Chapter 16 - Wind, Wave, and Current Retrieval Utilizing X-Band Marine Radars

https://doi.org/10.1016/B978-0-12-802022-7.00016-XGet rights and content

Abstract

Since the 1980s, several methodologies have been developed to measure ocean surface wind, waves, and currents using standard marine radars operating at X-band. Today, marine radars are often used operationally to measure the spectral quantities of ocean surface waves. They also have shown to be very useful to measure surface winds and currents as well as bathymetry. Within this chapter, a brief review is given on the most common methods utilized to retrieve wind, currents, and waves. Therefore, a brief introduction on ocean surface backscattering at grazing incidence, as well as the physical basis of the applied methods, is given. Furthermore, the main processing steps of the retrieval methods are introduced and applied to some examples. To show the overall performance of the methodologies, the radar-retrieved parameters are compared to well-accepted measurement techniques. Finally, the limitations of the different radar measurement techniques are discussed.

References (0)

Cited by (20)

  • Estimation of the nearshore bathymetry from high temporal resolution Sentinel-1A C-band SAR data - A case study

    2019, Remote Sensing of Environment
    Citation Excerpt :

    Today, marine radars are often used operationally to measure the spectral quantities of ocean surface waves. They also have shown to be very useful to measure surface winds and currents as well as bathymetry (Horstmann et al., 2015). Spaceborne synthetic aperture radar (SAR) imaging is particularly suitable for these coastal applications because of its high resolution, global coverage, and daylight and weather independency.

  • On Characterizing Ocean Kinematics from Surface Drifters

    2022, Journal of Atmospheric and Oceanic Technology
  • Thematic Cartography and Geovisualization, Fourth Edition

    2022, Thematic Cartography and Geovisualization, Fourth Edition
  • An improved RBF neural network based on clustering algorithm for estimating wind speed from X-band marine radar images

    2021, Proceedings - 2021 4th IEEE International Conference on Industrial Cyber-Physical Systems, ICPS 2021
View all citing articles on Scopus
View full text