From Australian Oceans Data Network

Data for: Pan-Antarctic assessment of ocean wave induced flexural stresses on ice shelves

Created 12/03/2025

Updated 12/03/2025

A mathematical model (Bennetts et. al, 2022, doi.org/10.1029/2022GL100868) is used to analyse the ocean wave transfer to the Ross Ice Shelf flexure. The results showed significant impact of shelf geometry and wave period on flexural strain. The presented study further investigates the impact of geometrical variations on shelf flexure by doing a case study on the Larsen C Ice Shelf. The analysis also extended to multiple ice shelves to providing statistical relationships between shelf flexure and ice shelf thickness and seabed variation across the range of wave periods (swell, infra-gravity, and extremely long period waves). The geometry data of ice shelves are collected from the Bedmap2 dataset (Fretwell et al, 2013, doi.org/10.5194/tc-7-375-2013) and feed into our model to calculate the corresponding flexural strain and stored in our data files. Our dataset consists of MAT-files which require MATLAB to read the data. The folder includes a data folder and some MATLAB functions to produce the figures as shown in the paper (Jie et. al, (submitted 2023)). The data folder consists 7 MAT files named "Fig_number" where each file is for generating the corresponding figure. Data file named "3km_divided_thick_updated" includes all the input/output data collected of 15 ice shelves for statistical analysis. We also made a comparison between BedMachine3 and BEDMAP2 (BedMachine3 (Morlighem, Mathieu, et al. 2020, https://www.nature.com/articles/s41561-019-0510-8) is another dataset containing Antarctic geometry data). The data "Larsen_bedmachine3" and "Larsen_bedmap2" include the outputs (flexure strain) of the Larsen C Ice Shelf using the geometry from BedMachine3 and BEDMAP2 and "Larsen_map_Bedmachine" and "Map_Larsen_c" and are for producing the maps of Larsen C from BedMachine3 and BEDMAP2 respectively. Eight MATLAB scripts are included to recreate results from Jie et al (submitted). "Fig_1_model" is for producing a geometry of Larsen C using BEDMAP2, "Fig_2_3_varying_geometry" is for geometry variation analysis for Larsen C, "Fig_4_strain_profile" is to show the strain for all the transects covering Larsen C, "Fig_5_Box_plot_with_period_Outliners" is for producing box-plot of strain with outliers for Larsen C, "Fig_6_Box_plot_with_period_all_shelf" is for producing median strain over wave periods for 15 ice shelves, "Fig_7_8_Box_plot_with_shelves_correlation_log" and "Fig_9_correlation_and_periods" are showing the correlation of strain and shelf front thickness / water cavity depth. "Fig_10_Box_plot_with_period_Outliners" is showing a comparison of BedMachine3 and BEDMAP2 using Larsen C as an example.

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Additional Info

Field Value
Title Data for: Pan-Antarctic assessment of ocean wave induced flexural stresses on ice shelves
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/55ea3165-6481-4cf1-8bc4-cae66a2f53e9
Contact Point
CSIRO Oceans & Atmosphere
metadata@aad.gov.au
Reference Period 01/11/2022 - 01/10/2023
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Data for: Pan-Antarctic assessment of ocean wave induced flexural stresses on ice shelves". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/data-for-pan-antarctic-assessment-of-ocean-wave-induced-flexural-stresses-on-ice-shelves

No duplicate datasets found.