Data

GRL_shallow_melting

University of Tasmania, Australia
Ole Richter
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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=https://data.utas.edu.au/metadata/5bbd960b-5db7-4cbc-a969-97b233857176&rft.title=GRL_shallow_melting&rft.identifier=https://data.utas.edu.au/metadata/5bbd960b-5db7-4cbc-a969-97b233857176&rft.publisher=University of Tasmania, Australia&rft.description=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&rft.creator=Ole Richter &rft.date=2020&rft_rights=Attribution - NonCommercial - Share Alike(BY - NC - SA) http://creativecommons.org/licenses/by-nc-sa/4.0/&rft_subject=Physical oceanography&rft_subject=Oceanography&rft_subject=EARTH SCIENCES&rft_subject=Climate change models&rft_subject=Understanding climate change&rft_subject=ENVIRONMENTAL POLICY, CLIMATE CHANGE AND NATURAL HAZARDS&rft_subject=ice shelf basal melting&rft.type=dataset&rft.language=English Access the data

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Attribution - NonCommercial - Share Alike(BY - NC - SA)
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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

Data time period: 2007 to 2007

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