2008
DOI: 10.3189/002214308787779924
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Iterative improvement of the shallow-ice approximation

Abstract: We present a new algorithm for a fast iterative improvement of the shallow-ice approximation (SIA) for the modeling of glacier flow. Based on the traditional SIA scaling assumptions, the solution of the Stokes problem is found by an operator-splitting iterative technique. The SIA solution obtained in the first step is successively improved to obtain a higher-order approximation. Each iterative step has computational demands comparable to solving the SIA, which makes the algorithm substantially faster than othe… Show more

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Cited by 11 publications
(11 citation statements)
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“…Most intermediate models are developed with the aim of improving the SIA model by accounting for the effects of LSG (Hubbard, 2000). As examples of this approach, Nye (1969), Shoemaker and Morland (1984), Kamb and Echelmeyer (1986), Marshall and others (2005) and Souček and Martinec (2008) introduce different physical or numerical means of parameterizing LSG effects. These methods are not completely satisfactory, however, as they add considerable mathematical and numerical complexity without fully describing the dynamical system.…”
Section: Introductionmentioning
confidence: 99%
“…Most intermediate models are developed with the aim of improving the SIA model by accounting for the effects of LSG (Hubbard, 2000). As examples of this approach, Nye (1969), Shoemaker and Morland (1984), Kamb and Echelmeyer (1986), Marshall and others (2005) and Souček and Martinec (2008) introduce different physical or numerical means of parameterizing LSG effects. These methods are not completely satisfactory, however, as they add considerable mathematical and numerical complexity without fully describing the dynamical system.…”
Section: Introductionmentioning
confidence: 99%
“…While it is possible in the model to improve the SIA solution by an iterative algorithm, described in Souček and Martinec (2008) and successfully tested in Pattyn et al (2008), only the first step of the algorithm, corresponding to the SIA solution, is used in the presented simulation. The model is numerically implemented by a finite difference technique (Souček, 2010;Souček and Martinec, 2011).…”
Section: Description Of the Numerical Modelmentioning
confidence: 99%
“…The convergence of the iterative algorithm which is controlled by two projection parameters, is ensured by choosing the parameters sufficiently small. Souček & Martinec (2008) applied this iterative technique on modelling of glacier flow. These ideas warrant further investigation, because a non-trivial contribution of the toroidal-poloidal mode coupled magnetic signals to the geomagnetic field at ground-based magnetic observatories situated close to the shoreline necessitates accounting for it in geomagnetic coastal-effect modelling.…”
Section: O N C L U S I O N S a N D F U T U R E W O R Kmentioning
confidence: 99%