Minimize What is GOCE?
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ESA's dart-like Gravity field and Ocean Circulation Explorer (GOCE) Earth Explorer orbits as close to Earth as possible - just 260 km up - to maximise its sensitivity to variations in Earth's gravity field.

Launched in 2009, GOCE's state-of-the-art gradiometer is mapping Earth's geoid to an unprecedented level of accuracy, opening a window into Earth's interior structure as well as the currents circulating within the depths of it's oceans.

Minimize Latest Mission Operations News

Level 1 data of the redundant GOCE GPS receiver covering the de-orbiting phase uploaded

09 March 2018

The level 1 data of the redundant GOCE GPS receiver have been made available on the GOCE Virtual Online Archive. The data set contains the RINEX data and the SST nominal L1b products and covers the de-orbiting period.

Release 5 of GOCE gridded gravity gradients and anomalies available

04 May 2017

The release 5 of the GOCE space wise grids at ground level and at satellite height have been made available on the GOCE Virtual Online Archive. The updated grids can be accessed via the archive under 'GOCE Gravity Models'.

Minimize Latest Mission Results News
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Searching for underground energy sources from space

27 July 2015

Data from ESA's GOCE gravity satellite are being used to improve models of Earth's geology, indicating the potential locations of subsurface energy sources.

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Join the virtual classroom

04 May 2015

Registration is open for a free online course that provides an introduction to monitoring climate change using satellite Earth observation.

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GOCE helps tap into sustainable energy resources

16 April 2015

Going far above and beyond its original mission objectives, results from the GOCE gravity satellite are now being used to produce maps for geothermal energy development.

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Understanding the 'OC' in GOCE

25 November 2014

A year after the satellite reentered the atmosphere, scientists using data from the GOCE satellite have made a breakthrough in our understanding of ocean currents.

Minimize GOCE Data Quality