Climate model (Consortium for Small-scale Modeling, COSMOS) results of different Laurentide Ice Sheet reconstructions during the Last Glacial Maximum in NetCDF format ...
Herein, we publish the simulated global annual mean sea surface temperature (THO), surface air temperature (SAT) over a time period of 100 years retrieved from equilibrium climate simulations for the Last Glacial Maximum (~21 ka BP). We investigate the range of temperature variability that occurs in...
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Online Access: | https://dx.doi.org/10.1594/pangaea.931163 https://doi.pangaea.de/10.1594/PANGAEA.931163 |
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ftdatacite:10.1594/pangaea.931163 2024-06-09T07:46:46+00:00 Climate model (Consortium for Small-scale Modeling, COSMOS) results of different Laurentide Ice Sheet reconstructions during the Last Glacial Maximum in NetCDF format ... Hossain, Akil Zhang, Xu Lohmann, Gerrit 2021 application/zip https://dx.doi.org/10.1594/pangaea.931163 https://doi.pangaea.de/10.1594/PANGAEA.931163 en eng PANGAEA Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Last Glacial Maximum Laurentide ice sheet reconstructions Paleoclimate Modelling Intercomparison Project Phase III PMIP3 Sea surface temperature Surface air temperature Paleo-climate Dynamics @ AWI AWI_PaleoClimate Dataset dataset 2021 ftdatacite https://doi.org/10.1594/pangaea.931163 2024-05-13T12:44:57Z Herein, we publish the simulated global annual mean sea surface temperature (THO), surface air temperature (SAT) over a time period of 100 years retrieved from equilibrium climate simulations for the Last Glacial Maximum (~21 ka BP). We investigate the range of temperature variability that occurs in response to uncertainties in the boundary conditions of Laurentide ice sheet (LIS). We performed LGM simulations, applying six different LIS reconstructions (ICE-6g, GLAC-1a, ANU, Gowan, Licciardi and PMIP3) in a fully coupled atmosphere-ocean-sea-ice model. The model data has been used in the publication by Hossain et al., 2021. The climate data has been produced with Consortium for Small-scale Modeling (COSMOS; ECHAM5/JSBACH/MPIOM/OASIS3), utilized at a resolution of T31 in the atmosphere with 19 vertical layers and a resolution of GR30 (~3.0°x1.8°) in the ocean with 40 vertical layers. The model setup refers to boundary conditions (terrestrial topography, ocean bathymetry), greenhouse gas concentrations (CO2 = ... Dataset Ice Sheet Sea ice 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 |
Last Glacial Maximum Laurentide ice sheet reconstructions Paleoclimate Modelling Intercomparison Project Phase III PMIP3 Sea surface temperature Surface air temperature Paleo-climate Dynamics @ AWI AWI_PaleoClimate |
spellingShingle |
Last Glacial Maximum Laurentide ice sheet reconstructions Paleoclimate Modelling Intercomparison Project Phase III PMIP3 Sea surface temperature Surface air temperature Paleo-climate Dynamics @ AWI AWI_PaleoClimate Hossain, Akil Zhang, Xu Lohmann, Gerrit Climate model (Consortium for Small-scale Modeling, COSMOS) results of different Laurentide Ice Sheet reconstructions during the Last Glacial Maximum in NetCDF format ... |
topic_facet |
Last Glacial Maximum Laurentide ice sheet reconstructions Paleoclimate Modelling Intercomparison Project Phase III PMIP3 Sea surface temperature Surface air temperature Paleo-climate Dynamics @ AWI AWI_PaleoClimate |
description |
Herein, we publish the simulated global annual mean sea surface temperature (THO), surface air temperature (SAT) over a time period of 100 years retrieved from equilibrium climate simulations for the Last Glacial Maximum (~21 ka BP). We investigate the range of temperature variability that occurs in response to uncertainties in the boundary conditions of Laurentide ice sheet (LIS). We performed LGM simulations, applying six different LIS reconstructions (ICE-6g, GLAC-1a, ANU, Gowan, Licciardi and PMIP3) in a fully coupled atmosphere-ocean-sea-ice model. The model data has been used in the publication by Hossain et al., 2021. The climate data has been produced with Consortium for Small-scale Modeling (COSMOS; ECHAM5/JSBACH/MPIOM/OASIS3), utilized at a resolution of T31 in the atmosphere with 19 vertical layers and a resolution of GR30 (~3.0°x1.8°) in the ocean with 40 vertical layers. The model setup refers to boundary conditions (terrestrial topography, ocean bathymetry), greenhouse gas concentrations (CO2 = ... |
format |
Dataset |
author |
Hossain, Akil Zhang, Xu Lohmann, Gerrit |
author_facet |
Hossain, Akil Zhang, Xu Lohmann, Gerrit |
author_sort |
Hossain, Akil |
title |
Climate model (Consortium for Small-scale Modeling, COSMOS) results of different Laurentide Ice Sheet reconstructions during the Last Glacial Maximum in NetCDF format ... |
title_short |
Climate model (Consortium for Small-scale Modeling, COSMOS) results of different Laurentide Ice Sheet reconstructions during the Last Glacial Maximum in NetCDF format ... |
title_full |
Climate model (Consortium for Small-scale Modeling, COSMOS) results of different Laurentide Ice Sheet reconstructions during the Last Glacial Maximum in NetCDF format ... |
title_fullStr |
Climate model (Consortium for Small-scale Modeling, COSMOS) results of different Laurentide Ice Sheet reconstructions during the Last Glacial Maximum in NetCDF format ... |
title_full_unstemmed |
Climate model (Consortium for Small-scale Modeling, COSMOS) results of different Laurentide Ice Sheet reconstructions during the Last Glacial Maximum in NetCDF format ... |
title_sort |
climate model (consortium for small-scale modeling, cosmos) results of different laurentide ice sheet reconstructions during the last glacial maximum in netcdf format ... |
publisher |
PANGAEA |
publishDate |
2021 |
url |
https://dx.doi.org/10.1594/pangaea.931163 https://doi.pangaea.de/10.1594/PANGAEA.931163 |
genre |
Ice Sheet Sea ice |
genre_facet |
Ice Sheet Sea ice |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.931163 |
_version_ |
1801376763593359360 |