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Volume 9, issue 2
Earth Syst. Sci. Data, 9, 751-764, 2017
https://doi.org/10.5194/essd-9-751-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Earth Syst. Sci. Data, 9, 751-764, 2017
https://doi.org/10.5194/essd-9-751-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Review article 09 Oct 2017

Review article | 09 Oct 2017

A 14-year dataset of in situ glacier surface velocities for a tidewater and a land-terminating glacier in Livingston Island, Antarctica

Francisco Machío1, Ricardo Rodríguez-Cielos2, Francisco Navarro3, Javier Lapazaran3, and Jaime Otero3 Francisco Machío et al.
  • 1Escuela Superior de Ingeniería y Tecnología, Universidad Internacional de La Rioja (UNIR), Calle Almansa, 101, 28040 Madrid, Spain
  • 2Departamento de Señales, Sistemas y Radiocomunicaciones, ETSI de Telecomunicación, Universidad Politécnica de Madrid, Av. Complutense, 30, 20040 Madrid, Spain
  • 3Departamento de Matemática Aplicada a las Tecnologías de la Información y las Comunicaciones, ETSI de Telecomunicación, Universidad Politécnica de Madrid, Av. Complutense, 30, 20040 Madrid, Spain

Abstract. We present a 14-year record of in situ glacier surface velocities determined by repeated global navigation satellite system (GNSS) measurements in a dense network of 52 stakes distributed across two glaciers, Johnsons (tidewater) and Hurd (land-terminating), located on Livingston Island, South Shetland Islands, Antarctica. The measurements cover the time period 2000–2013 and were collected at the beginning and end of each austral summer season. A second-degree polynomial approximation is fitted to each stake position, which allows estimating the approximate positions and associated velocities at intermediate times. This dataset is useful as input data for numerical models of glacier dynamics or for the calibration and validation of remotely sensed velocities for a region where very scarce in situ glacier surface velocity measurements have been available so far. The link to the data repository is as follows: http://doi.pangaea.de/10.1594/PANGAEA.846791.

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