NERC KE
Fellowship.
History
School
Social Sciences
Department
Geography and Environment
Published in
Integrated Environmental Modelling to Solve Real World Problems: Methods, Vision and Challenges
Special Publications
Volume
408
Pages
1 - 11
Citation
ROYSE, K.R. ... et al, 2016. The potential for the use of model fusion techniques in building and developing catastrophe models. IN: Riddick, A.T., Kessler, H. and Giles, J.R.A. (eds). Integrated Environmental Modelling to Solve Real World Problems: Methods, Vision and Challenges. London: Geological Society of London, pp. 89-99.
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