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Understanding and parameterising the relationship between ice mélange thickness and melt rate in Greenland's glacial fjords: datasets and code

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Zenodo2026-07-03 更新2026-08-02 收录
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Datasets and code assosciated with "Understanding and parameterising the relationship between ice mélange thickness and melt rate in Greenland's glacial fjords". This archive contains: code.zip: the code directory needed to recreate the numerical simulations input_m100_q300_t0_s0.zip: the input directory needed to create the m100_q300_t0_s0 simulation melange_profiles.zip: all five of the mélange profiles used in the simulations as well as the script used to generate the mélange profiles output_m100_q300_t0_s0.zip: the output of the m100_q300_t0_s0 simulation temperature_salinity_profiles.zip: the temperature and salinity profiles used in the simulations figures7_8_9.zip: the scripts needed to produce Figures 7, 8 and 9 in the main text as well as Figures S14, S15 and S16 in the Supplementary Material. To create the numerical simulations within MITgcm, only the "code" and "input" directories are needed. The desired temperature profile, subglacial discharge flux and mélange profile can be selected in the "gendata.m" script within the input directory. Running this gendata.m script then generates the input binary files needed to run the simulation. Running the scripts fig7a.m, fig7b.m, fig8_fig9.m, figS14.m, figS15_S16.m should produce the relevant figure (though BedMachine Greenland will need to be downloaded to produce Figures 7 and S14). The monthly averaged ocean thermal forcing data are saved here as .mat files and are from Slater and Straneo (2022); instructions for downloading these can be found at https://github.com/donaldaslater/slater_2022_submelt/tree/master/data. BedMachine Greenland is available from e.g. https://nsidc.org/data/idbmg4/versions/4

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2026-07-03
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