CNRM-ARPEGE v6.2.4 contribution to Antarctic Cordex
This data set is a contribution to Antarctic Polar Cordex using the stretched grid capacity of CNRM-ARPEGE atmospheric GCM. Model outputs have been interpolated from the native ARPEGE grid, with horizontal resolution varying between 35kms (near the stretching pole) to 45 kms on the Antarctic contine...
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ftzenodo:oai:zenodo.org:4059193 2024-09-15T17:43:36+00:00 CNRM-ARPEGE v6.2.4 contribution to Antarctic Cordex Julien Beaumet Gerhard Krinner Michel Déqué Antoinette Alias 2020-09-30 https://doi.org/10.5281/zenodo.4059193 eng eng Zenodo https://doi.org/10.5194/tc-13-3023-2019 https://doi.org/10.1111/j.1600-0870.2005.00120.x https://doi.org/10.1029/2018MS001438 https://doi.org/10.5281/zenodo.4059192 https://doi.org/10.5281/zenodo.4059193 oai:zenodo.org:4059193 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Antarctic Cordex ARPEGE Climate projection Surface mass balance Bias correction info:eu-repo/semantics/other 2020 ftzenodo https://doi.org/10.5281/zenodo.405919310.5194/tc-13-3023-201910.1111/j.1600-0870.2005.00120.x10.1029/2018MS00143810.5281/zenodo.4059192 2024-07-26T06:04:11Z This data set is a contribution to Antarctic Polar Cordex using the stretched grid capacity of CNRM-ARPEGE atmospheric GCM. Model outputs have been interpolated from the native ARPEGE grid, with horizontal resolution varying between 35kms (near the stretching pole) to 45 kms on the Antarctic continent, to the ANTi-44 domain (actual lon/lat). The data and metadata format respect almost all of Cordex/CMIP conventions (variables names, units, file names.). The data set consists in six simulations of 30 years time slots : 1981-2010 for "historical" simulations and 2071-2100 for future projections using radiative forcing from RCP8.5 scenario : - ARP-AMIP : amip-style control run driven by observed SST and sea-ice (1981-2100) - ARP-NOR-OC : Future projection driven by NorESM1-M RCP8.5 climate change signal on SST and sea-ice (2071-2100) - ARP-MIR-OC : Future projection driven by MIROC-ESM RCP8.5 climate change signal on SST and sea-ice (2071-2100) More details on these three simulations are given in Beaumet et al., 2019 ( 10.5194/tc-13-3023-2019) - ARP-AMIP-AC : Driven by observed SST and sea-ice + run-time flux bias correction* - ARP-NOR-AOC : Driven by same SST and sea-ice as NOR-OC + run-time flux bias correction* - ARP-MIR-AOC : Driven by same SST and sea-ice as MIR-OC + run-time flux bias correction* Empirical run-time bias correction uses correction terms derived from the climatological mean of tendency errors of a simulation nudged towards climate reanalysis (here ERA-Interim). The method is presented first in Guldberg et al., 2005 (10.1111/j.1600-0870.2005.00120.x) and Krinner et al., 2019 (10.1029/2018MS001438). The method applied with ARPEGE over Antarctica and the evalution of the simulation are presented in this paper : https://doi.org/10.5194/tc-2020-307 (In review) Outputs are available at daily time scale for near-surface atmospherique mean (tas), min (tasmin) and max (tasmax) temperature, total precipitation (pr), snowfall (prsn), snowmelt(snm), surface snow sublimation (sbl_i) and surface runoff ... Other/Unknown Material Antarc* Antarctic Antarctica Sea ice Zenodo |
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Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
English |
topic |
Antarctic Cordex ARPEGE Climate projection Surface mass balance Bias correction |
spellingShingle |
Antarctic Cordex ARPEGE Climate projection Surface mass balance Bias correction Julien Beaumet Gerhard Krinner Michel Déqué Antoinette Alias CNRM-ARPEGE v6.2.4 contribution to Antarctic Cordex |
topic_facet |
Antarctic Cordex ARPEGE Climate projection Surface mass balance Bias correction |
description |
This data set is a contribution to Antarctic Polar Cordex using the stretched grid capacity of CNRM-ARPEGE atmospheric GCM. Model outputs have been interpolated from the native ARPEGE grid, with horizontal resolution varying between 35kms (near the stretching pole) to 45 kms on the Antarctic continent, to the ANTi-44 domain (actual lon/lat). The data and metadata format respect almost all of Cordex/CMIP conventions (variables names, units, file names.). The data set consists in six simulations of 30 years time slots : 1981-2010 for "historical" simulations and 2071-2100 for future projections using radiative forcing from RCP8.5 scenario : - ARP-AMIP : amip-style control run driven by observed SST and sea-ice (1981-2100) - ARP-NOR-OC : Future projection driven by NorESM1-M RCP8.5 climate change signal on SST and sea-ice (2071-2100) - ARP-MIR-OC : Future projection driven by MIROC-ESM RCP8.5 climate change signal on SST and sea-ice (2071-2100) More details on these three simulations are given in Beaumet et al., 2019 ( 10.5194/tc-13-3023-2019) - ARP-AMIP-AC : Driven by observed SST and sea-ice + run-time flux bias correction* - ARP-NOR-AOC : Driven by same SST and sea-ice as NOR-OC + run-time flux bias correction* - ARP-MIR-AOC : Driven by same SST and sea-ice as MIR-OC + run-time flux bias correction* Empirical run-time bias correction uses correction terms derived from the climatological mean of tendency errors of a simulation nudged towards climate reanalysis (here ERA-Interim). The method is presented first in Guldberg et al., 2005 (10.1111/j.1600-0870.2005.00120.x) and Krinner et al., 2019 (10.1029/2018MS001438). The method applied with ARPEGE over Antarctica and the evalution of the simulation are presented in this paper : https://doi.org/10.5194/tc-2020-307 (In review) Outputs are available at daily time scale for near-surface atmospherique mean (tas), min (tasmin) and max (tasmax) temperature, total precipitation (pr), snowfall (prsn), snowmelt(snm), surface snow sublimation (sbl_i) and surface runoff ... |
format |
Other/Unknown Material |
author |
Julien Beaumet Gerhard Krinner Michel Déqué Antoinette Alias |
author_facet |
Julien Beaumet Gerhard Krinner Michel Déqué Antoinette Alias |
author_sort |
Julien Beaumet |
title |
CNRM-ARPEGE v6.2.4 contribution to Antarctic Cordex |
title_short |
CNRM-ARPEGE v6.2.4 contribution to Antarctic Cordex |
title_full |
CNRM-ARPEGE v6.2.4 contribution to Antarctic Cordex |
title_fullStr |
CNRM-ARPEGE v6.2.4 contribution to Antarctic Cordex |
title_full_unstemmed |
CNRM-ARPEGE v6.2.4 contribution to Antarctic Cordex |
title_sort |
cnrm-arpege v6.2.4 contribution to antarctic cordex |
publisher |
Zenodo |
publishDate |
2020 |
url |
https://doi.org/10.5281/zenodo.4059193 |
genre |
Antarc* Antarctic Antarctica Sea ice |
genre_facet |
Antarc* Antarctic Antarctica Sea ice |
op_relation |
https://doi.org/10.5194/tc-13-3023-2019 https://doi.org/10.1111/j.1600-0870.2005.00120.x https://doi.org/10.1029/2018MS001438 https://doi.org/10.5281/zenodo.4059192 https://doi.org/10.5281/zenodo.4059193 oai:zenodo.org:4059193 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.405919310.5194/tc-13-3023-201910.1111/j.1600-0870.2005.00120.x10.1029/2018MS00143810.5281/zenodo.4059192 |
_version_ |
1810490618341752832 |