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

• Other Authors: AADC (owner), AADC, DATA OFFICER (distributor), AADC, DATA OFFICER (custodian), AU/AADC > Australian Antarctic Data Centre, Australia (hasAssociationWith), Australian Antarctic Data Centre (publisher), Australian Antarctic Division (sponsor), BENNETTS, LUKE (collaborator), BENNETTS, LUKE (hasPrincipalInvestigator), LIANG, JIE (collaborator), LIANG, JIE (hasPrincipalInvestigator), LIANG, JIE (author), Liang, J., Bennetts, L. and Pitt, J. (originator), PITT, JORDAN (hasPrincipalInvestigator)
• Format: Dataset
• Language: unknown
• Published: Australian Ocean Data Network
• Subjects: oceans; EARTH SCIENCE > OCEANS > OCEAN WAVES > GRAVITY WAVES; CRYOSPHERE > SEA ICE > ICE TYPES; MODELS > OCEAN GENERAL CIRCULATION MODELS (OGCM)/REGIONAL OCEAN MODELS; OCEAN WAVES; FLEXURE STRAIN; SHELF VIBRATION; ANTARCTIC ICE SHELF; Computer > Computer; MODELS; AMD/AU; AMD; CEOS; CONTINENT > ANTARCTICA; GEOGRAPHIC REGION > POLAR; OCEAN > SOUTHERN OCEAN > SOUTHERN OCEAN; Antarc*; Antarctic; Antarctica; Ice Shelf; Ice Shelves; Ross Ice Shelf; Sea ice; Southern Ocean
• Online Access: https://researchdata.edu.au/data-for-pan-ice-shelves/2831100

Progress Code: onGoing Purpose The purpose of the data set is to show the effects of geometry variations on wave induced shelf flexure and providing a statistical analysis for multiple ice shelves. 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 ...