Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

Zeising, Ole; Steinhage, Daniel; Berger, Sophie; Drews, Reinhard; Ershadi, M Reza; Fromm, Tanja; Hattermann, Tore; Pattyn, Frank; Eisen, Olaf: Time series of autonomous phase-sensitive radar (ApRES) measurements and determined basal melt rates at location EIS8 on Ekström Ice Shelf, Antarctica from November 2021 to December 2022 [dataset bundled publication]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.972023 (dataset in review)

Show MapGoogle Earth

Abstract:
The dataset consists of raw data and derived melt rates from autonomous phase-sensitive radar (ApRES) measurements. The ApRES was operated with two broadband frame antennas at the Ekström Ice Shelf since April 2020 with one measurement every hour. These Lagrangian measurements allow the estimation of basal melt rates based on estimated vertical displacements of englacial and basal reflections. The ApRES is an autonomous operating frequency-modulated continuous wave (FMCW) radar that transmits a tone sweep - called chirp - ranging from 200 to 400 MHz over a period of one second. In order to improve the signal-to-noise ratio, 20 chirps were transmitted within a single measurement. These measurements were repeated every hour. A raw data file contains up to 4 measurements. Background of the pRES-system is published by Nicholls et al. (2015). The processing of the data is described in Zeising et al., (submitted to The Cryosphere).
The estimated basal melt rates are based on the analysis of firn densification, strain thinning, and the change in ice thickness from the determination of vertical displacements. The basal melt rates are averaged over 7 days (moving window). To represent the variability of the melt rate on sub-weekly timescales, we also calculated the 7 day standard deviation of the basal melt rates based on a 1 day moving window. The uncertainty of the basal melt rate is based on the uncertainty of the strain estimation and the determination of the ice thickness change. Data are exported in 4 hour intervals. A positive melt rate represents melting. Details on the processing are given in Zeising et al., (submitted to The Cryosphere).
Keyword(s):
Antarctica; ApRES; Basal melt rates; Ekström; ice shelf basal melting
Supplement to:
Zeising, Ole; Hattermann, Tore; Kaleschke, Lars; Berger, Sophie; Drews, Reinhard; Ershadi, M Reza; Fromm, Tanja; Pattyn, Frank; Steinhage, Daniel; Eisen, Olaf (submitted): Weakening of meltwater plume reduces basal melting in summer at Ekström Ice Shelf, Antarctica. The Cryosphere Discussions, https://doi.org/10.5194/egusphere-2024-2109
Related to:
Eisen, Olaf; Oerter, Hans; Weller, Rolf; Miller, Heinrich: Long-Term Observatory Glaciology at the Neumayer stations and hinterland [dataset bibliography]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.971649
Nicholls, Keith W; Corr, Hugh F J; Stewart, Craig L; Lok, Lai Bun; Brennan, Paul V; Vaughan, David G (2015): A ground-based radar for measuring vertical strain rates and time-varying basal melt rates in ice sheets and shelves. Journal of Glaciology, 61(230), 1079-1087, https://doi.org/10.3189/2015JoG15J073
Zeising, Ole; Steinhage, Daniel; Berger, Sophie; Drews, Reinhard; Ershadi, M Reza; Fromm, Tanja; Hattermann, Tore; Pattyn, Frank; Eisen, Olaf (2024): Time series of autonomous phase-sensitive radar (ApRES) measurements and determined basal melt rates on Ekström Ice Shelf, Antarctica [dataset bibliography]. PANGAEA, https://doi.org/10.1594/PANGAEA.972121
Funding:
Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven (AWI), grant/award no. AWI_ANT_8: Quasi-Long-Term Observatory Glaciology at Neumayer station
Coverage:
Latitude: -70.820000 * Longitude: -8.730000
Date/Time Start: 2021-11-26T00:00:00 * Date/Time End: 2022-12-31T07:22:00
Comment:
If you have questions, please contact Ole Zeising (ole.zeising@awi.de) or co-authors.
Data were measured in the field by: Noah Trumpik, Ina Wehner (2019/20 & 2020/21); Timo Dornhöfer, Lorenz Marten (2020/21 & 2021/22); Falk Oraschewski, Martin Petri, Maximilian Betz (2022/23); Hameed Moqadam, Fyntan Shaw (2023/24).
Data processing was done by Ole Zeising.
This dataset has been planned by Olaf Eisen as part of the MIMO-EIS Project.
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0) (License comes into effect after moratorium ends)
Size:
2 datasets

Download Data (login required; moratorium until 2025-08-28)

Download ZIP file containing all datasets as tab-delimited text — use the following character encoding: