Preprints
https://doi.org/10.5194/essd-2024-511
https://doi.org/10.5194/essd-2024-511
27 Nov 2024
 | 27 Nov 2024
Status: this preprint is currently under review for the journal ESSD.

Airborne Gravimetry with Quantum Technology: Observations from Iceland and Greenland

Tim Enzlberger Jensen, Bjørnar Dale, Andreas Stokholm, René Forsberg, Alexandre Bresson, Nassim Zahzam, Alexis Bonnin, and Yannick Bidel

Abstract. We report on the availability of data from an airborne gravity campaign in Iceland and Greenland, conducted during June and July 2023. The dataset includes observations from a platform stabilised gravimeter based on cold-atom quantum technology and a strapdown gravimeter based on classical technology. The data is available in three different levels of processing making it relevant to users interesting in working with "quantum" and "hybrid" data as well as users interested in geophysical studies. The manuscript describes the data processing applied to derive the various levels of data and presents an evaluation of the data accuracy. This evaluation indicates an accuracy of 1 to 2 mGal for both sensors, depending on the roughness of the gravity field. Although the two technologies lead to similar performance, further analysis indicates that the error characteristics are different and that final estimates would benefit from a combination.

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Tim Enzlberger Jensen, Bjørnar Dale, Andreas Stokholm, René Forsberg, Alexandre Bresson, Nassim Zahzam, Alexis Bonnin, and Yannick Bidel

Status: open (until 04 Jan 2025)

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Tim Enzlberger Jensen, Bjørnar Dale, Andreas Stokholm, René Forsberg, Alexandre Bresson, Nassim Zahzam, Alexis Bonnin, and Yannick Bidel
Tim Enzlberger Jensen, Bjørnar Dale, Andreas Stokholm, René Forsberg, Alexandre Bresson, Nassim Zahzam, Alexis Bonnin, and Yannick Bidel

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Short summary
The availability of data from two airborne gravity campaigns using sensors based on both classical and quantum technology is presented. Data is made available by the European Space Agency as raw, intermediate and final data products. Here raw refers to the sensor output while final refers to the along-track gravity estimates. This makes the data relevant for users interested in applications ranging from data processing and quantum studies to geophysical studies using gravity observations.
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