http://bolin.su.se/data/tarfala-kirchner-2017-bathymetry-1 Jakob Kuttenkeuler, Nina Kirchner Bolin Centre Database 2017 Datafile Lacustrine Bathymetry Autonomous hydrographic mapping Bathymetry Lake Tarfala Earth science > Terrestrial hydrosphere > Surface water > Lakes Nina Kirchner 2017-10-19T11:55:38+00:00 English 1 None ANKA data was acquired using an echosounder of type AIRMAR® EchoRange™ Smart™ Sensor, operated at 200kHz. Data is stored in xls files, as longitude, latitude and depth. Approximately 40 000 individual single beam echo sounder pings are included. The data has been cleaned for obvious outliers. Historical data by Larje and Nyberger (1960) has been digitized and is provided as xlsx files. The dataset, available in one zip-file, includes four data files and one image file: ANKA_all_soundingsNK.xlsx ANKA_cleaned_soundingsNK.xlsx Bathymetry_Tarfala_NK.png Larje_Nybeger_cropped_soundings_digitized_NK.xlsx Larje_Nyberger_all_soundings_digitizedNK.xlsx Pro-glacial high alpine lakes, like Lake Tarfala, potentially hold preserved sediment archives revealing changes in climatically forced glacier activity and ecosystems. Here, we present the first modern bathymetric dataset of Lake Tarfala, containing more that 38000 depth-soundings. The ANKA dataset replaces the previously best-available dataset, published in 1960 from 257 depth-soundings conducted in 1959. A comparison of the two datasets shows that the map constructed from the 1960 data is surprisingly accurate despite it lacks exact GPS positioning, but that the position of single features, e.g. the deepest point of the lake, depends on the spatial resolution of the bathymetric map. The bathymetric dataset from Lake Tarfala presented here is shared with the community with the aim to provide base data useful in future studies of the lake, as well as to inspire for further autonomous mapping campaigns in sparsely monitored high northern latitude lakes. Project partners Jakob Kuttenkeuler, KTH Royal Institute of Technology, Stockholm, jakob[at]kth.se Nina Kirchner, Stockholm Universtity (SU) and KTH, nina.kirchner[at]natgeo.su.se Elias Strandell Erstorp, KTH, eliasse[at]kth.se Gunhild Rosqvist, SU, ninis.rosqvist[at]natgeo.su.se. <a href="https://www.youtube.com/watch?v=la8HCtpZRK8">Video from mapping campaign</a> <a href="https://www.ave.kth.se/avd/naval/cute/projects/autonomous-hydrographic-mapping-1.560612">Autonomous Hydrographic Mapping at KTH</a>