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    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
    Publication Date: 2023-01-13
    Description: 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).
    Keywords: File content; File format; File name; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 35 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-01-13
    Description: 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.
    Keywords: File content; File format; File name; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 15 data points
    Location Call Number Limitation Availability
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