6. High-Frequency Radars

Ocean Motion Technologies
Ocean Motion Tech Blog
3 min readMar 6, 2023

High-frequency (HF) radar is a technology that has emerged as a key tool in the field of oceanography for measuring ocean currents, waves, and sea surface height. The technology uses radio waves to detect the movement of the ocean’s surface and provides a non-intrusive, cost-effective method for studying the ocean.

The HF radar system consists of a transmitting antenna, a receiving antenna, and a data processing system. The transmitting antenna emits high-frequency radio waves that penetrate the ocean’s surface and reflect off of the water’s surface. The receiving antenna picks up the reflected signal and sends it to the data processing system for analysis. The system uses sophisticated algorithms to process the data and extract information about the ocean’s surface.

Two photos of a high frequency radar.
Two variants of high frequency radar. Photo courtesy: SCCOOS

One of the primary applications of HF radar in ocean sensing is the measurement of ocean currents. The technology can detect the movement of the ocean’s surface caused by ocean currents, and the data collected can be used to map the speed and direction of these currents. The HF radar system can cover large areas of the ocean, making it an ideal tool for studying the coastal ocean where many critical processes occur, such as the transport of nutrients and pollutants, and the migration of marine organisms.

HF radar can also be used to measure ocean waves. The technology can detect the height, period, and direction of ocean waves, providing valuable information for predicting wave conditions and forecasting storm surges. The data collected by HF radar can be used to develop wave models, which are used by coastal communities and maritime industries to plan and prepare for severe weather events.

Another important application of HF radar is the measurement of sea surface height. The technology can detect the height of the ocean’s surface with high precision, allowing scientists to monitor changes in sea level over time. This information is critical for understanding the impacts of climate change on the ocean, including the melting of glaciers and ice caps, and the expansion of seawater due to warming.

Schematic figure depicting the Bragg scattering process that allows for ocean current measurements with High Frequency radio signals.
Schematic figure depicting the Bragg scattering process that allows for ocean current measurements with High Frequency radio signals. The echo scattered from the sea is amplified when the transmitted radio signal encounters an ocean wave that has a wavelength that is half the wavelength of the radio signal. Figure credit: Roarty, H., et al. (2019). The global high frequency radar network. Frontiers in marine science, 6, 164.

One of the key advantages of HF radar is its ability to operate in real-time, providing near-instantaneous data on ocean conditions. The technology can detect changes in ocean currents and wave patterns, making it an essential tool for monitoring and predicting severe weather events.

To use HF radar for ocean sensing, a network of radar stations must be installed along the coast. The radar stations are typically mounted on towers or poles and spaced several kilometers apart. The network of radar stations provides comprehensive coverage of the coastal ocean and enables scientists to monitor ocean conditions in real-time.

HF radar is a powerful technology that has revolutionized the way we study the ocean, in particular physical oceanography. The technology provides a non-intrusive, cost-effective method for measuring ocean currents, waves, and sea surface height, and it can cover large areas of the ocean cost-effectively. The data collected by HF radar is critical for understanding the physical, chemical, and biological properties of the ocean, and for predicting and preparing for severe weather events. As our understanding of the ocean continues to evolve, HF radar is likely to remain a key tool for ocean sensing in the future.

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The editing of this article was powered by deepsage.ai

References

https://royalsocietypublishing.org/doi/epdf/10.1098/rsta.2017.0165

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