Published April 5, 2023
| Version v3
Dataset
Open
Alpine ice sheet glacial cycle simulations continuous variables
Contributors
- 1. ETH Zurich
- 2. University of Freiburg
Description
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.
Notes
Files
Files
(10.5 GB)
Name | Size | Download all |
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md5:892f00d59ea5f4685ac8acd63f6bd0d6
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4.0 GB | Download |
md5:d3ec428c8a145e21be223ae337246102
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433.5 MB | Download |
md5:2022908a6a13c4b84fae9ff8303a148b
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3.2 MB | Download |
md5:5f7d44eab27f372845197559683282b7
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1.0 GB | Download |
md5:8572f9ade686a434ef06e5d5e671e2fa
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113.2 MB | Download |
md5:6c57cb500d307379ad2703576040ba12
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2.9 MB | Download |
md5:1a108e8bcbbec4d149c9c2591a7077ab
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1.0 GB | Download |
md5:0b59b7c26bb8d1b1797c9414638a2f32
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115.0 MB | Download |
md5:07c0ce002735a0446fce472077cca0d3
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2.8 MB | Download |
md5:6d1605de494a37808f0da9d9d1d3128a
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898.3 MB | Download |
md5:1d98ce17812a423f5a3f40fa3a8d7cae
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102.5 MB | Download |
md5:42accdd244563918dfd98de96f647e96
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2.9 MB | Download |
md5:218cebb0a3e135e4ab845f6d8517a1b9
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873.1 MB | Download |
md5:e0a7c97206872011ef048d25da9e077c
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101.9 MB | Download |
md5:55250e9d57f0c984e3f450839c3bf9cc
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2.9 MB | Download |
md5:d7d2090a53468a76c901775d293ea920
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799.1 MB | Download |
md5:ea2f56c4821140e467a54734d688c3c9
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93.3 MB | Download |
md5:1f4a8efc1123955c6f2469cf47433c2e
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2.9 MB | Download |
md5:98269d4eedc2893339b6f23142401a1e
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847.1 MB | Download |
md5:c0938071bbaa0cbd6c67b024846c1935
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96.9 MB | Download |
md5:d117d6bd49382a84370f3688c63cf1a5
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2.8 MB | Download |
Additional details
Related works
- Is supplement to
- 10.5194/tc-12-3265-2018 (DOI)
- References
- 10.5281/zenodo.1423160 (DOI)