ECHAM6-wiso annual mean data for LGM and PI

This dataset contains ECHAM6-wiso annual mean values for 6 LGM and 2 PI simulations, described in https://doi.org/10.5194/cp-19-1275-2023 : LGM_GLOMAP: uses SST and sea-ice from GLOMAP dataset. LGM_tierney2020: uses SST from Tierney et al. (2020) and sea-ice form GLOMAP. LGM_miroc4m_sst_glomap_sic:...

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Main Authors: Cauquoin, Alexandre, Abe-Ouchi, Ayako, Obase, Takashi, Chan, Wing-Le, Paul, André, Werner, Martin
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2023
Subjects:
LGM
Online Access:https://doi.org/10.5281/zenodo.7983371
id ftzenodo:oai:zenodo.org:7983371
record_format openpolar
spelling ftzenodo:oai:zenodo.org:7983371 2024-09-15T17:36:45+00:00 ECHAM6-wiso annual mean data for LGM and PI Cauquoin, Alexandre Abe-Ouchi, Ayako Obase, Takashi Chan, Wing-Le Paul, André Werner, Martin 2023-05-30 https://doi.org/10.5281/zenodo.7983371 unknown Zenodo https://doi.org/10.5194/cp-19-1275-2023 https://doi.org/10.5281/zenodo.7983370 https://doi.org/10.5281/zenodo.7983371 oai:zenodo.org:7983371 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode water isotopes ECHAM6-wiso AGCM LGM info:eu-repo/semantics/other 2023 ftzenodo https://doi.org/10.5281/zenodo.798337110.5194/cp-19-1275-202310.5281/zenodo.7983370 2024-07-26T06:01:34Z This dataset contains ECHAM6-wiso annual mean values for 6 LGM and 2 PI simulations, described in https://doi.org/10.5194/cp-19-1275-2023 : LGM_GLOMAP: uses SST and sea-ice from GLOMAP dataset. LGM_tierney2020: uses SST from Tierney et al. (2020) and sea-ice form GLOMAP. LGM_miroc4m_sst_glomap_sic: uses SST from MIROC 4m andsea-ice form GLOMAP. LGM_miroc4m_sst_and_sic: uses SST and sea ice from MIROC 4m. LGM_miroc4m_strong_AMOC_sst_glomap_sic: uses SST from MIROC 4m for strong AMOC phaseandsea-ice from GLOMAP. LGM_miroc4m_strong_AMOC_sst_and_sic: uses SST and sea ice from MIROC 4m for strong AMOC phase. PI_amip_sst_and_sic: PI simulation with AMIP SST and sea ice. To be used withLGM_GLOMAP,LGM_tierney2020,LGM_miroc4m_sst_glomap_sic and LGM_miroc4m_strong_AMOC_sst_glomap_sic simulations. PI_amip_sst_miroc4m_sic: PI simulation with AMIP SST and MIROC 4m PI sea ice. To be used withLGM_miroc4m_sst_and_sic andLGM_miroc4m_strong_AMOC_sst_and_sic simulations. The data in the LGM simulations are 2m air temperature, precipitation amount, d18O of precipitation, vertically integrated water vapor content and u and v components of total water vapor transport.The data in the PI simulations are 2m air temperature, precipitation amount andd18O of precipitation. The 2 CSV files showvalues in d18O of snow on ice and temperature at polar ice core stations for both observations and ECHAM6-wiso simulations. This research was supported by JSPS KAKENHI Grant 17H06323 and 22K20379, and by the German Federal Ministry of Education and Research (BMBF) as Research for Sustainability initiative (FONA). The ECHAM6-wiso simulations were performed at the Alfred Wegener Institute (AWI) supercomputing center. The MIROC 4m simulations used in this study were performed on the Earth Simulator 3 at Japan Agency for Marine‐Earth Science and Technology (JAMSTEC). Other/Unknown Material Alfred Wegener Institute ice core Sea ice Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic water isotopes
ECHAM6-wiso
AGCM
LGM
spellingShingle water isotopes
ECHAM6-wiso
AGCM
LGM
Cauquoin, Alexandre
Abe-Ouchi, Ayako
Obase, Takashi
Chan, Wing-Le
Paul, André
Werner, Martin
ECHAM6-wiso annual mean data for LGM and PI
topic_facet water isotopes
ECHAM6-wiso
AGCM
LGM
description This dataset contains ECHAM6-wiso annual mean values for 6 LGM and 2 PI simulations, described in https://doi.org/10.5194/cp-19-1275-2023 : LGM_GLOMAP: uses SST and sea-ice from GLOMAP dataset. LGM_tierney2020: uses SST from Tierney et al. (2020) and sea-ice form GLOMAP. LGM_miroc4m_sst_glomap_sic: uses SST from MIROC 4m andsea-ice form GLOMAP. LGM_miroc4m_sst_and_sic: uses SST and sea ice from MIROC 4m. LGM_miroc4m_strong_AMOC_sst_glomap_sic: uses SST from MIROC 4m for strong AMOC phaseandsea-ice from GLOMAP. LGM_miroc4m_strong_AMOC_sst_and_sic: uses SST and sea ice from MIROC 4m for strong AMOC phase. PI_amip_sst_and_sic: PI simulation with AMIP SST and sea ice. To be used withLGM_GLOMAP,LGM_tierney2020,LGM_miroc4m_sst_glomap_sic and LGM_miroc4m_strong_AMOC_sst_glomap_sic simulations. PI_amip_sst_miroc4m_sic: PI simulation with AMIP SST and MIROC 4m PI sea ice. To be used withLGM_miroc4m_sst_and_sic andLGM_miroc4m_strong_AMOC_sst_and_sic simulations. The data in the LGM simulations are 2m air temperature, precipitation amount, d18O of precipitation, vertically integrated water vapor content and u and v components of total water vapor transport.The data in the PI simulations are 2m air temperature, precipitation amount andd18O of precipitation. The 2 CSV files showvalues in d18O of snow on ice and temperature at polar ice core stations for both observations and ECHAM6-wiso simulations. This research was supported by JSPS KAKENHI Grant 17H06323 and 22K20379, and by the German Federal Ministry of Education and Research (BMBF) as Research for Sustainability initiative (FONA). The ECHAM6-wiso simulations were performed at the Alfred Wegener Institute (AWI) supercomputing center. The MIROC 4m simulations used in this study were performed on the Earth Simulator 3 at Japan Agency for Marine‐Earth Science and Technology (JAMSTEC).
format Other/Unknown Material
author Cauquoin, Alexandre
Abe-Ouchi, Ayako
Obase, Takashi
Chan, Wing-Le
Paul, André
Werner, Martin
author_facet Cauquoin, Alexandre
Abe-Ouchi, Ayako
Obase, Takashi
Chan, Wing-Le
Paul, André
Werner, Martin
author_sort Cauquoin, Alexandre
title ECHAM6-wiso annual mean data for LGM and PI
title_short ECHAM6-wiso annual mean data for LGM and PI
title_full ECHAM6-wiso annual mean data for LGM and PI
title_fullStr ECHAM6-wiso annual mean data for LGM and PI
title_full_unstemmed ECHAM6-wiso annual mean data for LGM and PI
title_sort echam6-wiso annual mean data for lgm and pi
publisher Zenodo
publishDate 2023
url https://doi.org/10.5281/zenodo.7983371
genre Alfred Wegener Institute
ice core
Sea ice
genre_facet Alfred Wegener Institute
ice core
Sea ice
op_relation https://doi.org/10.5194/cp-19-1275-2023
https://doi.org/10.5281/zenodo.7983370
https://doi.org/10.5281/zenodo.7983371
oai:zenodo.org:7983371
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.798337110.5194/cp-19-1275-202310.5281/zenodo.7983370
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