**C.C. Tschernig1 - D.N. Arabelos2**

[1] Department of Geophysics, University of Copenhagen, Juliane Maries Vej 30, 2100 Copenhagen, Denmark

[2] Department of Geodesy and Surveying, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece

Using a realistic orbit for GOCE, IAG SC7 has created a one month gravity gradient dataset from EGM96 to degree 300, with
gradients referring to an instrument frame aligned with the velocity vector and the z-axis in the plane formed by this
vector and the position vector. From the second order derivative of the potential we subtracted the contribution
of EGM96 to degree 24. The resulted (noise free) data set was used to predict second order radial gravity gradient values
in a grid, covering the area of the Earth from
latitude using local Least-Squares
Collocation (LSC). The standard deviation of differences between predicted gridded values and values computed from EGM96
(degree 24 - 300) was between and (Eötvös unit = EU, 1 EU=
).
Correlated noise with a 3 mEU standard deviation and a correlation distance was added to the simulated data and
the gridding was repeated. The formal LSC error-estimates were 2 mEU. This was confirmed by comparing second order radial
derivatives from EGM96 with the values predicted from the data with noise.
The simulated data sets were used to generate spherical harmonic coefficients of the gravity potential to degree 300 using
Fast Spherical Collocation (FSC), with a global covariance function. Both the grid of noise-free data and the grid obtained
from the data with noise was used. Both results agreed with EGM96 within the error-bounds of the FSC estimate.
GOCE mission, Geopotential model, Fast spherical collocation

**Key words: GOCE mission, Geopotential model, Fast spherical collocation **

- Introduction
- Prediction of gridded data
- Estimation of spherical harmonic coefficients using FSC
- Conclusion
- Bibliography
- About this document ...