A comparison of two spectral approaches for computing the Earth response to surface loads

Citation
E. Le Meur et Rca. Hindmarsh, A comparison of two spectral approaches for computing the Earth response to surface loads, GEOPHYS J I, 141(2), 2000, pp. 282-298
Citations number
43
Categorie Soggetti
Earth Sciences
Journal title
GEOPHYSICAL JOURNAL INTERNATIONAL
ISSN journal
0956540X → ACNP
Volume
141
Issue
2
Year of publication
2000
Pages
282 - 298
Database
ISI
SICI code
0956-540X(200005)141:2<282:ACOTSA>2.0.ZU;2-L
Abstract
When predicting the deformation of the Earth under surface loads, most mode ls follow the same methodology, consisting of producing a unit response tha t is then con-volved with the appropriate surface forcing. These models tak e into account the whole Earth, and are generally spherical, computing a un it response in terms of its spherical harmonic representation through the u se of load Love numbers. From these Love numbers, the spatial pattern of th e bedrock response to any particular scenario can be obtained. Two differen t methods are discussed here. The first, which is related to the convolutio n in the classical sense, appears to be very sensitive to the total number of degrees used when summing these Love numbers in the harmonic series in o rder to obtain the corresponding Green's function. We will see from the spe ctral properties of these Love numbers how to compute these series correctl y and how consequently to eliminate in practice the sensitivity to the numb er of degrees (Gibbs Phenomena). The second method relies on a preliminary harmonic decomposition of the load, which reduces the convolution to a simp le product within Fourier space. The convergence properties of the resultin g Fourier series make this approach less sensitive to any harmonic cut-off. However, this method can be more or less computationally expensive dependi ng on the loading characteristics. This paper describes these two methods, how to eliminate Gibbs phenomena in the Green's function method, and shows how the load characteristics as well as the available computational resourc es can be determining factors in selecting one approach.