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Geophysical Research Abstracts
Vol. 17, EGU2015-11563, 2015
EGU General Assembly 2015
© Author(s) 2015. CC Attribution 3.0 License.
Simulation Tool for GNSS Ocean Surface Reflections
Per Høeg, Hans-Henrik von Benzon, and Tibor Durgonics
Technical University of Denmark, DTU Space, Geodesy, Kongens Lyngby, Denmark (hoeg@space.dtu.dk)
GNSS coherent and incoherent reflected signals have the potential of deriving large scale parameters of ocean
surfaces, as barotropic variability, eddy currents and fronts, Rossby waves, coastal upwelling, mean ocean surface
heights, and patterns of the general ocean circulation. In the reflection zone the measurements may derive
parameters as sea surface roughness, winds, waves, heights and tilts from the spectral measurements. Previous
measurements from the top of mountains and airplanes have shown such results leading.
The coming satellite missions, CYGNSS, COSMIC-2, and GEROS on the International Space Station, are
focusing on GNSS ocean reflection measurements. Thus, simulation studies highlighting the assumptions for
the data retrievals and the precision and the accuracy of such measurements are of interest for assessing the
observational method.
The theory of propagation of microwaves in the atmosphere is well established, and methods for propagation
modeling range from ray tracing to numerical solutions to the wave equation. Besides ray tracing there are
propagation methods that use mode theory and a finite difference solution to the parabolic equation. The presented
propagator is based on the solution of the parabolic equation. The parabolic equation in our simulator is solved
using the split-step sine transformation. The Earth’s surface is modeled with the use of an impedance model. The
value of the Earth impedance is given as a function of the range along the surface of the Earth. This impedance
concept gives an accurate lower boundary condition in the determination of the electromagnetic field, and makes it
possible to simulate reflections and the effects of transitions between different mediums. A semi-isotropic Philips
spectrum is used to represent the air-sea interaction.
Simulated GPS ocean surface reflections will be presented and discussed based on different ocean characteristics.
The spectra of the simulated surface reflections will be analyzed and compared with existing observations.
The analysis of both the simulated surface reflection signals and the measured reflection signals will reveal
spectral structures of the reflected signals leading to the extraction of sea surface roughness, ocean wave heights,
surface wind speed and direction.

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Simulation Tool for GNSS Ocean Surface Reflections

  • 1. Geophysical Research Abstracts Vol. 17, EGU2015-11563, 2015 EGU General Assembly 2015 © Author(s) 2015. CC Attribution 3.0 License. Simulation Tool for GNSS Ocean Surface Reflections Per Høeg, Hans-Henrik von Benzon, and Tibor Durgonics Technical University of Denmark, DTU Space, Geodesy, Kongens Lyngby, Denmark (hoeg@space.dtu.dk) GNSS coherent and incoherent reflected signals have the potential of deriving large scale parameters of ocean surfaces, as barotropic variability, eddy currents and fronts, Rossby waves, coastal upwelling, mean ocean surface heights, and patterns of the general ocean circulation. In the reflection zone the measurements may derive parameters as sea surface roughness, winds, waves, heights and tilts from the spectral measurements. Previous measurements from the top of mountains and airplanes have shown such results leading. The coming satellite missions, CYGNSS, COSMIC-2, and GEROS on the International Space Station, are focusing on GNSS ocean reflection measurements. Thus, simulation studies highlighting the assumptions for the data retrievals and the precision and the accuracy of such measurements are of interest for assessing the observational method. The theory of propagation of microwaves in the atmosphere is well established, and methods for propagation modeling range from ray tracing to numerical solutions to the wave equation. Besides ray tracing there are propagation methods that use mode theory and a finite difference solution to the parabolic equation. The presented propagator is based on the solution of the parabolic equation. The parabolic equation in our simulator is solved using the split-step sine transformation. The Earth’s surface is modeled with the use of an impedance model. The value of the Earth impedance is given as a function of the range along the surface of the Earth. This impedance concept gives an accurate lower boundary condition in the determination of the electromagnetic field, and makes it possible to simulate reflections and the effects of transitions between different mediums. A semi-isotropic Philips spectrum is used to represent the air-sea interaction. Simulated GPS ocean surface reflections will be presented and discussed based on different ocean characteristics. The spectra of the simulated surface reflections will be analyzed and compared with existing observations. The analysis of both the simulated surface reflection signals and the measured reflection signals will reveal spectral structures of the reflected signals leading to the extraction of sea surface roughness, ocean wave heights, surface wind speed and direction.