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
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
Correspondence: Francisco Machío (francisco.machio@unir.net)
Received: 19 Apr 2017 – Discussion started: 08 May 2017 – Revised: 25 Aug 2017 – Accepted: 30 Aug 2017 – Published: 09 Oct 2017
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.