Articles | Volume 6, issue 2
https://doi.org/10.5194/gi-6-345-2017
https://doi.org/10.5194/gi-6-345-2017
Research article
 | 
20 Sep 2017
Research article |  | 20 Sep 2017

A low-power data acquisition system for geomagnetic observatories and variometer stations

Achim Morschhauser, Jürgen Haseloff, Oliver Bronkalla, Carsten Müller-Brettschneider, and Jürgen Matzka

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Cited articles

Almonacid, F., Rus, C., Pérez-Higueras, P., and Hontoria, L.: Calculation of the energy provided by a PV generator. Comparative study: Conventional methods vs. artificial neural networks, Energy, 36, 375–384, https://doi.org/10.1016/j.energy.2010.10.028, 2011.
Barbosa, C., Alves, L., Caraballo, R., Hartmann, G. A., Papa, A. R., and Pirjola, R. J.: Analysis of geomagnetically induced currents at a low-latitude region over the solar cycles 23 and 24: comparison between measurements and calculations, J. Space Weather Space Clim., 5, A35, https://doi.org/10.1051/swsc/2015036, 2015.
Bracke, S., Gonsette, A., Rasson, J., Poncelet, A., and Hendrickx, O.: Automated observatory in Antarctica: real-time data transfer on constrained networks in practice, Geosci. Instrum. Method. Data Syst. Discuss., https://doi.org/10.5194/gi-2017-17, in review, 2017.
Chulliat, A., Savary, J., Telali, K., and Lalanne, X.: Acquisition of 1-second data in IPGP magnetic observatories, in: Proceedings of the XIIIth IAGA Workshop on Geomagnetic Observatory Instruments, Data Acquisition, and Processing, edited by Love, J. J., Vol. 1226, US Geological Survey, available at: https://pubs.usgs.gov/of/2009/1226/ (last access: 1 May 2017), 2009.
Chulliat, A., Matzka, J., Masson, A., and Milan, S. E.: Key Ground-Based and Space-Based Assets to Disentangle Magnetic Field Sources in the Earths Environment, Space Sci. Rev., 206, 123–156, https://doi.org/10.1007/s11214-016-0291-y, 2016.
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Short summary
A modern geomagnetic observatory is expected to record geomagnetic data with high stability, high resolution, and high reliability. Also, geomagnetic observatories may be located in remote areas, requiring low power consumption and simple maintenance. Here, we present a new data logger system that was designed to meet these criteria. This system is based on a Raspberry Pi embedded PC and includes a modular C++ software package which can be adapted to specific observatory setups.