Simulated ocean velocity at 420 m water depth for pre-industrial, glacial, Pliocene, and Miocene climate states

We provide global fields of simulated ocean velocity in zonal (netCDF variable UKO) and meridional (netCDF variable VKE) direction at a depth of 420 m. Six climate states are covered in the data set:1. data set PI_mpiom_UKO_VKE_timmean_420m.nc: pre-industrial (PI) control state (representative for 1...

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Main Authors: Stepanek, Christian, Lohmann, Gerrit, Stärz, Michael, Zhang, Xu
Format: Dataset
Language:English
Published: PANGAEA - Data Publisher for Earth & Environmental Science 2018
Subjects:
Online Access:https://dx.doi.org/10.1594/pangaea.889138
https://doi.pangaea.de/10.1594/PANGAEA.889138
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Paleo-climate Dynamics @ AWI AWI_PaleoClimate
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Paleo-climate Dynamics @ AWI AWI_PaleoClimate
Stepanek, Christian
Lohmann, Gerrit
Stärz, Michael
Zhang, Xu
Simulated ocean velocity at 420 m water depth for pre-industrial, glacial, Pliocene, and Miocene climate states
topic_facet File name
File format
File size
Uniform resource locator/link to file
Paleo-climate Dynamics @ AWI AWI_PaleoClimate
description We provide global fields of simulated ocean velocity in zonal (netCDF variable UKO) and meridional (netCDF variable VKE) direction at a depth of 420 m. Six climate states are covered in the data set:1. data set PI_mpiom_UKO_VKE_timmean_420m.nc: pre-industrial (PI) control state (representative for 1850 AD) as used in the publications by Stepanek and Lohmann (2012) and Zhang et al. (2013). The respective data is courtesy of Zhang et al. (2013)2. data set LGM_mpiom_UKO_VKE_timmean_420m.nc: a climate state of the Last Glacial Maximum (simulation LGM-W by Zhang et al., 2013), representative for 21 kiloyears (ka) before present (BP)3. data set Plio_mpiom_UKO_VKE_timmean_420m.nc: a climate state of the Mid-Pliocene Warm Period (simulation experiment 2 by Stepanek and Lohmann, 2012), that covers the time from 3.29 - 2.97 million years (Ma) BP4. data set MIO_mpiom_UKO_VKE_timmean_420m.nc: a climate state representing conditions of the early to middle Miocene (23 to 15 Ma BP) including a regional bathymetry reconstruction (15 Ma) of the North Atlantic / Arctic Ocean by Ehlers and Jokat (2013) and considering 450 ppm of carbon dioxide (simulation EO450 by Stärz et al., 2017)5. data set MioW_mpiom_UKO_VKE_timmean_420m.nc: a climate state representing conditions of the early to middle Miocene (23 to 15 Ma BP) including a regional bathymetry reconstruction (15 Ma) of the Weddell Sea (Huang et al., 2014) and considering 450 ppm of carbon dioxide in the atmosphere (simulation MIOW_450 by Huang et al., 2017)6. data set MioW_PIS_mpiom_UKO_VKE_timmean_420m.nc: a climate state similar to 5. but with PI (278 ppm) carbon dioxide concentration and prescribed modern ice sheets (simulation MIOW_PIS by Huang et al., 2017)All data sets represent climatological annual averages over a time period of 100 years. The oceanography is based on climate simulations performed with the Community Earth System Models (COSMOS) that consist of the atmosphere general circulation model ECHAM5 (Roeckner et al., 2003), internally coupled to the land surface and terrestrial carbon cycle model JSBACH (Raddatz et al., 2007) in T31 resolution (3.75°x3.75°) with 19 vertical levels on a hybrid sigma-pressure coordinate, and the ocean general circulation model MPIOM (Marsland et al., 2003) on a bipolar curvilinear GR30 grid with a formal resolution of 3.0°x1.8° and 40 z-coordinate levels. Exchange of momentum, mass, and energy between the atmosphere and ocean domain is enabled via the OASIS3 coupler (Valcke et al., 2003).For all simulations, ocean characteristics (including sea ice) and properties of atmosphere and land (including the land carbon cycle and dynamic vegetation) are computed based on the prescribed climate forcing (concentration of atmospheric trace gases, configuration of the Earth's orbit) and boundary conditions (land surface elevation, ice sheets, ocean bathymetry, and land sea mask). For details of the utilized boundary conditions and climate forcing refer to the original publications describing the data (Stepanek and Lohmann, 2012; Zhang et al., 2013; Huang et al., 2017; Stärz et al., 2017).In case of analyzing velocities of the Arctic Ocean, note that for few grid cells in the northernmost data row (89.5°N), between 280°E and 293°E, there is a data artifact in variable VKE. This artifact is a side effect of rotating and interpolatiing velocities from the curvilinear model grid to a standard NSWE coordinate system; this artifact has not been removed from the data sets.
format Dataset
author Stepanek, Christian
Lohmann, Gerrit
Stärz, Michael
Zhang, Xu
author_facet Stepanek, Christian
Lohmann, Gerrit
Stärz, Michael
Zhang, Xu
author_sort Stepanek, Christian
title Simulated ocean velocity at 420 m water depth for pre-industrial, glacial, Pliocene, and Miocene climate states
title_short Simulated ocean velocity at 420 m water depth for pre-industrial, glacial, Pliocene, and Miocene climate states
title_full Simulated ocean velocity at 420 m water depth for pre-industrial, glacial, Pliocene, and Miocene climate states
title_fullStr Simulated ocean velocity at 420 m water depth for pre-industrial, glacial, Pliocene, and Miocene climate states
title_full_unstemmed Simulated ocean velocity at 420 m water depth for pre-industrial, glacial, Pliocene, and Miocene climate states
title_sort simulated ocean velocity at 420 m water depth for pre-industrial, glacial, pliocene, and miocene climate states
publisher PANGAEA - Data Publisher for Earth & Environmental Science
publishDate 2018
url https://dx.doi.org/10.1594/pangaea.889138
https://doi.pangaea.de/10.1594/PANGAEA.889138
geographic Arctic
Arctic Ocean
Weddell Sea
Weddell
geographic_facet Arctic
Arctic Ocean
Weddell Sea
Weddell
genre Arctic
Arctic Ocean
Atlantic Arctic
Atlantic-Arctic
North Atlantic
Sea ice
Weddell Sea
genre_facet Arctic
Arctic Ocean
Atlantic Arctic
Atlantic-Arctic
North Atlantic
Sea ice
Weddell Sea
op_relation http://www.mpimet.mpg.de/fileadmin/models/echam/mpi_report_349.pdf
https://dx.doi.org/10.1038/s41467-018-04583-0
https://dx.doi.org/10.1007/s11001-013-9165-9
https://dx.doi.org/10.1016/j.gloplacha.2014.03.010
https://dx.doi.org/10.1002/2016pa002987
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https://dx.doi.org/10.1007/s00382-007-0247-8
http://www.mpimet.mpg.de/fileadmin/models/echam/mpi_report_349.pdf
https://dx.doi.org/10.1038/ncomms15681
https://dx.doi.org/10.5194/gmd-5-1221-2012
https://dx.doi.org/10.5194/cp-9-2319-2013
op_rights Creative Commons Attribution 3.0 Unported
https://creativecommons.org/licenses/by/3.0/legalcode
cc-by-3.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.1594/pangaea.889138
https://doi.org/10.1038/s41467-018-04583-0
https://doi.org/10.1007/s11001-013-9165-9
https://doi.org/10.1016/j.gloplacha.2014.03.010
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spelling ftdatacite:10.1594/pangaea.889138 2023-05-15T15:10:20+02:00 Simulated ocean velocity at 420 m water depth for pre-industrial, glacial, Pliocene, and Miocene climate states Stepanek, Christian Lohmann, Gerrit Stärz, Michael Zhang, Xu 2018 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.889138 https://doi.pangaea.de/10.1594/PANGAEA.889138 en eng PANGAEA - Data Publisher for Earth & Environmental Science http://www.mpimet.mpg.de/fileadmin/models/echam/mpi_report_349.pdf https://dx.doi.org/10.1038/s41467-018-04583-0 https://dx.doi.org/10.1007/s11001-013-9165-9 https://dx.doi.org/10.1016/j.gloplacha.2014.03.010 https://dx.doi.org/10.1002/2016pa002987 https://dx.doi.org/10.1016/s1463-5003(02)00015-x https://dx.doi.org/10.1007/s00382-007-0247-8 http://www.mpimet.mpg.de/fileadmin/models/echam/mpi_report_349.pdf https://dx.doi.org/10.1038/ncomms15681 https://dx.doi.org/10.5194/gmd-5-1221-2012 https://dx.doi.org/10.5194/cp-9-2319-2013 Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 CC-BY File name File format File size Uniform resource locator/link to file Paleo-climate Dynamics @ AWI AWI_PaleoClimate dataset Dataset 2018 ftdatacite https://doi.org/10.1594/pangaea.889138 https://doi.org/10.1038/s41467-018-04583-0 https://doi.org/10.1007/s11001-013-9165-9 https://doi.org/10.1016/j.gloplacha.2014.03.010 https://doi.org/10.1002/2016pa002987 https://doi.org/10.1016/s1463-5003(0 2021-11-05T12:55:41Z We provide global fields of simulated ocean velocity in zonal (netCDF variable UKO) and meridional (netCDF variable VKE) direction at a depth of 420 m. Six climate states are covered in the data set:1. data set PI_mpiom_UKO_VKE_timmean_420m.nc: pre-industrial (PI) control state (representative for 1850 AD) as used in the publications by Stepanek and Lohmann (2012) and Zhang et al. (2013). The respective data is courtesy of Zhang et al. (2013)2. data set LGM_mpiom_UKO_VKE_timmean_420m.nc: a climate state of the Last Glacial Maximum (simulation LGM-W by Zhang et al., 2013), representative for 21 kiloyears (ka) before present (BP)3. data set Plio_mpiom_UKO_VKE_timmean_420m.nc: a climate state of the Mid-Pliocene Warm Period (simulation experiment 2 by Stepanek and Lohmann, 2012), that covers the time from 3.29 - 2.97 million years (Ma) BP4. data set MIO_mpiom_UKO_VKE_timmean_420m.nc: a climate state representing conditions of the early to middle Miocene (23 to 15 Ma BP) including a regional bathymetry reconstruction (15 Ma) of the North Atlantic / Arctic Ocean by Ehlers and Jokat (2013) and considering 450 ppm of carbon dioxide (simulation EO450 by Stärz et al., 2017)5. data set MioW_mpiom_UKO_VKE_timmean_420m.nc: a climate state representing conditions of the early to middle Miocene (23 to 15 Ma BP) including a regional bathymetry reconstruction (15 Ma) of the Weddell Sea (Huang et al., 2014) and considering 450 ppm of carbon dioxide in the atmosphere (simulation MIOW_450 by Huang et al., 2017)6. data set MioW_PIS_mpiom_UKO_VKE_timmean_420m.nc: a climate state similar to 5. but with PI (278 ppm) carbon dioxide concentration and prescribed modern ice sheets (simulation MIOW_PIS by Huang et al., 2017)All data sets represent climatological annual averages over a time period of 100 years. The oceanography is based on climate simulations performed with the Community Earth System Models (COSMOS) that consist of the atmosphere general circulation model ECHAM5 (Roeckner et al., 2003), internally coupled to the land surface and terrestrial carbon cycle model JSBACH (Raddatz et al., 2007) in T31 resolution (3.75°x3.75°) with 19 vertical levels on a hybrid sigma-pressure coordinate, and the ocean general circulation model MPIOM (Marsland et al., 2003) on a bipolar curvilinear GR30 grid with a formal resolution of 3.0°x1.8° and 40 z-coordinate levels. Exchange of momentum, mass, and energy between the atmosphere and ocean domain is enabled via the OASIS3 coupler (Valcke et al., 2003).For all simulations, ocean characteristics (including sea ice) and properties of atmosphere and land (including the land carbon cycle and dynamic vegetation) are computed based on the prescribed climate forcing (concentration of atmospheric trace gases, configuration of the Earth's orbit) and boundary conditions (land surface elevation, ice sheets, ocean bathymetry, and land sea mask). For details of the utilized boundary conditions and climate forcing refer to the original publications describing the data (Stepanek and Lohmann, 2012; Zhang et al., 2013; Huang et al., 2017; Stärz et al., 2017).In case of analyzing velocities of the Arctic Ocean, note that for few grid cells in the northernmost data row (89.5°N), between 280°E and 293°E, there is a data artifact in variable VKE. This artifact is a side effect of rotating and interpolatiing velocities from the curvilinear model grid to a standard NSWE coordinate system; this artifact has not been removed from the data sets. Dataset Arctic Arctic Ocean Atlantic Arctic Atlantic-Arctic North Atlantic Sea ice Weddell Sea DataCite Metadata Store (German National Library of Science and Technology) Arctic Arctic Ocean Weddell Sea Weddell