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SURFACE SNOW DENSITY OF EAST ANTARCTICA DERIVED FROM IN-SITU OBSERVATIONS

机译:从原位观测资料推算出的南极表面雪密度

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Models based on physical principles or semi-empirical parameterizations have used to compute the firn density, which is essential for the study of surface processes in the Antarctic ice sheet. However, parameterization of surface snow density is often challenged by the description of detailed local characterization. In this study we propose to generate a surface density map for East Antarctica from all the filed observations that are available. Considering that the observations are non-uniformly distributed around East Antarctica, obtained by different methods, and temporally inhomogeneous, the field observations are used to establish an initial density map with a grid size of 30?×?30?kmsup2/sup in which the observations are averaged at a temporal scale of five years. We then construct an observation matrix with its columns as the map grids and rows as the temporal scale. If a site has an unknown density value for a period, we will set it to 0 in the matrix. In order to construct the main spatial and temple information of surface snow density matrix we adopt Empirical Orthogonal Function (EOF) method to decompose the observation matrix and only take first several lower-order modes, because these modes already contain most information of the observation matrix. However, there are a lot of zeros in the matrix and we solve it by using matrix completion algorithm, and then we derive the time series of surface snow density at each observation site. Finally, we can obtain the surface snow density by multiplying the modes interpolated by kriging with the corresponding amplitude of the modes. Comparative analysis have done between our surface snow density map and model results. The above details will be introduced in the paper.
机译:基于物理原理或半经验参数化的模型已用于计算炉骨密度,这对于研究南极冰盖的表面过程至关重要。但是,地表雪密度的参数化通常受到详细局部特征描述的挑战。在这项研究中,我们建议从所有可用的观测资料中生成南极东部的表面密度图。考虑到观测值在南极东部周围分布不均匀,通过不同方法获得的,并且在时间上是不均匀的,因此,现场观测值用于建立初始密度图,其网格尺寸为30?×?30?km 2 < / sup>,其中观测值在五年时间范围内平均。然后,我们构造一个观察矩阵,其列作为地图网格,行作为时间尺度。如果某个地点在一段时间内的密度值未知,我们将在矩阵中将其设置为0。为了构造地表雪密度矩阵的主要空间和庙宇信息,我们采用经验正交函数(EOF)方法分解观测矩阵,并且仅采用几种低阶模式,因为这些模式已经包含了观测矩阵的大部分信息。但是,矩阵中有很多零,我们使用矩阵完成算法对其进行求解,然后得出每个观测点的表面积雪密度的时间序列。最后,我们可以通过将由克里格插值法得到的模式乘以相应的模式振幅来获得地表雪密度。我们的地表雪密度图和模型结果之间进行了比较分析。以上细节将在本文中介绍。

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