GRL_shallow_melting
Data underlying the figures in "Antarctic Ice Shelves Lose Most of Their Mass From Shallow Depths" published in Geophysical Research Letters. Richter_depth.csv Rignot_depth.csv - Data underlying Fig. 2 - zice_bins is ice draft depth in m m.nc temp_surf.nc - Data underlying Fig. 1 - temp is...
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| Language: | unknown |
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University of Tasmania, Australia
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| Online Access: | https://researchdata.edu.au/grlshallowmelting/1461794 https://data.utas.edu.au/metadata/5bbd960b-5db7-4cbc-a969-97b233857176 |
| Summary: | Data underlying the figures in "Antarctic Ice Shelves Lose Most of Their Mass From Shallow Depths" published in Geophysical Research Letters. Richter_depth.csv Rignot_depth.csv - Data underlying Fig. 2 - zice_bins is ice draft depth in m m.nc temp_surf.nc - Data underlying Fig. 1 - temp is potential temperature in degC of the uppermost sigma layer - m is ice shelf melt rate in m/s (negative denotes refreezing) - both are maps of 2007 mean ts_vals2_sec_cavity.npy salt_centres.csv temp_centres.csv - Data underlying Fig. 3 - the numpy file contains an archive of numpy arrays - each array represents the cavity conditions of one sector - these arrays are 2d with salt in x and temp in y direction - the values represent the mean depth of each T/S combination in m - the csv files are 1D arrays containing the axis values; potential temperature in degC; practical salinity depth_melt_evo.npy shallow_temp_evo.npy - Data underlying Fig. 4 - the numpy files contain archives of xarray arrays - each array representing a certain depth range in m - the ocean_time attribute is faulty, stating year 2014 - all values are for 2007 and the arrays start with May - ice shelf melt rate in m/yr; potential temperature in degC |
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