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  • 1
    Publication Date: 2023-03-16
    Description: Herein, we publish the simulated global annual mean temperature (THO), salinity (SAO), ice compactness (SICOMO), Atlantic Meridional Overturning Circulation (AMOC), Global Meridional Overturning Circulation (GMOC), zonal velocity (UKO), meridional velocity (VKE), 10m u-velocity (u10), 10m v-velocity (v10), mixed layer depth (zmld), horizontal barotropic streamfunction (PSIUWE) and sealevel (ZO) over a time period of 100 years retrieved from equilibrium climate simulations for the Miocene (~23-15 Ma) and use different Greenland-Scotland Ridge (GSR) and Fram Strait (FS) sill depths as a representative for different tectonic settings that occur during the subsidence interval and utilized in the publication by Hossain et al. (2020). The climate data has been produced with COSMOS (ECHAM5/JSBACH/MPIOM/OASIS3), utilized at a resolution of T31 in the atmosphere (19 hybrid sigma-pressure levels) and a resolution of GR30 (bipolar orthogonal curvilinear grid, formal resolution of ~3.0°x1.8°) in the ocean (40 z-coordinate levels). The model setup refers to boundary conditions (incl. changes in orography, bathymetry, physical land surface characteristics, ice sheets, atmospheric CO2) representative for the Miocene. Details on setup and identifiers of Miocene model simulations can be found in Table 1 and Supplementary Table 1 of Hossain et al., 2020.
    Keywords: AWI_PaleoClimate; Fram Strait; Greenland-Scotland Ridge; Miocene; Paleo-climate Dynamics @ AWI; Thermohaline Fingerprints
    Type: Dataset
    Format: application/zip, 290.7 MBytes
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  • 2
    Publication Date: 2024-04-20
    Description: Herein, we publish the simulated global annual mean sea surface salinity (SAO), sea surface temperature (THO), ice compactness (SICOMO), zonal velocity (UKO), meridional velocity (VKE) and Atlantic Meridional Overturning Circulation (AMOC) over a time period of 100 years retrieved from equilibrium climate simulations for the Miocene (~23-15 Ma). We investigate the sensitivity of stratification in the Arctic Ocean to the widening of Fram Strait (FS) and different levels of atmospheric CO2 concentrations. The model data has been used in the publication by Hossain et al., 2020. The climate data has been produced with 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 (incl. changes in orography, bathymetry, physical land surface characteristics, ice sheets, atmospheric CO2) representative for the Miocene. Details on setup and identifiers of Miocene model simulations can be found in Table 1 of Hossain et al., 2020.
    Keywords: Arctic Ocean; AWI_PaleoClimate; Binary Object; Fram Strait; Miocene; Modern-Like Three-Layer Stratification; Paleo-climate Dynamics @ AWI; ventilation
    Type: Dataset
    Format: text/tab-separated-values, 18 data points
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  • 3
    Publication Date: 2024-04-20
    Description: We present basal melt rates for the ice shelves in equilibrium simulations of the Antarctic ice sheet (AIS), using the 3D thermodynamical Parallel Ice Sheet Model (PISM) version 1.1 with PICO as ocean component. The applied climate forcing consists of yearly mean present-day temperature and precipitation fields from RACMO2.3 (RACMO2 ANT27), and 400-800 m depth average ocean temperature and salinity, obtained from simulations using the atmosphere-ocean general circulation model COSMOS (ocean model MPIOM). COSMOS was run using pre-industrial settings (PID; 278 ppm CO2), settings from 40 kyr ago (40ka; 195 ppm CO2), and Last Glacial Maximum settings (LGM; 185 ppm CO2). All simulations are started with present-day bedrock conditions, and a present-day AIS size (Bedmap2). The steady state simulations are conducted by applying the same climate forcing over 200 kyr, after a thermodynamical spin-up (no mass changes) of 200,100 yr.
    Keywords: 40ka; Antarctica; Antarctic Ice Sheet; Basal melt rates; Glacial climate; Last Glacial Maximum; pre-industrial
    Type: Dataset
    Format: application/zip, 164.5 kBytes
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  • 4
    Publication Date: 2024-04-20
    Description: We present climate model output for various atmosphere and ocean quantities that illustrate the impact of three different types of forcing on global climate characteristics during mid-Pliocene (~3.3 - 3.0 Million years before present, Ma BP) and early to Mid-Miocene (~23-15 Ma BP): -geography, including setups for modern, mid-Pliocene, and early to Mid-Miocene -carbon dioxide, ranging from Pre-Industrial (280 parts per million by volume, ppmv) to 840 ppmv -strength of ocean mixing via enhancement of respective mixing parameters, ranging from the unperturbed state to mild (five times), intermediate (ten times), and strong (twenty-fife times) enhancement of vertical mixing. The data provided with this data publication has been employed by the authors in the manuscript "Effects of CO2 and ocean mixing on Miocene and Pliocene temperature gradients" (revised for publication in the journal Paleoceanography and Paleoclimatology, special issue "The Miocene: The Future of the Past") for a comparative study of the effects of carbon dioxide and ocean mixing on various climate characteristics. Here we provide all climate output that has been employed towards creating analyses presented in that publication. Data is provided at the resolution employed for generating analyses for the manuscript. Atmosphere model output provided at native model resolution (T31, ~3.75°x3.75° horizontally). Ocean output provided at a regular grid (the native grid of the ocean model is curvilinear with a formal resolution of 3.0°x1.8° horizontally). Sea ice cover provided at a resolution of 1.0°x1.0°. Zonal mean of ocean potential temperature over all model levels provided at a latitudinal resolution of 1°, vertically discretized on native ocean model levels (40 pressure levels of non-linear spacing). Depth of the ocean mixed layer, sea surface temperature, and total heat flux across the atmosphere ocean interface given at resolutions of 0.5°x0.5° resolution. Data at higher resolutions is provided towards retaining more details of the coastlines and of ocean gateway regions.
    Keywords: Binary Object; Binary Object (File Size); carbon dioxide; climate model; climate patterns; Miocene; ocean mixing; Pliocene
    Type: Dataset
    Format: text/tab-separated-values, 133 data points
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  • 5
    Publication Date: 2024-04-20
    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.
    Keywords: 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
    Type: Dataset
    Format: application/zip, 25.9 MBytes
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