Title

Assessing hurricane effects. Part 1. Sensitivity analysis

Authors

Authors

R. L. Iman; M. E. Johnson;T. A. Schroeder

Comments

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Abbreviated Journal Title

Reliab. Eng. Syst. Saf.

Keywords

sensitivity analysis; uncertainty analysis; Latin hypercube sampling; damage function; loss cost; hurricane; Rankine-vortex; Saffir-Simpson; scale; MODEL OUTPUT; UNCERTAINTY; Engineering, Industrial; Operations Research & Management Science

Abstract

The Florida Commission on Hurricane Loss Projection Methodology (FCHLPM) performs an annual review of computer models that have been submitted by vendors for use in insurance rate filling in Florida. As part of the review process and to comply with the Sunshine Law, the FCHLPM employs a Professional Team to perform onsite (confidential) audits of these models. Members of the Professional Team represent the fields of actuarial science, computer science, meteorology, statistics and wind and structural engineering. The audit includes an assessment of modeler's compliance to a set of standards and modules established by the FCHLPM. One part of these standards requires the conduct of uncertainty and sensitivity analyses to the proprietary model. At the completion of the audit, the professional team provides a written report to the FCHLPM, who ultimately judges compliance by a vendor to the standards. To influence future such analyses, the Professional Team conducted a demonstration uncertainty and sensitivity analysis for the FCHLPM using a Rankine-vortex hurricane wind field model and surrogate damage function. This is the first of a two-part article presenting the results of those analyses. Part I presents sensitivity analysis results for wind speed and loss cost, while Part 2 presents the corresponding uncertainty analysis results. (C) 2002 Elsevier Science Ltd. All rights reserved.

Journal Title

Reliability Engineering & System Safety

Volume

78

Issue/Number

2

Publication Date

1-1-2002

Document Type

Article

Language

English

First Page

131

Last Page

145

WOS Identifier

WOS:000178956200006

ISSN

0951-8320

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