Swath elevation from CryoSat-2 over the Antarctic ice Sheet, 2011-2016

• Main Authors: Gourmelen, Noel, Weissgerber, Flora
• Format: Dataset
• Language: English
• Published: UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation 2019
• Subjects: "EARTH SCIENCE","CRYOSPHERE","GLACIERS/ICE SHEETS","GLACIER ELEVATION/ICE SHEET ELEVATION"; "EARTH SCIENCE","CRYOSPHERE","GLACIERS/ICE SHEETS","ICE SHEETS"; "EARTH SCIENCE","TERRESTRIAL HYDROSPHERE","GLACIERS/ICE SHEETS","GLACIER ELEVATION/ICE SHEET ELEVATION"; "EARTH SCIENCE","TERRESTRIAL HYDROSPHERE","GLACIERS/ICE SHEETS","ICE SHEETS"; Antarctic; Roca; The Antarctic; Antarc*; Ice Sheet
• Online Access: https://dx.doi.org/10.5285/926b5321-408f-4560-b72d-f38bbe97ac21; https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01136

These files are surface elevation determined from swath processing of data acquired by the interferometric radar altimeter CryoSat-2. The data have been collected and processed over the Antarctic Ice Sheet between 2011 and 2016. These data have been processed by the University of Edinburgh and are made publicly available as part of the European Space Agency funded project CryoTop and CryoTop Evolution involving the University of Edinburgh, isardSat UK, University of Leeds-CPOM, ENVEO. : The swath elevation data are produced from CryoSat-2 as described in the following paper: Gourmelen, N, Escorihuela, M, Shepherd, A, Foresta, L, Muir, A, Garcia-Mondejar, A, Roca, M, Baker, S & Drinkwater, MR 2017, 'CryoSat-2 swath interferometric altimetry for mapping ice elevation and elevation change' Advances in Space Research. DOI: 10.1016/j.asr.2017.11.014 : CryoSat-2 spaceborne interferometric radar altimeter. : There is a minimal amount of editing of the data as to provide maximum flexibility. The user should therefore use caution, as the dataset will contain measurements of variable quality. The user should make use of the quality estimator provided, e.g. signal coherence and signal power. A typical minimum value of coherence is 0.8 and a typical minimum value of power is -170. It is also recommended to the user to check for remaining errors using a reference DEM (e.g. Bedmap2, REMA, TanDEM-X) as to identify remaining data blunders that would originate from sensor or processing errors. Details of data quality, potential issues, and validations can be found in Gourmelen et al., 2017 and in literature listed here.