Statistical Modeling of the Ocean Environment

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Authors: Erik Vanem, Sheng Dong, Guillaume de Hauteclocque, Thomas B. Johannessen, Tingyao Zhu, Jasna Prpić-Oršić, Sanne van Essen, Kevin Ewans, Ed MacKay, Philip Jonathan
Cited by: 2
References: 141

Abstract

Statistical modeling of the ocean environment is important for many practical applications in science and engineering. Probabilistic descriptions of the ocean environment are important input for structural design and risk assessment of marine structures, including ships, offshore and coastal structures, and aquaculture installations. They are also essential for the safe operation of ships and other structures at sea. Additionally, they are critical for planning and decision-making in the exploitation of marine renewable energy sources such as waves, tides, and offshore wind. This article presents a review of recent developments with regard to statistical modeling of the ocean environment, with a particular focus on ocean waves. Such developments are driven by an increasing volume of available data, increasing computational capabilities, and demand from the industry for more accurate and uncertainty-aware descriptions of relevant oceanic variables. Hence, statistical modeling of the ocean environment remains an active area of research, with significant developments in various directions. These are reviewed in this article.

Fields of Study & Subjects

Ocean Waves and Remote Sensing Ship Hydrodynamics and Maneuverability Probabilistic and Robust Engineering Design

Publication details

Journal / source
Annual Review of Statistics and Its Application
Publisher
Annual Reviews
Volume
13
Issue
1
Pages
1–28
Publication date
9 March 2026
Language
EN