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A joint method to retrieve directional ocean wave spectra from SAR and wave spectrometer data
- Source :
- Chinese Journal of Oceanology and Limnology. 34:847-858
- Publication Year :
- 2015
- Publisher :
- Springer Science and Business Media LLC, 2015.
-
Abstract
- This paper proposes a joint method to simultaneously retrieve wave spectra at different scales from spaceborne Synthetic Aperture Radar (SAR) and wave spectrometer data. The method combines the output from the two different sensors to overcome retrieval limitations that occur in some sea states. The wave spectrometer sensitivity coefficient is estimated using an effective significant wave height (SWH), which is an average of SAR-derived and wave spectrometer-derived SWH. This averaging extends the area of the sea surface sampled by the nadir beam of the wave spectrometer to improve the accuracy of the estimated sensitivity coefficient in inhomogeneous sea states. Wave spectra are then retrieved from SAR data using wave spectrometer-derived spectra as first guess spectra to complement the short waves lost in SAR data retrieval. In addition, the problem of 180° ambiguity in retrieved spectra is overcome using SAR imaginary cross spectra. Simulated data were used to validate the joint method. The simulations demonstrated that retrieved wave parameters, including SWH, peak wave length (PWL), and peak wave direction (PWD), agree well with reference parameters. Collocated data from ENVISAT advanced SAR (ASAR), the airborne wave spectrometer STORM, the PHAROS buoy, and the European Centre for Medium-Range Weather Forecasting (ECMWF) were then used to verify the proposed method. Wave parameters retrieved from STORM and two ASAR images were compared to buoy and ECMWF wave data. Most of the retrieved parameters were comparable to reference parameters. The results of this study show that the proposed joint retrieval method could be a valuable complement to traditional methods used to retrieve directional ocean wave spectra, particularly in inhomogeneous sea states.
- Subjects :
- Synthetic aperture radar
010504 meteorology & atmospheric sciences
Buoy
Spectrometer
0211 other engineering and technologies
Weather forecasting
02 engineering and technology
Oceanography
Geodesy
computer.software_genre
01 natural sciences
Wavelength
Data retrieval
Nadir
Significant wave height
computer
Physics::Atmospheric and Oceanic Physics
Geology
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Water Science and Technology
Remote sensing
Subjects
Details
- ISSN :
- 19935005 and 02544059
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- Chinese Journal of Oceanology and Limnology
- Accession number :
- edsair.doi...........7ad065ff025790315417dde26dbed3ff
- Full Text :
- https://doi.org/10.1007/s00343-015-5043-4