Alpine ice sheet glacial cycle simulations continuous variables
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These data contain a subset of time-dependent glacier model output variables. <strong>Reference:</strong> Seguinot, J., Ivy-Ochs, S., Jouvet, G., Huss, M., Funk, M., and Preusser, F.: Modelling last glacial cycle ice dynamics in the Alps, <em>The Cryosphere</em>, 12, 3265-3285, doi:10.5194/tc-12-3265-2018, 2018. <strong>File names:</strong> <pre><code>alpcyc.{1km|2km}.{epic|grip|md01}.{cp|pp}.{ex.100a|ex.1ka|ts.10a}.nc</code></pre> Horizontal resolution: <em>1km</em>: 1 km horizontal resolution <em>2km</em>: 2 km horizontal resolution Temperature forcing: <em>epic</em>: EPICA ice core temperature forcing <em>grip</em>: GRIP ice core temperature forcing <em>md01</em>: MD01-2444 core temperature forcing Precipitation forcing: <em>cp</em>: constant precipitation <em>pp</em>: palaeo-precipitation reduction Variable types: <em>ex.100a:</em> spatial diagnostics every hundred years <em>ex.1ka:</em> spatial diagnostics every thousand years <em>ts.10a:</em> scalar time-series every ten years Data format: The data use compressed netCDF format. For quick inspection I recommend ncview. Spatial diagnostics (<em>*.ex.*.nc</em>) can be converted to GeoTIFF (and other GIS formats) e.g. using GDAL: <pre><code>gdal_translate NETCDF:filename.nc:variable -b band filename.variable.band.tif</code></pre> The list of variables (subdatasets) can be obtained from ncdump or gdalinfo. The <em>band</em> number equals 120 minus the age in ka. Band information can be displayed with: <pre><code>gdalinfo NETCDF:filename.nc:variable</code></pre> Variable long names, units, PISM configuration parametres and additional information are contained within the netCDF metadata. Also see aggregated variables. <strong>Changelog:</strong> Version 3: Add spatial diagnostics every hundred years (<em>*.ex.100a.nc</em>) Version 2: Add age coordinate in kiloyears (ka) before present. Replace NCO by Xarray workflow (no effect on the results). Version 1: Initial version.
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Zenodo
创建时间:
2018-09-21



