Representative Storm Selection Tool: An Automated Procedure for the Selection of Representative Storm Events from a Probabilistic Database
Abstract
PURPOSE: This Coastal and Hydraulics Engineering Technical Note (CHETN) presents and documents the Representative Storm Selection Tool (RSST), a utility that automates much of the analysis necessary to perform the identification and selection of representative storms outlined in Gravens and Sanderson (2018). The ability to easily select representative storms and calculate the relative probabilities will significantly speed up workflow for users developing representative storm suites for use in probabilistic life-cycle analysis (PLCA) models, such as Beach-fx (Gravens et al. 2007) and Generation Two Coastal Risk Model (G2CRM) (currently under development at the U.S. Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory [ERDC-CHL] and Institute for Water Resources [IWR]). BACKGROUND: As summarized in Gravens and Sanderson (2018), the need for a robust representative storm suite is critical for the development of environmental forcing input to PLCA models. PLCA models such as Beach-fx and G2CRM are data-driven models that rely on relational databases that are accessed from within the models computational kernel. These relational databases contain storm responses required by the PLCA models (e.g., in Beach-fx, the beach profiles morphological response to storm events). Because PLCA models do not compute responses as a part of their run time, these relational databases must contain all of the response data that are expected to occur over a projects simulated life cycle. For example, in Beach-fx this often results in a single beach profile containing on the order of 200 unique pre-storm upper beach configurations.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 14, 2018
- Accession Number
- AD1064160
Entities
People
- Dylan Sanderson
- Mark Gravens
Organizations
- Engineer Research and Development Center