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  • File content; File format; File name; File size; Uniform resource locator/link to file  (2)
  • Arctic; CMST; File content; File format; File name; File size; Fram Strait; sea ice drift; Uniform resource locator/link to file  (1)
  • Center for Marine Environmental Sciences; File format; File name; File size; MARUM; Uniform resource locator/link to file  (1)
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  • 1
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    A dynamically consistent gridded data set of the global, monthly-mean oxygen isotope ratio of seawater, link to NetCDF files (2018)
    PANGAEA
    In:  Supplement to: Breitkreuz, Charlotte; Paul, André; Kurahashi-Nakamura, Takasumi; Losch, Martin; Schulz, Michael (2018): A dynamical reconstruction of the global monthly-mean oxygen isotopic composition of seawater. Journal of Geophysical Research: Oceans, 123(10), 7206-7219, https://doi.org/10.1029/2018JC014300
    Details
    Publikationsdatum: 2023-03-03
    Beschreibung: We present a dynamically consistent gridded data set of the global, monthly-mean oxygen isotope ratio of seawater (δ¹⁸Osw). The data set is created from an optimized simulation of an ocean general circulation model constrained by global monthly δ¹⁸Osw data collected from 1950 until 2011 and climatological salinity and temperature data collected from 1951 to 1980. The optimization was obtained using the adjoint method for variational data assimilation, which yields a simulation that is consistent with the observational data and the physical laws incorporated in the model. Our data set performs equally well as a previous data set in terms of model-data misfit and brings an improvement in terms of physical consistency and a seasonal cycle. The data assimilation method shows high potential for interpolating sparse data sets in a physical meaningful way. Comparatively big errors, however, are found in our data set in the surface levels in the Arctic Ocean mainly because there is no influence of isotopically highly depleted precipitation on the ocean in areas with sea-ice, and because of the low model resolution. The data set is the 100-year monthly-mean of the optimized 400-year equilibrium model simulation. It includes simulated δ¹⁸Osw, potential temperature, and salinity on the model grid. The model uses a cubed-sphere grid with a horizontal resolution of 2.8° and 15 vertical levels. We additionally provide the data interpolated onto a 1° lat-lon grid. Values at the edge of the ocean, which could not be interpolated, are set to the respective values in the raw data set on the model grid.
    Schlagwort(e): Center for Marine Environmental Sciences; File format; File name; File size; MARUM; Uniform resource locator/link to file
    Materialart: Dataset
    Format: text/tab-separated-values, 4 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 2
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    Unbekannt
    The Arctic combined model and satellite sea ice thickness (CMST) dataset (2018)
    PANGAEA
    In:  Supplement to: Mu, Longjiang; Losch, Martin; Yang, Qinghua; Ricker, Robert; Losa, Svetlana N; Nerger, Lars (2018): Arctic-wide sea ice thickness estimates from combining satellite remote sensing data and a dynamicice-ocean model with data assimilation during the CryoSat-2 period. Journal of Geophysical Research: Oceans, 123(11), 7763-7780, https://doi.org/10.1029/2018JC014316
    Details
    Publikationsdatum: 2023-01-13
    Beschreibung: An Arctic sea ice thickness record covering from 2010 to 2016 is generated by assimilating satellite thickness from CryoSat-2 and Soil Moisture and Ocean Salinity (SMOS). The model is based on the Massachusetts Institute of Technology general circulation model (MITgcm) and the assimilation is performed by a local Error Subspace Transform Kalman filter (LESTKF) coded in the Parallel Data Assimilation Framework (PDAF).
    Schlagwort(e): File content; File format; File name; File size; Uniform resource locator/link to file
    Materialart: Dataset
    Format: text/tab-separated-values, 35 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 3
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    MITcgm numerical model code (with landfast ice parametrization) and output (2017)
    PANGAEA
    Details
    Publikationsdatum: 2023-01-13
    Beschreibung: The numerical model documented here is a regional coupled sea ice - ocean model based on the Massachusetts Institute of Technology General Circulation Model code - MITgcm (for details we refer to: http://mitgcm.org/public/r2_manual/latest/online_documents) with a model domain covering the Arctic Ocean, Nordic Seas and northern North Atlantic. The horizontal resolution is 1/4 degree (approx. 28 km) on a rotated grid with the grid equator passing through the geographical North Pole. The sea ice model is a dynamic-thermodynamic sea-ice model with a viscous-plastic rheology and has a landfast ice parametrization as described by Itkin et al [2015, see bellow], where more details about the model set-up can be found. The model is forced by the atmospheric reanalysis -- The Climate Forecast System Reanalysis from 1979 to 2010 and then from 2011 to 2014 with the NCEP Climate Forecast System Version 2. The model output provided here contains sea ice simulations used by Itkin and Krumpen, [2017, see bellow]. The control run (CTRL) is forced by the CFSR and CSFv2. In the climatological run (CLIM) the May-December fields are replaced by the climatology (1979-2013). On 1. January each year the run is restarted from CTRL. Initial years 1979-1991 are regarded as spin up are not included into the data set here.
    Schlagwort(e): File content; File format; File name; File size; Uniform resource locator/link to file
    Materialart: Dataset
    Format: text/tab-separated-values, 15 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
  • 4
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    Unbekannt
    The Arctic sea ice drift simulation from October 2010 to December 2016 (2019)
    PANGAEA
    Details
    Publikationsdatum: 2023-01-30
    Beschreibung: The simulated sea ice drift data is a by-product from a sea ice thickness assimilation system that generates the Arctic 'Combined Model and Satellite sea ice Thickness (CMST; doi:10.1594/PANGAEA.891475) ' dataset. The data also provide the ocean current velocity where ice free. To obtain the sea ice drift on the geographic coordinate, a transformation must be done as following: uE = AngleCS * SIuice - AngleSN * SIvice; vN = AngleSN * SIuice + AngleCS * SIvice; where uE and vN are two velocity components on the geographic coordinate; AngleCS and AngleSN can be found in 'grid.cdf'; SIuice and SIvice are sea ice velocity on model mesh.
    Schlagwort(e): Arctic; CMST; File content; File format; File name; File size; Fram Strait; sea ice drift; Uniform resource locator/link to file
    Materialart: Dataset
    Format: text/tab-separated-values, 75 data points
    Standort Signatur Erwartet Verfügbarkeit
    BibTip Andere fanden auch interessant ...
    DATEN PANGAEA
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