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The most remote point method for the site selection of the future GGOS network

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Abstract

The Global Geodetic Observing System (GGOS) proposes 30–40 geodetic observatories as global infrastructure for the most accurate reference frame to monitor the global change. To reach this goal, several geodetic observatories have upgrade plans to become GGOS stations. Most initiatives are driven by national institutions following national interests. From a global perspective, the site distribution remains incomplete and the initiatives to improve this are up until now insufficient. This article is a contribution to answer the question on where to install new GGOS observatories and where to add observation techniques to existing observatories. It introduces the iterative most remote point (MRP) method for filling in the largest gaps in existing technique-specific networks. A spherical version of the Voronoi-diagram is used to pick the optimal location of the new observatory, but practical concerns determine its realistic location. Once chosen, the process is iterated. A quality and a homogeneity parameter of global networks measure the progress of improving the homogeneity of the global site distribution. This method is applied to the global networks of VGOS, and VGOS co-located with SLR to derive some clues about where additional observatory sites or additional observation techniques at existing observatories will improve the GGOS network configuration. With only six additional VGOS-stations, the homogeneity of the global VGOS-network could be significantly improved by more than \(45\,\%\). From the presented analysis, 25 known or new co-located VGOS and SLR sites are proposed as the future GGOS backbone: Colombo, Easter Island, Fairbanks, Fortaleza, Galapagos, GGAO, Hartebeesthoek, Honiara, Ibadan, Kokee Park, La Plata, Mauritius, McMurdo, Metsahövi, Ny Alesund, Riyadh, San Diego, Santa Maria, Shanghai, Syowa, Tahiti, Tristan de Cunha, Warkworth, Wettzell, and Yarragadee.

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Notes

  1. IVS, http://ivscc.gsfc.nasa.gov.

  2. ILRS, http://ilrs.gsfc.nasa.gov.

  3. IGS, http://igscb.jpl.nasa.gov.

  4. IDS, http://ids-doris.org.

  5. The number of plates as well as their exact position is under scientific discussion. The used model is just one simple example to visualize the MRP method in conjunction with such a geophysical tectonic plate model.

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Authors and Affiliations

  1. Bundesamt für Kartographie und Geodäsie, Sackenrieder Str. 25, 93444 , Bad Kötzting, Germany

    Hayo Hase

  2. Wisconsin IceCube Particle Astrophysics Center, University of Wisconsin-Madison, Madison, WI , 53706, USA

    Felipe Pedreros

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  1. Hayo Hase
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  2. Felipe Pedreros
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Correspondence to Hayo Hase.

Appendix

Appendix

The appendix contains as example a table of the computed circumcircle for the identification of the MRP Table 5.

Table 5 VGOS-network: computation of Voronoi-points
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Hase, H., Pedreros, F. The most remote point method for the site selection of the future GGOS network. J Geod 88, 989–1006 (2014). https://doi.org/10.1007/s00190-014-0731-y

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