LIU Chengyu, CHAO Jinlong, GU Wei, LI Lantao, XU Yingjun. On the surface roughness characteristics of the land fast sea-ice in the Bohai Sea[J]. Acta Oceanologica Sinica, 2014, 33(7): 97-106. doi: 10.1007/s13131-014-0509-3
Citation: LIU Chengyu, CHAO Jinlong, GU Wei, LI Lantao, XU Yingjun. On the surface roughness characteristics of the land fast sea-ice in the Bohai Sea[J]. Acta Oceanologica Sinica, 2014, 33(7): 97-106. doi: 10.1007/s13131-014-0509-3

On the surface roughness characteristics of the land fast sea-ice in the Bohai Sea

doi: 10.1007/s13131-014-0509-3
  • Received Date: 2012-07-16
  • Rev Recd Date: 2014-02-19
  • The surface roughness characteristics (e.g., height and slope) of sea ice are critical for determining the parameters of an electromagnetic scattering, a surface emission and a surface drag coefficients. It is also important in identifying various ice types, retrieval ice thickness, surface temperature and drag coefficients from remote sensing data. The point clouds (a set of points which are usually defined by X, Y, and Z coordinates that represents the external surface of an object on earth) of land fast ice in five in situ sites in the eastern coast Bohai Sea were measured using a laser scanner-Trimble GX during 2011-2012 winter season. Two hundred and fifty profiles selected from the point clouds of different samples have been used to calculate the height root mean square, height skewness, height kurtosis, slope root mean square, slope skewness and slope kurtosis of them. The root mean square of the height, the root mean square of the slope and the correlation length are about 0.090, 0.075 and 11.74 m, respectively. The heights of 150 profiles in three sites manifest the Gaussian distribution and the slopes of total 250 profiles distributed exponentially. In addition, the fractal dimension and power spectral density profiles were calculated. The results show that the fractal dimension of land fast ice in the Bohai Sea is about 1.132. The power spectral densities of 250 profiles can be expressed through an exponential autocorrelation function.
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