Statistical Modeling of the Ocean Environment

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.

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Publication Details

Journal
Annual Review of Statistics and Its Application
Published
2026-03-09
DOI
https://doi.org/10.1146/annurev-statistics-042424-115755
Primary Topic
Ocean Waves and Remote Sensing
Type
article
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article

Statistical Modeling of the Ocean Environment

Guillaume de Hauteclocque, Ed MacKay, Sanne van Essen, Thomas B. Johannessen et al.
Annual Review of Statistics and Its Application
Ocean Waves and Remote Sensing
article

Statistical Modeling of the Ocean Environment

Guillaume de Hauteclocque, Ed MacKay, Sanne van Essen, Thomas B. Johannessen, S.J. Dong, Erik Vanem, Tingyao Zhu, Philip Jonathan, Jasna Prpić-Oršić, Kevin Ewans
article en

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.

Annual Review of Statistics and Its ApplicationVol. 13(1)
University of Rijeka (HR), The University of Melbourne (AU), DNV (Norway) (NO), University of Exeter (GB), Bureau Veritas (France) (FR), Maritime Research Institute Netherlands (NL), Australian Urban Research Infrastructure Network (AU), Ocean Energy (Norway) (NO), Ocean University of China (CN), Lancaster University (GB), ClassNK (JP), Delft University of Technology (NL)
Openalex Percentile: Top 40%
Ocean Waves and Remote Sensing
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