Alpine ice sheet glacial cycle simulations aggregated variables

These data contain time-integrated and otherwise time-reduced 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, 2...

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Main Author: Seguinot, Julien
Format: Dataset
Language:English
Published: Zenodo 2019
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.1423159
https://zenodo.org/record/1423159
id ftdatacite:10.5281/zenodo.1423159
record_format openpolar
spelling ftdatacite:10.5281/zenodo.1423159 2023-05-15T16:06:17+02:00 Alpine ice sheet glacial cycle simulations aggregated variables Seguinot, Julien 2019 https://dx.doi.org/10.5281/zenodo.1423159 https://zenodo.org/record/1423159 en eng Zenodo https://dx.doi.org/10.5194/tc-12-3265-2018 https://dx.doi.org/10.5281/zenodo.1423176 https://dx.doi.org/10.5281/zenodo.1423160 https://dx.doi.org/10.5281/zenodo.3604174 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY alps glacier ice sheet modelling dataset Dataset 2019 ftdatacite https://doi.org/10.5281/zenodo.1423159 https://doi.org/10.5194/tc-12-3265-2018 https://doi.org/10.5281/zenodo.1423176 https://doi.org/10.5281/zenodo.1423160 https://doi.org/10.5281/zenodo.3604174 2021-11-05T12:55:41Z These data contain time-integrated and otherwise time-reduced 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}.agg.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 Data format: The data use compressed netCDF format. For quick inspection I recommend ncview. Conversion to GeoTIFF (and other GIS formats) can be achieved with e.g. GDAL:: gdal_translate NETCDF:filename.nc:variable filename.variable.tif The list of variables (subdatasets) can be obtained from ncdump or gdalinfo. To convert all variables to separate files use: gdalinfo $filename | grep NETCDF | cut -d '=' -f 2 | egrep -v '(lat|lon|time_bounds)' | while read sub do gdal_translate $sub ${filename%.nc}.${sub##*:}.tif done Variable long names, units, PISM configuration parametres and additional information are contained within the netCDF metadata. Also see continuous variables. Changelog: Version 2: Add age coordinate in kiloyears (ka) before present. Use ka units for covertime, deglacage and maxthkage. Version 1: Initial version : This work was supported by the Swiss National Science Foundation (SNSF) grants 200020-169558 and 200021-153179/1, and the Swiss National Supercomputing Centre (CSCS) grants s573 and sm13. Dataset EPICA ice core Ice Sheet DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic alps
glacier
ice sheet
modelling
spellingShingle alps
glacier
ice sheet
modelling
Seguinot, Julien
Alpine ice sheet glacial cycle simulations aggregated variables
topic_facet alps
glacier
ice sheet
modelling
description These data contain time-integrated and otherwise time-reduced 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}.agg.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 Data format: The data use compressed netCDF format. For quick inspection I recommend ncview. Conversion to GeoTIFF (and other GIS formats) can be achieved with e.g. GDAL:: gdal_translate NETCDF:filename.nc:variable filename.variable.tif The list of variables (subdatasets) can be obtained from ncdump or gdalinfo. To convert all variables to separate files use: gdalinfo $filename | grep NETCDF | cut -d '=' -f 2 | egrep -v '(lat|lon|time_bounds)' | while read sub do gdal_translate $sub ${filename%.nc}.${sub##*:}.tif done Variable long names, units, PISM configuration parametres and additional information are contained within the netCDF metadata. Also see continuous variables. Changelog: Version 2: Add age coordinate in kiloyears (ka) before present. Use ka units for covertime, deglacage and maxthkage. Version 1: Initial version : This work was supported by the Swiss National Science Foundation (SNSF) grants 200020-169558 and 200021-153179/1, and the Swiss National Supercomputing Centre (CSCS) grants s573 and sm13.
format Dataset
author Seguinot, Julien
author_facet Seguinot, Julien
author_sort Seguinot, Julien
title Alpine ice sheet glacial cycle simulations aggregated variables
title_short Alpine ice sheet glacial cycle simulations aggregated variables
title_full Alpine ice sheet glacial cycle simulations aggregated variables
title_fullStr Alpine ice sheet glacial cycle simulations aggregated variables
title_full_unstemmed Alpine ice sheet glacial cycle simulations aggregated variables
title_sort alpine ice sheet glacial cycle simulations aggregated variables
publisher Zenodo
publishDate 2019
url https://dx.doi.org/10.5281/zenodo.1423159
https://zenodo.org/record/1423159
genre EPICA
ice core
Ice Sheet
genre_facet EPICA
ice core
Ice Sheet
op_relation https://dx.doi.org/10.5194/tc-12-3265-2018
https://dx.doi.org/10.5281/zenodo.1423176
https://dx.doi.org/10.5281/zenodo.1423160
https://dx.doi.org/10.5281/zenodo.3604174
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.1423159
https://doi.org/10.5194/tc-12-3265-2018
https://doi.org/10.5281/zenodo.1423176
https://doi.org/10.5281/zenodo.1423160
https://doi.org/10.5281/zenodo.3604174
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