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An effective filtering for GRACE time-variable gravity: Fan filter

文献类型:期刊论文

作者Zhang, Zi-Zhan ; Chao, B. F. ; Lu, Yang ; Hsu, Hou-Tse
刊名Geophysical Research Letters
出版日期2009
中文摘要Spatial low-pass filtering is necessary for processing the GRACE time-variable gravity (TVG) data which are otherwise plagued with short-wavelength noises. Here we devise a new non-isotropic filter, called the fan filter: In terms of the spherical harmonic spectrum, the fan filter is simply a 2-D double filter consisting of a low-pass along the degree n (the same as the conventional isotropic filter) simultaneously with a low-pass along the order m, whose contour projection onto the (n, m) plane is fan-shaped. It is deterministic and independent of a priori or external information, its implementation is straightforward, and the result is objective. Most importantly, we show that this simple filter performs well among its counterparts under similar conditions, in particular against the N-S striping noises prevalent in the GRACE TVG solutions. We demonstrate this with Gaussian weights at filter length and hence spatial resolution as fine as 300 km. We also deduce the fan filter's nominal amplitude-reduction factor as a function of the filter length for TVG signals that follow the Kaula rule. Citation: Zhang, Z.-Z., B. F. Chao, Y. Lu, and H.-T. Hsu (2009), An effective filtering for GRACE time-variable gravity: Fan filter, Geophys. Res. Lett., 36, L17311, doi: 10.1029/2009GL039459.
原文出处://WOS:000269635600002
公开日期2012-04-11
源URL[http://ir.whigg.ac.cn/handle/342008/3559]  
专题测量与地球物理研究所_其他_期刊论文
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GB/T 7714
Zhang, Zi-Zhan,Chao, B. F.,Lu, Yang,et al. An effective filtering for GRACE time-variable gravity: Fan filter[J]. Geophysical Research Letters,2009.
APA Zhang, Zi-Zhan,Chao, B. F.,Lu, Yang,&Hsu, Hou-Tse.(2009).An effective filtering for GRACE time-variable gravity: Fan filter.Geophysical Research Letters.
MLA Zhang, Zi-Zhan,et al."An effective filtering for GRACE time-variable gravity: Fan filter".Geophysical Research Letters (2009).

入库方式: OAI收割

来源:测量与地球物理研究所

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