Internal Waves Overview


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Using Space

Earth Observation satellites are now mainstream sources of information in many areas and impact in numerous ways, mostly without us realising. This impact is real and affects us all. For example, due largely to the availability of satellite data for forecasting meteorological and ocean conditions, deep water oil exploration in the North Atlantic is economically viable. This means countries with offshore oil reserves receive significant revenues  they would not otherwise obtain. Radar satellites capable of imaging the Earth in all weather conditions allow regular surveillance of environmentally sensitive regions such as the North Sea, the Mediterranean and the Baltic Sea to ensure oil tanker operators do not illegally dump contaminants into the environment. Satellite measurements provide precise sea surface temperature time series on a global scale enabling scientists to obtain a  better handle on whether and how global warming is changing our planet.

These pages illustrate how the use of space affects us and the people around us engaged in their daily activities. In these pages you can find:

What are internal waves?

The ocean is not homogeneous - sharp changes in density, temperature, and salinity occur which give rise to a series of layers, each of which differs sharply from its neighbours. On the interface where two such layers meet, waves can exist. These are one type of  “internal waves”.  In most cases of interest they are excited by the interaction between tidal currents and the sea bed structure.

Why measure them?

They represent a poorly understood energy transfer mechanism across continental shelf edges. in addition, they cause strong localised departures from the surrounding ocean conditions causing shear stresses on underwater structures, large variations in acoustic transmission properties of the ocean and transport of discharges in unexpected directions.

Who needs to know?

Why use space?

Conventional methods to detect and measure internal wave properties are expensive and limited to collection of data over a fairly localised region. However, the modelling on which forecasts and nowcasts depend is not sufficiently precise without correction by ocean data.
The use of remote sensing data when combined with additional knowledge such as tidal properties a limited number of in-situ observations improves the accuracy of internal wave models. Without the wide area data provided by the spaceborne SAR, forecasts are not accurate enough for offshore operations management. The availability of satellite instruments also reduces the requirement levels for in-situ instrumentation.
ERS SAR data represent very large cost savings over conventional techniques. Indeed, an effective and reliable forecasting service would not be viable without such data.

Picture example ->


Internal Waves Background

Problems 
Internal waves cause problems in many areas, e.g.:

Offshore oil recovery - The greater part of the new offshore oil and gas fields are in deep waters which are only economically viable due to the development of new recovery technologies which involve cable and wire moorings or long, fragile structures such as the riser pipes and drill columns. The concentration of energy within solitary internal waves can result in strong localised current systems which generate high levels of shear stress on these structures, causing significant levels of damage and representing a potential safety hazard to operations personnel. 
Acoustic propagation in the ocean -  in the ocean, sound is the only viable means of communication and range finding. However, just as atmospheric turbulence causes stars to twinkle, so variations in the ocean structure cause fluctuations to develop in the sound field as it travels. At typical Sonar operating frequencies, the main cause of these fluctuations are internal waves. These  can be strong enough to completely prevent a signal from being detected. Clearly this is of interest in naval operations  but it is also of growing importance in marine engineering where control of remote vehicles is increasingly based on acoustic communication. 
Deep water outfalls - Engineers generally take account of prevailing and extreme conditions in designing structures such as waste outfalls to ensure maximal dispersion. For outlets in deeper waters, this must include consideration of the effects of internal waves. The intense local currents generated by internal waves can prevent proper dispersal of effluent and can force such discharges back in the direction of the coast. A complete analysis of the internal wave statistics for an area requires measurements over a wide area for an extended period, something that would be prohibitively costly using conventional measurement technology. 
 

 
 Example riser system for deep water oil recovery
What can be done? 
Forecasting services attempt to predict internal wave conditions at sites where their occurrence would prove critical to operations activities. These forecasts depend on regional models of the evolution of the internal wavefields.  However, modelling internal wave propagation is difficult due to the nonlinear nature of their evolution. Initial errors in estimating their properties or the nature of the urrounding ocean medium will grow with each time step of the model so that the effects at the site of interest can differ significantly from the observed behaviour. 

These errors can only be reduced by assimilating measurements of the internal wave field but, using conventional techniques, this is extremely expensive and limits the provision of such services to the military and a small number of priority areas 
 

 
 US helicopter making Sonar and environmental measurements
(US NAVY PHOTO)
How does ERS SAR help? 
Using ERS SAR combined with additional knowledge such as tidal properties and a limited number of in-situ observations can reduce the errors in modelling the internal wave behaviour to an extent where the model forecasts and nowcasts represent an accurate analysis of the conditions at operations locations.  Due to the capability to view the internal wave field over a wide area and the reduced requirements for in-situ instrumentation, use of ERS SAR data represents very large cost savings over conventional techniques 

ERS SAR data are downlinked to a local station as the images are acquired. In many areas of the world, these stations have special “low resolution” processors capable of generating a SAR image with a spatial resolution of approximately 100m by 100m (more than adequate for detecting internal waves) in only a few minutes. These images are then transmitted to the organisation providing the forecasting/nowcasting service. There, the images are interpreted manually to identify internal waves. The spacing between successive packets is measured and this information is combined with hydrodynamic data (in particular, the tidal periodicity of the region of interest) to determine the velocity of the packets. Combining this information with models of the propagation of internal waves allows their effects to be accurately forecasted. 
 

How does it work? 
Satellite instruments cannot see below the sea surface so it is not obvious how a spaceborne SAR can detect features such as internal waves. Indeed, when what were clearly internal waves were first seen in SAR images from the US Seasat mission in 1978, oceanographers were extremely surprised.  

The synthetic aperture radar generates an image of the surface roughness, integrated over a short time interval. Where internal waves occur, they generate perturbations to the local current pattern which propagate upwards towards the sea surface. These currents can then cause one or both of the following effects: 

  • a sharp variation in surface roughness due to the currents modulating the surface wave pattern
  • concentration of surface algae into bands - where algae are present, the surface is locally smoothed, thus appearing darker in a SAR image. This generates a characteristic pattern in the SAR imagery. 

Each of these effects can be clearly seen in an ERS SAR image. This is mainly due to the polarisation of the ERS SAR being better suited to detecting the modulation of the surface currents caused by the internal waves. Continuity of such a data source is guaranteed by the Envisat satellite, due to be launched in 2000, which carries a SAR instrument with a greater functionality, including a wider coverage in each image.

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 Example of the capability of ERS SAR to detect internal waves. This shows part of an image acquired over the Galapagos islands 

subcon2.jpg (1210 octets)