Data from a study of heat conduction into the ice in marine ice shelf melt modelling
Jonathan Wiskandt
This dataset provides time averaged data fields from MITgcm simulations of an idealized Greenlandic fjord including a static parametrized ice shelf.
When simulating melting ice sheets in ocean general circulation models, small scale processes have to be parametrized. The level of accuracy of a parametrization depends on the approximations and assumptions made to develop the paramterizations.
We use different approximations of the heat conduction in the parameterization of the melt rate at the base of the ice shelf to compare the effect of the different approximations on the melt rate and the fjord circulation.
MarineModel simulationsIce-ocean modellingIce shelf meltingPolar oceanographyRegional ocean modelling
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Citation
References
Wiskandt J, Jourdain N. Manuscript submitted to The Cryosphere on July 17th, 2024.
Wiskandt J, Jourdain N (2024) Code for a study of heat conduction into the ice in marine ice shelf melt modelling. Software version 1.0.0. Bolin Centre Code Repository. https://doi.org/10.57669/wiskandt-2024-ice-shelf-heat-conduction-1.0.0
Data description
The dataset consists of output data from MITgcm simulation. Data are provided in a zip file, with one directory called MITgcmTimeAve/ containing 27 netCDF (nc) files accompanied by one comma separated values (csv) file with diagnostic data. Total file size: 1.2 GB (compressed 174 MB).
List of file names
_2lay_1SLOPE_AW00_61_100_TimeAve.nc_2lay_1SLOPE_AW00_IceTemp_61_100_TimeAve.nc_2lay_1SLOPE_AW00_noCo_61_100_TimeAve.nc_2lay_1SLOPE_AW02_61_100_TimeAve.nc_2lay_1SLOPE_AW02_IceTemp_61_100_TimeAve.nc_2lay_1SLOPE_AW02_noCo_61_100_TimeAve.nc_2lay_1SLOPE_AW10_61_100_TimeAve.nc_2lay_1SLOPE_AW10_IceTemp_61_100_TimeAve.nc_2lay_1SLOPE_AW10_noCo_61_100_TimeAve.nc_2lay_1SLOPE_AW20_61_100_TimeAve.nc_2lay_1SLOPE_AW20_IceTemp_61_100_TimeAve.nc_2lay_1SLOPE_AW20_noCo_61_100_TimeAve.nc_2lay_1SLOPE_AW30_61_100_TimeAve.nc_2lay_1SLOPE_AW30_IceTemp_61_100_TimeAve.nc_2lay_1SLOPE_AW30_noCo_61_100_TimeAve.nc_2lay_1SLOPE_AW40_61_100_TimeAve.nc_2lay_1SLOPE_AW40_IceTemp_61_100_TimeAve.nc_2lay_1SLOPE_AW40_noCo_61_100_TimeAve.nc_2lay_1SLOPE_AW50_61_100_TimeAve.nc_2lay_1SLOPE_AW50_IceTemp_61_100_TimeAve.nc_2lay_1SLOPE_AW50_noCo_61_100_TimeAve.nc_2lay_1SLOPE_nAW10_61_100_TimeAve.nc_2lay_1SLOPE_nAW10_IceTemp_61_100_TimeAve.nc_2lay_1SLOPE_nAW10_noCo_61_100_TimeAve.nc_2lay_1SLOPE_nAW20_61_100_TimeAve.nc_2lay_1SLOPE_nAW20_IceTemp_61_100_TimeAve.nc_2lay_1SLOPE_nAW20_noCo_61_100_TimeAve.ncIT_mdata.csv
Data files
The meaning of the parts of the nc file names are as follows:
61_100time averaged fields of model days 61-100 from MITgcm simulations of a two dimensional Greenlandic fjord.2laytwo layer stratification.1SLOPEice base geometry: a single linear slope, i.e. connecting the grounding line and the ice front with a straight line.AW00,AW02,AW10,AW20,AW30,AW40,AW50temperature of the Atlantic Water (AW) in the lower layer, where the digits represent the temperature value in degree Celsius such that10refers to 1.0 degrees Celsius.nAW10,nAW20same as above, butnstands for negative temperatures.noCorefers to experiments with no heat conduction into the ice in the melt rate parametrization.IceTemprefers to a melt dependendent heat conduction into the ice in the melt parametrization.- in case of neither
noConorIceTempa linear temperature gradient is used to calculate heat conduction into the ice.
Diagnostics file
IT_mdata.csv contains integrated diagnostics. The diagnostics are derived from the averaged fields in MITgcmTimeAve/.
The diagnostics are:
expexperiment (nomenclature as above).T_AWAtlantic water temperature in degree Celsius.AveMeltaveraged melt rate in m/year.
Comments
Jonathan Wiskandt designed and ran the MITgcm Simulations. Python code and MITgcm setup files are provided in the Code for a study of heat conduction into the ice in marine ice shelf melt modelling by Wiskandt & Jourdain (2024).
Project
The work was performed within a pair PhD project funded by the Faculty of Science, Stockholm University, and granted to the Department of Mathematics, division of Computational Mathematics, and the Department of Meteorology (SUFV-1.2.1-0124-17). The MITgcm simulations were enabled by resources provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS) at the National Supercomputer Centre (NSC), partially funded by the Swedish Research Council through grant agreements no. 2022-06725.
Publisher
Bolin Centre Database
License
First name
Jonathan
Last name or organisation
Wiskandt
Email address
Address
Stockholm University; Department of Meteorology
Postal code
SE-106 91
City
Stockholm
Country
Sweden
GCMD science keyword
Earth science > Cryosphere > Glaciers/ice sheets
GCMD location
Ocean
Dataset language
English