Posters

Abstract

This study presents a simple, practical workflow that uses KHOA metocean data from 2019–2024 to turn raw text files into continuous, real-valued X–Y scatter plots and return-period extreme conditions for floating offshore wind on Korea’s southwestern coast. The tool loads multiple files at once, detects encoding automatically, and parses mixed spaces/tabs robustly. It then auto-identifies significant wave height (Hs), zero-crossing period (Tz), wind speed (Ws), and direction, and applies quality control (header clean-up, numeric conversion, dropping columns that are entirely missing). Instead of “bin-and-count,” it plots the actual observations as points, preserving distribution shape. with GUI support for axis selection, zoom, and filtering. For statistics, POT–GPD is used to estimate 50- and 100-year return levels, with threshold checks and bootstrap uncertainty. Cases where variables increase together are summarized with conditional quantile curves and an environmental boundary (contour) that follows high-probability regions to select representative combinations. Outputs (plots and tables) are written to a single Excel file, and can be optionally mapped to IEC 61400-3-1 DLCs to assemble candidate design sea states. The workflow reduces binning bias and supports transparent, observation-based decisions from local measurements to design inputs.