Climate model results of different Miocene and Preindustrial atmospheric CO2 concentrations experiments of AWI-ESM2 in NetCDF format

Herein, we publish the simulated global annual mean surface air temperature (SAT), sea surface temperature (SST), sea surface salinity (SSS), sea ice cover (seaice), surface albedo (albedo) and total cloud cover (aclcov) over a time period of 100 years retrieved from equilibrium climate simulations...

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Main Authors: Hossain, Akil, Knorr, Gregor, Jokat, Wilfried, Lohmann, Gerrit, Hochmuth, Katharina, Gierz, Paul, Gohl, Karsten
Format: Dataset
Language:English
Published: PANGAEA 2022
Subjects:
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.943430
https://doi.org/10.1594/PANGAEA.943430
id ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.943430
record_format openpolar
spelling ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.943430 2024-10-13T14:10:43+00:00 Climate model results of different Miocene and Preindustrial atmospheric CO2 concentrations experiments of AWI-ESM2 in NetCDF format Hossain, Akil Knorr, Gregor Jokat, Wilfried Lohmann, Gerrit Hochmuth, Katharina Gierz, Paul Gohl, Karsten 2022 application/zip, 25.9 MBytes https://doi.pangaea.de/10.1594/PANGAEA.943430 https://doi.org/10.1594/PANGAEA.943430 en eng PANGAEA Hossain, Akil; Knorr, Gregor; Jokat, Wilfried; Lohmann, Gerrit; Hochmuth, Katharina; Gierz, Paul; Gohl, Karsten; Stepanek, Christian (2023): The Impact of Different Atmospheric CO 2 Concentrations on Large Scale Miocene Temperature Signatures. Paleoceanography and Paleoclimatology, 38(2), https://doi.org/10.1029/2022PA004438 https://doi.pangaea.de/10.1594/PANGAEA.943430 https://doi.org/10.1594/PANGAEA.943430 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess atmospheric CO2 concentrations AWI_PaleoClimate AWI-ESM2 climate simulation Miocene Miocene temperature signatures paleobathymetry and paleotopography Paleo-climate Dynamics @ AWI Preindustrial sea ice cover Sea surface salinity Sea surface temperature Surface air temperature surface albedo total cloud cover dataset 2022 ftpangaea https://doi.org/10.1594/PANGAEA.94343010.1029/2022PA004438 2024-10-02T00:42:44Z Herein, we publish the simulated global annual mean surface air temperature (SAT), sea surface temperature (SST), sea surface salinity (SSS), sea ice cover (seaice), surface albedo (albedo) and total cloud cover (aclcov) over a time period of 100 years retrieved from equilibrium climate simulations for the Middle Miocene and Preindustrial. We simulate Miocene and Preindustrial climate states at different atmospheric CO2 concentrations. The model data has been used in the publication by Hossain et al., 2022. The climate data has been produced with AWI Earth System Model (AWI-ESM2.1; ECHAM6/JSBACH/MPIOM2/ OASIS3‐MCT), utilized at a spectral resolution of T63 (~1.88° x 1.88°) in the atmosphere with 47 vertical layers. FESOM2 uses the COREII mesh. The Miocene model setup is based on the combined high-resolution (0.1° x 0.1°) global bathymetry and topography (Middle Miocene; ~14 Ma) of Paxman et al. (2019), Hochmuth et al. (2020) and Straume et al. (2020). The model setup refers to boundary conditions (incl. changes in orography, bathymetry, physical land surface characteristics, ice sheets, atmospheric CO2) representative for the Miocene and Preindustrial. Details on setup and identifiers of Miocene and Preindustrial model simulations can be found in Table 1 of Hossain et al., 2022. Dataset Sea ice PANGAEA - Data Publisher for Earth & Environmental Science Straume ENVELOPE(14.472,14.472,68.689,68.689)
institution Open Polar
collection PANGAEA - Data Publisher for Earth & Environmental Science
op_collection_id ftpangaea
language English
topic atmospheric CO2 concentrations
AWI_PaleoClimate
AWI-ESM2
climate simulation
Miocene
Miocene temperature signatures
paleobathymetry and paleotopography
Paleo-climate Dynamics @ AWI
Preindustrial
sea ice cover
Sea surface salinity
Sea surface temperature
Surface air temperature
surface albedo
total cloud cover
spellingShingle atmospheric CO2 concentrations
AWI_PaleoClimate
AWI-ESM2
climate simulation
Miocene
Miocene temperature signatures
paleobathymetry and paleotopography
Paleo-climate Dynamics @ AWI
Preindustrial
sea ice cover
Sea surface salinity
Sea surface temperature
Surface air temperature
surface albedo
total cloud cover
Hossain, Akil
Knorr, Gregor
Jokat, Wilfried
Lohmann, Gerrit
Hochmuth, Katharina
Gierz, Paul
Gohl, Karsten
Climate model results of different Miocene and Preindustrial atmospheric CO2 concentrations experiments of AWI-ESM2 in NetCDF format
topic_facet atmospheric CO2 concentrations
AWI_PaleoClimate
AWI-ESM2
climate simulation
Miocene
Miocene temperature signatures
paleobathymetry and paleotopography
Paleo-climate Dynamics @ AWI
Preindustrial
sea ice cover
Sea surface salinity
Sea surface temperature
Surface air temperature
surface albedo
total cloud cover
description Herein, we publish the simulated global annual mean surface air temperature (SAT), sea surface temperature (SST), sea surface salinity (SSS), sea ice cover (seaice), surface albedo (albedo) and total cloud cover (aclcov) over a time period of 100 years retrieved from equilibrium climate simulations for the Middle Miocene and Preindustrial. We simulate Miocene and Preindustrial climate states at different atmospheric CO2 concentrations. The model data has been used in the publication by Hossain et al., 2022. The climate data has been produced with AWI Earth System Model (AWI-ESM2.1; ECHAM6/JSBACH/MPIOM2/ OASIS3‐MCT), utilized at a spectral resolution of T63 (~1.88° x 1.88°) in the atmosphere with 47 vertical layers. FESOM2 uses the COREII mesh. The Miocene model setup is based on the combined high-resolution (0.1° x 0.1°) global bathymetry and topography (Middle Miocene; ~14 Ma) of Paxman et al. (2019), Hochmuth et al. (2020) and Straume et al. (2020). The model setup refers to boundary conditions (incl. changes in orography, bathymetry, physical land surface characteristics, ice sheets, atmospheric CO2) representative for the Miocene and Preindustrial. Details on setup and identifiers of Miocene and Preindustrial model simulations can be found in Table 1 of Hossain et al., 2022.
format Dataset
author Hossain, Akil
Knorr, Gregor
Jokat, Wilfried
Lohmann, Gerrit
Hochmuth, Katharina
Gierz, Paul
Gohl, Karsten
author_facet Hossain, Akil
Knorr, Gregor
Jokat, Wilfried
Lohmann, Gerrit
Hochmuth, Katharina
Gierz, Paul
Gohl, Karsten
author_sort Hossain, Akil
title Climate model results of different Miocene and Preindustrial atmospheric CO2 concentrations experiments of AWI-ESM2 in NetCDF format
title_short Climate model results of different Miocene and Preindustrial atmospheric CO2 concentrations experiments of AWI-ESM2 in NetCDF format
title_full Climate model results of different Miocene and Preindustrial atmospheric CO2 concentrations experiments of AWI-ESM2 in NetCDF format
title_fullStr Climate model results of different Miocene and Preindustrial atmospheric CO2 concentrations experiments of AWI-ESM2 in NetCDF format
title_full_unstemmed Climate model results of different Miocene and Preindustrial atmospheric CO2 concentrations experiments of AWI-ESM2 in NetCDF format
title_sort climate model results of different miocene and preindustrial atmospheric co2 concentrations experiments of awi-esm2 in netcdf format
publisher PANGAEA
publishDate 2022
url https://doi.pangaea.de/10.1594/PANGAEA.943430
https://doi.org/10.1594/PANGAEA.943430
long_lat ENVELOPE(14.472,14.472,68.689,68.689)
geographic Straume
geographic_facet Straume
genre Sea ice
genre_facet Sea ice
op_relation Hossain, Akil; Knorr, Gregor; Jokat, Wilfried; Lohmann, Gerrit; Hochmuth, Katharina; Gierz, Paul; Gohl, Karsten; Stepanek, Christian (2023): The Impact of Different Atmospheric CO 2 Concentrations on Large Scale Miocene Temperature Signatures. Paleoceanography and Paleoclimatology, 38(2), https://doi.org/10.1029/2022PA004438
https://doi.pangaea.de/10.1594/PANGAEA.943430
https://doi.org/10.1594/PANGAEA.943430
op_rights CC-BY-4.0: Creative Commons Attribution 4.0 International
Access constraints: unrestricted
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1594/PANGAEA.94343010.1029/2022PA004438
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