Wind waves can be measured by several radar remote sensing techniques. Several instruments based on a variety of different concepts and techniques are available to the user and these are all often called wave radars. This article (see also Grønlie 2004), gives a brief description of the most common ground-based radar remote sensing techniques.
Instruments based on radar remote sensing techniques have become of particular interest in applications where it is important to avoid direct contact with the water surface and avoid structural interference. A typical case is wave measurements from an offshore platform in deep waters with the presence of high currents making the mooring of a wave buoy enormously difficult. Another interesting case is a ship under way where having instruments in the sea is highly impractical and interference from the ship's hull must be avoided.
- 1 Radar remote sensing
- 2 Remote sensing techniques
- 3 References
- 4 External links
Radar remote sensing
Terms and definitions
Basically there are two different classes of radar remote sensors for ocean waves.
- Direct sensor measures directly some relevant parameter of the wave system (like surface elevation or water particle velocity).
- Indirect sensors observe the surface waves via the interaction with some other physical process as for example the radar cross section of the sea surface.
Microwave radars may be used in two different modes;
- The near vertical mode. The radar echo is generated by specular reflections from the sea surface.
- The low grazing angle mode. The radar echo is generated by Bragg scattering, hence wind generated surface ripple (capillary waves) must be present. The backscattered signal will be modulated by the large surface gravity waves and the gravity wave information is derived from the modulation of the backscattered signal. An excellent presentation of the theories of microwave remote sensing of the sea surface is given by Plant and Shuler (1980).
The radar footprint (the radial and azimuthal extent of the surface area to be illuminated by the radar) must be small in comparison with all ocean wavelength of interest. The radar spatial resolution is determined by the bandwidth of the radar signal (see radar signal characteristics) and the beamwidth of the radar antenna.
The beam of a microwave antenna is dispersive, consequently the resolution becomes a function of range. The beam of an IR radar (laser) is non dispersive, the radar footprint is therefore independent of range.
HF radars utilize the Bragg scattering mechanism and do always operate at very low grazing angles. Due to the low frequency of operation the radar waves are backscattered directly from the gravity waves and surface ripple need not be present.
Radar transceivers may be coherent or non-coherent. Coherent radars measure Doppler-modulation as well as amplitude modulation, while non-coherent radars only measure amplitude modulation. Consequently, a non-coherent radar echo contains less information about the sea surface properties. Examples of non-coherent radars are conventional marine navigation radars.
The radar transmitter waveform may be either unmodulated continuous wave, modulated or pulsed. An unmodulated continuous wave radar has no range resolution, but can resolve targets on the basis of different velocity, while a modulated or pulsed radar can resolve echoes from different ranges. The radar waveform plays a very important role in radar theory (Plant and Shuler, 1980).
The wave radar performance is highly dependent on
- Mode of operation or measurement geometry (vertical or grazing)
- Class of system (direct or indirect)
- Frequency of operation
- Radar waveform (unmodulated CW or modulated/pulsed)
- Type of transceiver (coherent or non-coherent)
- Radar antenna properties
Remote sensing techniques
An excellent survey of different radar techniques for remote sensing of waves is given by Tucker (1991).
Microwave range finders
Microwave range finders also operate in vertical mode at GHz frequencies and is not as affected by fog and water spray as the laser altimeter. A continuous wave frequency modulated (CWFM) or pulsed radar waveform is normally used to provide range resolution. The beam is dispersive, hence the size of the footprint increases linearly with range.
One example of a microwave range finder is the Miros SM-094 which is designed for wave and water level (and tide) measurements. This sensor is applied as air gap (bridge clearance) sensor in NOAAs PORTS system. Another example is the WaveRadar REX which is a derivative of a Rosemount tank radar.
An array of three vertical radars in a triangular configuration can be used to measure a directional wave spectrum. Algorithms and signal processing software similar to what is used in the processing of heave, pitch, roll buoys. A commercial system called “Directional WaveGuide” is available from the Dutch companies Enraf and Radac.
Marine navigation radars (X band) provide sea clutter images which contain a pattern resembling a sea wave pattern. By digitizing the radar video signal it can be processed by a digital computer. Sea surface parameters may be calculated on the basis of these digitized images. The marine navigation radar operates in low grazing angle mode and wind generated surface ripple must be present. The marine navigation radar is non-coherent and is a typical example of an indirect wave sensor, because there is no direct relation between wave height and radar back-scatter modulation amplitude. An empirical method of wave spectrum scaling is normally employed. Marine navigation radar based wave sensors are excellent tools for wave direction measurements. A marine navigation radar may also be a tool for surface current measurements. Point measurements of the current vector as well as current maps up to a distance of a few km can be provided (Gangeskar, 2002). Miros WAVEX has its main area of application as directional wave measurements from moving ships. Another example of a marine radar based system is OceanWaves WaMoS II.
The range gated pulsed Doppler microwave radar
The range gated pulsed Doppler microwave radar operates in low grazing angle mode. By using several antennas it may be used as a directional wave sensor, basically measuring the directional spectrum of the horizontal water particle velocity. The velocity spectrum is directly related to the wave height spectrum by a mathematical model based on linear wave theory and accurate measurements of the wave spectrum can be provided under most conditions. As measurements are taken at a distance from the platform on which it is mounted, the wave field is to a small degree disturbed by interference from the platform structure.
Miros Wave and current radar is the only available wave sensor based on the range gated pulsed Doppler radar technique. This radar also uses the dual frequency technique (see below) to perform point measurements of the surface current vector
The dual frequency microwave radar
The dual frequency microwave radar transmits two microwave frequencies simultaneously. The frequency separation is chosen to give a “spatial beat” length which is in the range of the water waves of interest. The dual frequency radar may be considered a microwave equivalent of the high frequency (HF) radar (see below). The dual frequency radar is suitable for the measurement of surface current. As far as wave measurements are concerned, the back-scatter processes are too complicated (and not well understood) to allow useful measurement accuracy to be attained.
The HF radar
The HF radar CODAR SeaSonde and Helzel WERA are well established as a powerful tool for sea current measurements up to a range of 300 km. It operates in the HF and low VHF frequencies band corresponding to a radar wavelength in the range of 10 to 300m. The Doppler shift of the first order Bragg lines of the radar echo is used to derive sea current estimates in very much the same way as for the dual frequency microwave radar. Two radar installations are normally required, looking at the same patch of the sea surface from different angles. The latest generation of shore-based ocean radar can reach more than 200 km for ocean current mapping and more than 100 km for wave measurements Helzel WERA. For all ocean radars, the accuracy in range is excellent. With shorter ranges, the range resolution gets finer. The angular resolution and accuracy depends on the used antenna array configuration and applied algorithms (direction finding or beam forming). The WERA system provides the option to use both techniques; the compact version with direction finding or the array type antenna system with beam forming methods.
Specialized X-Band - FutureWaves™
The FutureWaves™ technology was originally developed as an Environmental Ship and Motion Forecasting (ESMF) system for the Navy's ONR (Office of Naval Research) by General Dynamics' Applied Physical Sciences Corporation. The technology was adapted to be released in the commercial market and made its first public appearance at the 2017 Offshore Technology Conference in Houston Texas.
FutureWaves™ differs from existing wave forecasting systems by employing a customized wave sensing radar capable of measuring backscatter Doppler out to ranges of approximately 5 km. The radar antenna is vertically polarized to enhance the sea-surface backscatter signal. Second, FutureWaves™ uses an innovative radar signal processing scheme that addresses the inherently noisy backscatter signals through a mathematical process termed Least Squares Inversion. This approach applies a highly over-determined filter to the radar data, and intelligently rejects radar scans that do not observe incoming waves. The result is an accurate representation of the propagating incident wave field that will force ship motions over a 2-3 minute window. The wave processing algorithms also enable real-time calculation of wave field two-dimensional power spectra and significant wave height similar to that provided by a wave buoy.
FutureWaves™ also uses an innovative vessel motion prediction process that relies on a pre-calculated forceresponse database. Dynamic motional degrees of freedom are then represented as a lumped mechanical system whose future motions are predicted by numerically solving a multi-degree-of-freedom, forced, coupled differential equation with initial inertial state provided by vessel motion sensor outputs. The time-domain solution employed in FutureWaves™ allows for nonlinear forcing mechanisms, such as quadratic roll damping and roll control systems, to be captured in the forecasting.
Finally, FutureWaves™ uses the Gravity open architecture middleware solution to integrate the sensor feeds, processing subroutines and user displays. This open architecture approach will allow FutureWaves™ users to implement customized operator displays along with physics based models of specific vessels and machinery (e.g. cranes) into the system.
- Gangeskar, R., (2002),“Ocean Current Estimated from X-band Radar Sea Surface Images”, IEEE Transactions and Remote Sensing, vol. 40, no. 4.
- Grønlie, Ø (2004). “Wave Radars – A comparison of different concepts and techniques”, Hydro International, volume 8, number 5, June 2004.
- Plant, W.J. and D.L. Shuler, (1980) “Remote sensing of the sea surface using one and two frequency microwave techniques”, Radio Science, Vol. 15 No. 3, pages 605-615.
- Tucker, M.J., (1991) “Waves in Ocean Engineering, measurement analysis, interpretation”, Ellis Horwood Limited, Chapter 8, pages 231-266.
- Wyatt, (2009) "Measuring high and low waves with HF radar", Proceedings of IEEE Oceans Conference, Bremen, 2009.
- HYDRO International, (2010) "WERA Ocean Radar System - Features, Accuracy and Reliability", HYDRO International, Volume 14, Number 3, 2010, pages 22-23.
- F. Serafino, C. Lugni, and F. Soldovieri, “Sea Topography reconstruction from X-band radar images”, Advances in Geosciences, 2008, Vol. 19, pp 83-86.
- F. Serafino, C. Lugni, and F. Soldovieri, “A novel strategy for the surface current determination from marine X-band radar data”, IEEE Geoscience and Remote Sensing Letters, April 2010, Vol. 7, pp 231-237.
- F. Serafino, C. Lugni, J. C. Nieto Borge, V. Zamparelli1 and F. Soldovieri, ‘Bathymetry Determination via X-Band Radar Data: A New Strategy and Numerical Results’, Sensors 2010, 10(7), pp. 6522-6534
- Francesco Serafino, Claudio Lugni, José Carlos Nieto Borge, and Francesco Soldovieri, ‘A Simple Strategy to Mitigate the Aliasing Effect in X-band Marine Radar Data: Numerical Results for a 2D Case’ , Sensors 2011, 11(1), 1009-1027.
- F. Serafino , C. Lugni , G. Ludeno , D. Arturi , M. Uttieri , B. Buonocore , E. Zambianchi , G. Budillon , F. Soldovieri, ‘REMOCEAN: a flexible X band radar system for sea state monitoring and surface current estimation’, IEEE Geoscience and Remote Sensing Letters , Issue: 99 , febbraio 2012,pp 1-5
- F. Serafino, F. Soldovieri, C. Lugni, ‘Sea-State Monitoring via X-band Marine Radar Images Sequences: a new Approach for an Accurate Surface Currents Estimation”, OMAE 2009, Honolulu, Hawaii, 31 May - 5 June 2009.
- F. Serafino, C. Lugni, and F. Soldovieri, “Sea Surface Currents Estimation via X-band Marine Radar Images Sequences acquired from a moving vessel”, OceanSAR 2009, 7–11 September 2009, Herrsching, Germany.
- F. Serafino, Francesco Soldovieri and Claudio Lugni “Aliasing effect removal in sea height reconstruction by X-band radar images acquired from a moving vessel”, OceanSAR 2009, 7–11 September 2009, Herrsching, Germany.
- F. Serafino, C. Lugni, F. Raffa, F. Soldovieri, “Ocean Surface Current Determination from Marine X-band Radar Data and Wave Height Reconstruction”, EGU, 19 – 24 April 2009, Vienna, Austria.
- Raffa, F., G. Ludeno, B. Patti, F. Soldovieri, S. Mazzola, and F. Serafino, 2017: X-Band Wave Radar for Coastal Upwelling Detection off the Southern Coast of Sicily. J. Atmos. Oceanic Technol., 34, 21–31, https://doi.org/10.1175/JTECH-D-16-0049.1
Microwave range finders:
- Physical Oceanographic Real-Time System (PORTS)
- NOAA Technical Report NOS CO-OPS 042; Microwave Air Gap-Bridge Clearance Sensor; Test, Evaluation, and Implementation Report
- ESEAS RI, Assessment of accuracy and operational properties of different tide gauge sensors.
- The Global Sea Level Observing System
- Volume IV of the IOC Manual on Sea Level Measurement and Interpretation
The range gated pulsed Doppler microwave radar:
- MIROS System Evaluation during Storm Wind Study II; F.W. Dobson, Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, NS, Canada; E. Dunlap ASA Consulting Ltd, Halifax, NS, Canada
X-band based wave sensors:
- Radac level, tide and wave monitoring systems
- WaMoS II (OceanWaves GmbH)
- Miros AS