Work

Measuring Ocean Surface Waves

Year: 2026
Type: article
Abstract: Propagating waves on the ocean surface can be represented as a stochastic process whose statistics are characterized by a spectrum. This paper reviews methods for measuring the wave spectrum and related quantities. Observations begin by sensing fluid dynamical properties of the sea surface over space and/or time. Visual observations, collected routinely since the mid‐18th century, comprise the longest‐running wave record. Nearshore measurement methods continue to advance, including traditional pressure and acoustic sensing as well as newer technologies like distributed acoustic sensing and LiDAR. Detailed small‐scale wave physics can now be explored with measurement techniques using light, including stereo‐imaging and polarimetry. Reductions in the size, cost, and power consumption of microelectronics have propagated through ocean wave instrumentation, most notably in wave buoys. Global networks of freely drifting miniature wave buoys offer novel observational capabilities. Remote sensing techniques based on radar and LiDAR continue to evolve and are widely deployed from land, ships, aircraft, autonomous vehicles, and satellites. Spaceborne altimeters form one of the most important records of wave height, and new spaceborne sensors now observe directional spectra globally with sampling akin to traditional altimetry. Aircraft and autonomous systems provide strategic sampling capabilities for detailed process studies and access to extreme storm environments. The quality and quantity of ocean wave measurements have never been greater. This review aims to help make sense of it all.
Institutions: United States Army Corps of Engineers, The University of Melbourne, United States Army, U.S. Army Engineer Research and Development Center, University of Puerto Rico-Mayaguez, University of California San Diego, Istituto di Scienze Marine del Consiglio Nazionale delle Ricerche, National Research Council, Ca' Foscari University of Venice, University of Bath, Centre National de la Recherche Scientifique, Université de Bordeaux, Environnements et Paléoenvironnements Océaniques et Continentaux, Institut Polytechnique de Bordeaux, Norwegian Meteorological Institute, University of Bergen, University of Oslo, Scripps Institution of Oceanography, University of Victoria, Oregon State University, Tel Aviv University, Institute of Oceanology. PP Shirshov Russian Academy of Sciences, Institut National des Sciences de l'Univers, Laboratoire atmosphères, milieux, observations spatiales, Sofar Ocean (United States), National Taiwan University, University of New Hampshire, University of Miami, LIttoral ENvironnement et Sociétés, La Rochelle Université, The University of Tokyo, University of Oxford, Technical University of Munich, Rutgers, The State University of New Jersey, Defence Science and Technology Group, Woods Hole Oceanographic Institution, Japan Agency for Marine-Earth Science and Technology, National Oceanography Centre, Port and Airport Research Institute, University of Washington, University of Washington Applied Physics Laboratory, University of Sheffield, Korea Institute of Ocean Science and Technology, Lamont-Doherty Earth Observatory, Columbia University, National Oceanic and Atmospheric Administration, NOAA Pacific Marine Environmental Laboratory, Cooperative Institute for Climate, Ocean, & Ecosystem Studies
Language: English
Subfield: Oceanography
Open Access status: green
OpenAlex ID: W4411800652
FWCI: 4.828
Cites: 703
Cited by: 5
Related to: 10