IAG-IASPEI 2017

Presentation information

Poster

Joint Symposia » J09. Geodesy and seismology general contributions

[J09-P] Poster

Fri. Aug 4, 2017 3:00 PM - 4:00 PM Shinsho Hall (The KOBE Chamber of Commerce and Industry, 3F)

3:00 PM - 4:00 PM

[J09-P-11] GOCE User Toolbox and Tutorial

Per Knudsen1, Jerome Benveniste2 (1.DTU Space, Technical University of Denmark, Geodesy, 2.ESA-ESRIN, Frascati, Italy)

The GOCE User Toolbox GUT is a compilation of tools for the utilisation and analysis of GOCE Level 2 products.
GUT support applications in Geodesy, Oceanography and Solid Earth Physics. The GUT Tutorial provides information
and guidance in how to use the toolbox for a variety of applications. GUT consists of a series of advanced
computer routines that carry out the required computations. It may be used on Windows PCs, UNIX/Linux Workstations,
and Mac. The toolbox is supported by The GUT Algorithm Description and User Guide and The GUT
Install Guide. A set of a-priori data and models are made available as well. Without any doubt the development
of the GOCE user toolbox have played a major role in paving the way to successful use of the GOCE data for
oceanography.

The GUT version 2.2 was released in April 2014 and beside some bug-fixes it adds the capability for the computation of Simple Bouguer Anomaly (Solid-Earth). During this fall a new GUT version 3 has been released. GUTv3 was further developed through a collaborative effort where the scientific communities participate aiming
on an implementation of remaining functionalities facilitating a wider span of research in the fields of Geodesy,
Oceanography and Solid earth studies.
Accordingly, the GUT version 3 has:

- An attractive and easy to use Graphic User Interface (GUI) for the toolbox,

- Enhance the toolbox with some further software functionalities such as to facilitate the use of gradients,
anisotropic diffusive filtering and computation of Bouguer and isostatic gravity anomalies.

- An associated GUT VCM tool for analyzing the GOCE variance covariance matrices.