Storm Recurrence Rate Models for Tropical Cyclones: Report 1
Abstract
Quantification of the storm surge hazard is an integral part of the probabilistic flood hazard assessment of structures and facilities located in coastal areas. The U.S. Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory (ERDC-CHL), performed a comprehensive assessment of uncertainties in probabilistic storm surge models for the U.S. Nuclear Regulatory Commission (USNRC) as part of its efforts to develop a framework for probabilistic storm surge hazard assessment for nuclear power plants. State-of-the-art statistical assessment of coastal storm hazards in hurricane-prone coastal areas requires the development of a joint probability model of tropical cyclone (TC) forcing parameters. The task summarized in this technical report focused on the quantification of epistemic uncertainties in storm recurrence rate (SRR) models and associated data sources. SRR is an estimate of the expected annual rate of occurrence of TCs within a given region. Numerical experiments were performed to quantify SRR uncertainty associated with data sampling, observational data quality, selection of kernel function and kernel size, period of record, quality of observational data, and partition of TCs according to their intensity. This technical report is the first of a series covering the USNRC-sponsored study Quantification of Uncertainties in Probabilistic Storm Surge Models performed by the ERDC CHL.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 28, 2019
- Accession Number
- AD1073835
Entities
People
- Luc Chouinard
- Norberto C. Nadal-Caraballo
- Victor M. Gonzalez
Organizations
- Engineer Research and Development Center
- McGill University