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Alpine ice sheet glacial cycle simulations continuous variables

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NIAID Data Ecosystem2026-05-01 收录
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https://zenodo.org/record/1423175
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These data contain a subset of time-dependent glacier model output variables. Reference: Seguinot, J., Ivy-Ochs, S., Jouvet, G., Huss, M., Funk, M., and Preusser, F.: Modelling last glacial cycle ice dynamics in the Alps, The Cryosphere, 12, 3265-3285, doi:10.5194/tc-12-3265-2018, 2018. File names: alpcyc.{1km|2km}.{epic|grip|md01}.{cp|pp}.{ex.100a|ex.1ka|ts.10a}.nc Horizontal resolution: 1km: 1 km horizontal resolution 2km: 2 km horizontal resolution Temperature forcing: epic: EPICA ice core temperature forcing grip: GRIP ice core temperature forcing md01: MD01-2444 core temperature forcing Precipitation forcing: cp: constant precipitation pp: palaeo-precipitation reduction Variable types: ex.100a: spatial diagnostics every hundred years ex.1ka: spatial diagnostics every thousand years ts.10a: scalar time-series every ten years Data format: The data use compressed netCDF format. For quick inspection I recommend ncview. Spatial diagnostics (*.ex.*.nc) can be converted to GeoTIFF (and other GIS formats) e.g. using GDAL: gdal_translate NETCDF:filename.nc:variable -b band filename.variable.band.tif The list of variables (subdatasets) can be obtained from ncdump or gdalinfo. The band number equals 120 minus the age in ka. Band information can be displayed with: gdalinfo NETCDF:filename.nc:variable Variable long names, units, PISM configuration parametres and additional information are contained within the netCDF metadata. Also see aggregated variables. Changelog: Version 3: Add spatial diagnostics every hundred years (*.ex.100a.nc) Version 2: Add age coordinate in kiloyears (ka) before present. Replace NCO by Xarray workflow (no effect on the results). Version 1: Initial version.
创建时间:
2023-04-06
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