Abstract, code, poster and proceedings "Optimal forward calculation method of the Marussi tensor due to a geologic structure at GOCE height" presented at the 2011 4th International GOCE User Workshop in Munich, Germany
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
abstract
figures
poster
proceeding
README.md

README.md

Optimal forward calculation method of the Marussi tensor due to a geologic structure at GOCE height

by Leonardo Uieda, Everton P. Bomfim, Carla Braitenberg, and Eder Molina

Abstract, code, poster and proceedings presented at the 4th International GOCE User Workshop in Munich, Germany.

Poster is available on figshare: doi:10.6084/m9.figshare.92624

A PDF of the proceedings is available from: leouieda.com

Results were generated using open-source software Tesseroids.

Citation:

Uieda, L., E. P. Bomfim, C. Braitenberg, and E. Molina (2011), Optimal forward calculation method of the Marussi tensor due to a geologic structure at GOCE height, Proc. of 4th International GOCE User Workshop, pp. 1-5

Abstract

The new observations of GOCE present a challenge to develop new calculation methods that take into account the sphericity of the Earth. We address this problem by using a discretization with a series of tesseroids. There is no closed formula giving the gravitational fields of the tesseroid and numerical integration methods must be used, such as the Gauss Legendre Cubature (GLC). A problem that arises is that the computation times with the tesseroids are high. Therefore, it is important to optimize the computations while maintaining the desired accuracy. This optimization was done using an adaptive computation scheme that consists of using a fixed GLC order and recursively subdividing the tesseroids. We have obtained an optimum ratio between the size of the tesseroid and its distance from the computation point. Furthermore, we show that this size-to-distance ratio is different for the gravitational attraction than for the gravity gradient tensor.