2012
DOI: 10.1007/s00190-012-0543-x
|View full text |Cite
|
Sign up to set email alerts
|

The spherical Slepian basis as a means to obtain spectral consistency between mean sea level and the geoid

Abstract: The mean dynamic topography (MDT) can be computed as the difference between the mean sea level (MSL) and a gravimetric geoid. This requires that both data sets are spectrally consistent. In practice, it is quite common that the resolution of the geoid data is less than the resolution of the MSL data, hence, the latter need to be low-pass filtered before the MDT is computed. For this purpose conventional low-pass filters are inadequate, failing in coastal regions where they run into the undefined MSL signal on … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
16
0

Year Published

2013
2013
2017
2017

Publication Types

Select...
5
4

Relationship

1
8

Authors

Journals

citations
Cited by 31 publications
(17 citation statements)
references
References 32 publications
1
16
0
Order By: Relevance
“…A hard truncation of the SRBFs at the maximum degree of the low-resolution dataset is the right choice in global quasi-geoid modelling, but provides a wrong functional model in local quasi-geoid modelling. This is in line with the results in (Slobbe et al 2012). Applying a taper to both the low-resolution dataset and the SRBF model solves this problem.…”
Section: Discussionsupporting
confidence: 88%
“…A hard truncation of the SRBFs at the maximum degree of the low-resolution dataset is the right choice in global quasi-geoid modelling, but provides a wrong functional model in local quasi-geoid modelling. This is in line with the results in (Slobbe et al 2012). Applying a taper to both the low-resolution dataset and the SRBF model solves this problem.…”
Section: Discussionsupporting
confidence: 88%
“…We transformed the geopotential fields into surface mass density by removing the gravitational effect of instantaneous elastic deformation arising from current mass change (le Meur and Huybrechts, 1996), in a Love number loading formalism (Wahr et al, 1998). We did not correct for the bias of migrating water that accompanies changes in ice mass (Sterenborg et al, 2013), nor did we account for the influence of recent sea level rise trends in the Southern Ocean (Rye et al, 2014) on our estimation. Global surface mass density fields were projected into a Slepian basis specifically designed for the regions of interest, such as all of Antarctica, its regions West Antarctica, the Peninsula, Dronning Maud and Wilkes Lands, and so on.…”
Section: Data and Modelsmentioning
confidence: 99%
“…Several sophisticated approaches to optimal filtering of an altimetric MDT have recently been developed (e.g. Bingham et al 2011;Knudsen et al 2011;Slobbe et al 2012;Becker et al 2014), each of which has pointed to the deficiencies of simple low-pass spatial filtering of the MDT field to reduce noise. However, in the present case we believe that such a simple approach is adequate in describing the MDT's main features.…”
Section: Mdt From Altimetry Minus Geoidmentioning
confidence: 99%