Data

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

Australian Ocean Data Network
Liang, J., Bennetts, L. and Pitt, J. ; LIANG, JIE ; BENNETTS, LUKE ; PITT, JORDAN
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.aad.gov.au/metadata/records/AAS_4528_Multi_Shelf&rft.title=Data for: Pan-Antarctic assessment of ocean wave induced flexural stresses on ice shelves&rft.identifier=http://data.aad.gov.au/metadata/records/AAS_4528_Multi_Shelf&rft.publisher=Australian Antarctic Data Centre&rft.description=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.Progress Code: onGoing&rft.creator=Liang, J., Bennetts, L. and Pitt, J. &rft.creator=LIANG, JIE &rft.creator=BENNETTS, LUKE &rft.creator=PITT, JORDAN &rft.date=2023&rft_rights=This metadata record is publicly available.&rft_rights=These data are publicly available for download from the provided URL.&rft_rights= https://creativecommons.org/licenses/by/4.0/legalcode&rft_rights=This data set conforms to the CCBY Attribution License (http://creativecommons.org/licenses/by/4.0/). Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4528_Multi_Shelf when using these data. http://creativecommons.org/licenses/by/4.0/).&rft_rights=Portable Network Graphic&rft_rights=https://i.creativecommons.org/l/by/3.0/88x31.png&rft_rights=Creative Commons by Attribution logo&rft_rights=Attribution 4.0 International (CC BY 4.0)&rft_rights=Legal code for Creative Commons by Attribution 4.0 International license&rft_rights=Attribution 4.0 International (CC BY 4.0)&rft_rights= https://creativecommons.org/licenses/by/4.0/legalcode&rft_subject=oceans&rft_subject=EARTH SCIENCE > OCEANS > OCEAN WAVES > GRAVITY WAVES&rft_subject=EARTH SCIENCE > CRYOSPHERE > SEA ICE > ICE TYPES&rft_subject=EARTH SCIENCE > MODELS > OCEAN GENERAL CIRCULATION MODELS (OGCM)/REGIONAL OCEAN MODELS&rft_subject=EARTH SCIENCE > OCEANS > SEA ICE > ICE TYPES&rft_subject=EARTH SCIENCE > OCEANS > OCEAN WAVES&rft_subject=FLEXURE STRAIN&rft_subject=SHELF VIBRATION&rft_subject=ANTARCTIC ICE SHELF&rft_subject=Computer > Computer&rft_subject=MODELS > MODELS&rft_subject=AMD/AU&rft_subject=AMD&rft_subject=CEOS&rft_subject=CONTINENT > ANTARCTICA&rft_subject=GEOGRAPHIC REGION > POLAR&rft_subject=OCEAN > SOUTHERN OCEAN > SOUTHERN OCEAN&rft.type=dataset&rft.language=English Access the data

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Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4528_Multi_Shelf when using these data.
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Brief description

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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Progress Code: onGoing

Notes

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.

Data time period: 2022-11-01 to 2023-10-01

This dataset is part of a larger collection

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Other Information
Download the dataset. (GET DATA > DIRECT DOWNLOAD)

uri : https://data.aad.gov.au/eds/5774/download

Identifiers
  • global : AAS_4528_Multi_Shelf