Abstract
The purpose of this study was to investigate the characteristics of sea surface waves as they pass through oil slicks. The parameterized first-guess spectrum method (PFSM) theory-based wave retrieval algorithm was applied to 20 images of horizontal-horizontal (HH) polarization obtained using the phased-array L-band synthetic aperture radar (SAR) (PALSAR) on the Advanced Land Observing Satellite (ALOS-1). The images were collocated with simulations from the WAVEWATCH-III (WW3) model in a 0.1° grid using the European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis (ERA-5) winds data as the forcing field. The validation of the model-simulated significant wave height (SWH) against the measurements from the Jason-2 altimeter produced a 0.66 m root mean square error (RMSE) for the SWH, with a coefficient (COR) 0.74. In this sense, the WW3-simulated waves were reliable for our work. A comparison between the SAR retrieval results and the WW3 simulations was performed using the dataset for the regions without oil slicks, which produced a 0.34 m RMSE for the SWH, with a COR of 0.79, which is less than a the RMSE of 0.52 m and the COR of 0.70 for the regions with oil slicks. Moreover, it was found that the SAR-derived SWHs were significantly underestimated by about 0.2 m in the areas with oil slicks. This difference is probably due to the underestimation of the SAR-derived wind speeds at moderate wind speeds (i.e., at wind speeds of greater than 5 ms−1). An additional analysis compared the SAR-derived wave spectra with those from the WW3 model as waves passed through the oil slicks. The interesting finding is that the wave energy at short wave lengths (about 30 m) is reduced by the oil slicks, causing the movement of the dominant wave spectrum to shift to longer wave lengths (about 80 m).
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Alpers, W., and Brummer, B., 1994. Atmospheric boundary layer rolls observed by the synthetic aperture radar aboard the ERS-1 satellite. Journal of Geophysical Research, 99(C6): 2613–2621, DOI: https://doi.org/10.1029/94JC0042.
Alpers, W., Ross, D., and Rufenach, C., 1981. On the detectability of ocean surface waves by real and synthetic radar. Journal of Geophysical Research, 86(C7): 6481–6498, DOI: https://doi.org/10.1029/JC086iC07p06481.
Bi, L., Jung, J. A., Morgan, M. C., and Le Marshall, J. F., 2011. Assessment of assimilating ASCAT surface wind retrievals in the NCEP global data assimilation system. Monthly Weather Review, 139(11): 3405–3421, DOI: https://doi.org/10.1175/2011MWR3391.1.
Ding, Y. Y., Zuo, J. C., Shao, W. Z., Shi, J., Yuan, X. Z., Sun, J., et al., 2019. Wave parameters retrieval for dual-polarization C-band synthetic aperture radar using a theoretical-based algorithm under cyclonic conditions. Acta Oceanologica Sinica, 38(5): 21–31, DOI: https://doi.org/10.1007/s13131-019-1438-y.
Ermakov, S. A., Sergievskaya, I. A., and Gushchin, L. A., 2012. Damping of gravity-capillary waves in the presence of oil slicks according to data from laboratory and numerical experiments. Izvestiya Atmospheric and Oceanic Physics, 48(7): 565–572, DOI: https://doi.org/10.1134/S000143381204007X.
Esaias, W. E., Abbott, M. R., Barton, I., Brown, O. B., Campbell, J. W., Carder, K. L., et al., 1998. An overview of MODIS capabilities for ocean science observations. IEEE Transactions on Geoscience and Remote Sensing, 36(4): 1250–1265, DOI: https://doi.org/10.1109/36.701076.
Feindt, F., Schroter, J., and Alpers, W., 1986. Measurement of the ocean wave-radar modulation transfer function at 35 GHz from a sea-based platform in the North Sea. Journal of Geophysical Research, 91(C8): 9701–9708, DOI: https://doi.org/10.1029/JC091iC08p09701.
Grieco, G., Lin, W., Migliaccio, M., Nirchio, F., and Portabella, M., 2016. Dependency of the Sentinel-1 azimuth wavelength cut-off on significant wave height and wind speed. International Journal of Remote Sensing, 37(21): 5086–5104, DOI: https://doi.org/10.1080/01431161.2016.1226525.
Hasselmann, K., 1973. Measurements of wind-wave growth and swell decay during the Joint North Sea Wave Project (JONSWAP). Deutches Hydrographisches Institut, 12(2): 1–95, DOI: citeulike-article-id:2710264.
Hasselmann, K., and Hasselmann, S., 1991. On the nonlinear mapping of an ocean wave spectrum into a synthetic aperture radar image spectrum. Journal of Geophysical Research, 96(C5): 10713–10729, DOI: https://doi.org/10.1029/91JC00302.
He, Y. J., Shen, H., and Perrie, W., 2006. Remote sensing of ocean waves by polarimetric SAR. Journal of Atmospheric and Oceanic Technology, 23(12): 1768–1773, DOI: https://doi.org/10.1175/JTECH1948.1.
Hersbach, H., 2010. Comparison of C-band scatterometer CMOD5.N equivalent neutral winds with ECMWF. Journal of Atmospheric and Oceanic Technology, 27(4): 721–736, DOI: https://doi.org/10.1175/2009JTECHO698.1.
Hersbach, H., Stoffelen, A., and Haan, S., 2007. An improved C-band scatterometer ocean geophysical model function: CMOD5. Journal of Geophysical Research, 112(C3): 225–237, DOI: https://doi.org/10.1029/2006JC003743.
Honkavaara, E., Saari, H., Kaivosoja, J., Pölönen, I., and Pesonen, L., 2013. Processing and assessment of spectrometric, stereoscopic imagery collected using a lightweight UAV spectral camera for precision agriculture. Remote Sensing, 5(10): 5006–5039, DOI: https://doi.org/10.3390/rs5105006.
Hu, Y. Y., Shao, W. Z., Shi, J., Sun, J., Ji, Q. Y., and Cai, I. N., 2020a. Analysis of the typhoon wave distribution simulated in WAVEWATCH-III model in the context of Kuroshio and wind-induced current. Journal of Oceanology and Limnology, 38(1): 1692–1710, DOI: https://doi.org/10.1007/s00343-019-9133-6.
Hu, Y. Y., Shao, W. Z., Wei, Y. L., and Zuo, J. C., 2020b. Analysis of typhoon-induced waves along typhoon tracks in the western North Pacific Ocean, 1998–2017. Journal of Marine Science and Engineering, 8(7): 521, DOI: 110.3390/jmse8070521.
Isoguchi, O., and Shimada, M., 2009. An L-band ocean geophysical model function derived from PALSAR. IEEE Transactions on Geoscience and Remote Sensing, 47(7): 1925–1936, DOI: https://doi.org/10.1109/TGRS.2008.2010864.
Jakobsson, M., and Macnab, R., 2006. A comparison between GEBCO sheet 5.17 and the international bathymetric chart of the Arctic Ocean (IBCAO) version 1.0. Marine Geophysical Researches, 27(1): 35–48, DOI: https://doi.org/10.1007/s11001-005-7760-0.
Kudryavtsev, V., Hauser, D., Caudal, G., and Chapron, B., 2003. A semiempirical model of the normalized radar cross section of the sea surface, 2. Radar modulation transfer function. Journal of Geophysical Research, 108(C3): FET31–FET316, DOI: https://doi.org/10.1029/2001JC001004.
Lehner, S., Horstmann, J., Koch, W., and Rosenthal, W., 1998. Mesoscale wind measurements using recalibrated ERS SAR images. Journal of Geophysical Research, 103: 7847–7856, DOI: https://doi.org/10.1029/97JC02726.
Li, X. M., and Lehner, S., 2014. Algorithm for sea surface wind retrieval from TerraSAR-X and TanDEM-X data. IEEE Transactions on Geoscience and Remote Sensing, 52(5): 2928–2939, DOI: https://doi.org/10.1109/TGRS.2013.2267780.
Li, X. M., Zhang, T. Y., Huang, B. Q., and Jia, T., 2018. Capabilities of Chinese Gaofen-3 synthetic aperture radar in selected topics for coastal and ocean observations. Remote Sensing, 10(12): 1929, DOI: 110.3390/rs10121929.
Li, X., Lehner, S., and Bruns, T., 2011. Ocean wave integral parameter measurements using Envisat ASAR wave mode data. IEEE Transactions on Geoscience and Remote Sensing, 49(1): 155–174, DOI: https://doi.org/10.1109/TGRS.2010.2052364.
Lyzenga, D., 1986. Numerical simulation of synthetic aperture radar image spectra for ocean waves. IEEE Transactions on Geoscience and Remote Sensing, GE-24(6): 863–872, DOI: https://doi.org/10.1109/TGRS.1986.289701.
Lyzenga, D., 2002. Unconstrained inversion of wave height spectra from SAR images. IEEE Transactions on Geoscience and Remote Sensing, 40(2): 261–270, DOI: https://doi.org/10.1109/36.992783.
Mastenbroek, C., and Valk, C., 2000. A semi-parametric algorithm to retrieve ocean wave spectra from synthetic aperture radar. Journal of Geophysical Research, 105(C2): 3497–3516, DOI: https://doi.org/10.1029/1999JC900282.
Meng, T. Y., Yang, X. F., Chen, K. S., Nunziata, F., Xie, D. F., and Buono, A., 2022. Radar backscattering over sea surface oil emulsions: Simulation and observation. IEEE Transactions on Geoscience and Remote Sensing, 60: 1–14, DOI: https://doi.org/10.1109/TGRS.2021.3073369.
Migliaccio, M., Huang, L., and Buono, A., 2019. SAR speckle dependence on ocean surface wind field. IEEE Transactions on Geoscience and Remote Sensing, 57(8): 5447–5455, DOI: https://doi.org/10.1109/TGRS.2019.2899491.
Monaldo, F., Jackson, C., Li, X. F., and Pichel, W., 2016. Preliminary evaluation of Sentinel-1A wind speed retrievals. IEEE Journal of Selected in Applied Earth Observations and Remote Sensing, 9(6): 2638–2642, DOI: https://doi.org/10.1109/JSTARS.2015.2504324.
Mouche, A. A., Hauser, D., Daloze, J. F., and Guerin, C., 2005. Dual polarization measurements at C-band over the ocean: Results from airborne radar observations and comparison with ENVISAT ASAR data. IEEE Transaction on Geoscience and Remote Sensing, 43(4): 753–769, DOI: https://doi.org/10.1109/TGRS.2005.843951.
Nunziata, F., De Macedo, C. R., Buono, A., Velotto, D., and Migliaccio, M., 2018. On the analysis of a time series of X-band Terrasar-X SAR imagery over oil seepages. International Journal of Remote Sensing, 40(9): 3623–3646, DOI: https://doi.org/10.1080/01431161.2018.1547933.
Pleskachevsky, A., Rosenthal, W., and Lehner, S., 2016. Meteo-Marine parameters for highly variable environment in coastal regions from satellite radar images. ISPRS Journal of Photogrammetry and Remote Sensing, 119(2): 464–484, DOI: https://doi.org/10.1016/j.isprsjprs.2016.02.001.
Price, J. M., Reed, M., Howard, M. K., Johnson, W. R., Ji, Z. G., Marshall, C. F., et al., 2006. Preliminary assessment of an oil-spill trajectory model using satellite-tracked, oil-spill-simulating drifters. Environmental Modelling and Software, 21(2): 258–270, DOI: https://doi.org/10.1016/j.envsoft.2004.04.025.
Quilfen, Y., Chapron, B., Elfouhaily, T., Katsaros, K., and Tournadre, J., 1998. Observation of tropical cyclones by high-resolution scatterometry. Journal of Geophysical Research, 103(C4): 7767–7786, DOI: https://doi.org/10.1029/97JC01911.
Schulz-Stellenfleth, J., Konig, T., and Lehner, S., 2007. An empirical approach for the retrieval of integral ocean wave parameters from synthetic aperture radar data. Journal of Geophysical Research, 112(C3): 10182–10190, DOI: https://doi.org/10.1029/2006JC003970.
Sergievskaya, I., Ermakov, S., Lazareva, T., and Guo, J., 2019. Damping of surface waves due to crude oil/oil emulsion films on water. Marine Pollution Bulletin, 146(9): 206–214, DOI: https://doi.org/10.1016/j.marpolbul.2019.06.018.
Shao, W. Z., Hu, Y. Y., Yang, J., Nunziata, F., Sun, J., and Li, H., et al., 2018a. An empirical algorithm to retrieve significant wave height from Sentinel-1 synthetic aperture radar imagery collected under cyclonic conditions. Remote Sensing, 10(9): 1367, DOI: https://doi.org/10.3390/rs10091367.
Shao, W. Z., Li, X. F., and Sun, J., 2015. Ocean wave parameters retrieval from TerraSAR-X images validated against buoy measurements and model results. Remote Sensing, 7(10): 12815–12828, DOI: https://doi.org/10.3390/rs71012815.
Shao, W. Z., Li, X. M., Lehner, S., and Guan, C. L., 2014a. Development of polarization ratio model for sea surface wind field retrieval from TerraSAR-X HH polarization data. International Journal of Remote Sensing, 35(11–12): 4046–4063, DOI: https://doi.org/10.1080/01431161.2014.916059.
Shao, W. Z., Nunziata, F., Zhang, Y. G., Corcione, V., and Migliaccio, M., 2021. Wind speed retrieval from the Gaofen-3 synthetic aperture radar for VV- and HH-polarization using a retuned algorithm. European Journal of Remote Sensing, 54(1): 318–337, DOI: https://doi.org/10.1080/22797254.2021.1924082.
Shao, W. Z., Sheng, Y. X., Li, H., Shi, J., Ji, Q. Y., Tan, W., et al., 2018b. Analysis of wave distribution simulated by WAVEWATCH-III model in typhoons passing Beibu Gulf, China. Atmosphere, 9(7): 265–284, DOI: https://doi.org/10.3390/atmos9070265.
Shao, W. Z., Sun, J., Guan, C. L., and Sun, Z. F., 2014b. A method for sea surface wind field retrieval from SAR image mode data. Journal of Ocean University of China, 13(2): 198–204, DOI: https://doi.org/10.1007/s11802-014-1999-5.
Shao, W. Z., Yu, W. P., Jiang, X. W., Shi, J., Wei, Y. L., and Ji, Q. Y., 2022. Analysis of wave distribution using WAVEWATCH-III model in the Arctic Ocean. Journal of Ocean University of China, 21(1): 15–27, DOI: https://doi.org/10.1007/s11802-022-4811-y.
Shao, W. Z., Zhu, S., Sun, J., Yuan, X. Z., Sheng, Y. X., Zhang, Q. J., et al., 2018c. Evaluation of wind retrieval from co-polarization Gaofen-3 SAR imagery around China Seas. Journal of Ocean University of China, 18(1): 80–92, DOI: https://doi.org/10.1007/s11802-019-3779-8.
Sheng, Y. X., Shao, W. Z., Zhu, S., Sun, J., Yuan, X. Z., Li, S. Q., et al., 2018. Validation of significant wave height retrieval from co-polarization Chinese Gaofen-3 SAR imagery by using an improved algorithm. Acta Oceanologica Sinica, 37(6): 302–315, DOI: https://doi.org/10.1007/s13131-018-1217-1.
Shimada, M., Lsoguchi, O., Tadono, T., and Isono, K., 2009. PALSAR radiometric and geometric calibration. IEEE Transactions on Geoscience and Remote Sensing, 47(12): 3915–3932, DOI: https://doi.org/10.1109/TGRS.2009.2023909.
Shimada, T., Kawamura, H., and Shimada, M., 2003. An L-band geophysical model function for SAR wind retrieval using JERS-1 SAR. IEEE Transactions on Geoscience and Remote Sensing, 41(3): 518–531, DOI: https://doi.org/10.1109/TGRS.2003.808836.
Shulz-Stellenfleth, J., Lehner, S., and Hoja, D., 2005. A parametric scheme for the retrieval of two-dimensional ocean wave spectra from synthetic aperture radar look cross spectra. Journal of Geophysical Research, 110(C5): C05004, DOI: https://doi.org/10.1029/2004JC002822.
Stoffelen, A., and Anderson, D., 1997. Scatterometer data interpretation estimation and validation of the CMOD4. Journal of Geophysical Research, 102(102): 5767–5780, DOI: https://doi.org/10.1029/96JC02860.
Stoffelen, A., Verspeek, J. A., Vogelzang, J., and Verhoef, A., 2017. The CMOD7 geophysical model function for ASCAT and ERS wind retrievals. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(5): 2123–2134, DOI: https://doi.org/10.1109/JSTARS.2017.2681806.
Stopa, J., and Mouche, A., 2017. Significant wave heights from Sentinel-1 SAR: Validation and applications. Journal of Geophysical Research, 122(3): 1827–1848, DOI: https://doi.org/10.1002/2016JC012364.
Sun, J., and Kawamura, H., 2009. Retrieval of surface wave parameters from SAR images and their validation in the coastal seas around Japan. Journal of Oceanography, 65(4): 567–577, DOI: https://doi.org/10.1007/s10872-009-0048-2.
Sun, S., Lu, Y., Liu, Y., Wang, M., and Hu, C., 2018. Tracking an oil tanker collision and spilled oils in the East China Sea using multisensor day and night satellite imagery. Geophysical Research Letters, 45(7): 3212–3220, DOI: https://doi.org/10.1002/2018GL077433.
The Wamdi Group, 1988. The WAM model — A third generation ocean wave prediction model. Journal of Physical Oceanography, 18(12): 1775–1810, DOI: https://doi.org/10.1175/1520-0485(1988)018<1775:TWMTGO>2.0.CO;2.
Tolman, H., and Chalikov, D., 1996. Source terms in a third-generation wind wave model. Journal of Physical Oceanography, 26(11): 2497–2518, DOI: https://doi.org/10.1175/1520-0485(1996)0262.0.CO;2.
Velotto, D., Migliaccio, M., Nunziata, F., and Lehner, S., 2011. Dual-polarized TerraSAR-X data for oil-spill observation. IEEE Transactions on Geoscience and Remote Sensing, 49(12): 4751–4762, DOI: https://doi.org/10.1109/TGRS.2011.2162960.
Verspeek, J., Stoffelen, A., Portabella, M., Bonekamp, H., Anderson, C., and Saldana, J. F., 2010. Validation and calibration of ASCAT using CMOD5.N. IEEE Transactions on Geoscience and Remote Sensing, 48(1): 386–395, DOI: https://doi.org/10.1109/TGRS.2009.2027896.
Voorrips, C., Mastenbroek, C., and Hansen, B., 2001. Validation of two algorithms to retrieve ocean wave spectra from ERS synthetic aperture radar. Journal of Geophysical Research: Atmospheres, 106(C8): 16825–16840, DOI: https://doi.org/10.1029/1999JC000156.
Yang, X. F., Li, X. F., Zheng, Q. A., Gu, X. F., Pichel, W. G., and Li, Z. W., 2011. Comparison of ocean surface winds retrieved from QuikSCAT scatterometer and Radarsat-1 SAR in offshore waters of the U.S. west coast. IEEE Geoscience and Remote Sensing Letters, 8(1): 163–167, DOI: https://doi.org/10.1109/LGRS.2010.2053345.
Yang, Z. H., Shao, W. Z., Hu, Y. Y., Ji, Q. Y., and Zhou, W., 2021. Revisit of a case study of spilled oil slicks caused by the Sanchi accident (2018) in the East China Sea. Journal of Marine Science and Engineering, 9(3): 279, DOI: 110.3390/jmse9030279.
Zhang, B., Perrie, W., and He, Y. J., 2010. Validation of RADARSAT-2 fully polarimetric SAR measurements of ocean surface waves. Journal of Geophysical Research, 116(C6): 302–315, DOI: https://doi.org/10.1029/2009JC005887.
Zheng, H., Zhang, Y., Wang, Y., Zhang, X., and Meng, J., 2017. The polarimetric features of oil spills in full polarimetric synthetic aperture radar images. Acta Oceanologica Sinica, 36(5): 105–114, DOI: https://doi.org/10.1007/s13131-017-1065-4.
Zhu, S., Shao, W. Z., Armando, M., Shi, J., Sun, J., Yuan, X. Z., et al., 2019. Evaluation of Chinese quad-polarization Gaofen-3 SAR wave mode data for significant wave height retrieval. Canadian Journal of Remote Sensing, 44(6): 588–600, DOI: https://doi.org/10.1080/07038992.2019.1573136.
Acknowledgements
This research was partly supported by the National Natural Science Foundation of China (Nos. 41906152 and 42076238). We greatly appreciate the National Center for Environmental Prediction of the National Oceanic and Atmospheric Administration for providing the source code for the WAVEWATCH-III model free of charge. The European Centre for Medium-Range Weather Forecasts wind data were accessed via http://www.ecmwf.int. The General Bathymetry Chart of the Oceans (GEBCO) data were downloaded from ftp.edcftp.cr.usgs.gov. The operational Geophysical Data Record (OGDR) wave data following the footprints of the Jason-2 altimeter were downloaded from https://data.nodc.noaa.gov. The Advanced Scatterometer 25 km wind products provided by the Royal Netherlands Meteorological Institute were downloaded from http://archive.eumetsat.int. We would also like to thank the Aerospace Information Research Institute for providing the historical Advanced Land Observing Satellite images.
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Jiang, T., Shao, W., Hu, Y. et al. L-Band Analysis of the Effects of Oil Slicks on Sea Wave Characteristics. J. Ocean Univ. China 22, 9–20 (2023). https://doi.org/10.1007/s11802-023-5172-x
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DOI: https://doi.org/10.1007/s11802-023-5172-x