Product DescriptionOverviewTable 1: Overview of SMOS Product
Parameter | Sea ice thickness | Spatial covergae | N: 90°, S:50°, E:180°, W:-180°Northern hemisphere, poleward of 50°N, -180°E to 180°E | Spatial Resolution | 12.5 km x12.5 km | Temporal Coverage: | since 15. Oct. 2018
| Temporal Resolution | 1 day | Data Format(s) | NetCDF v3
| Platforms | SMOS | Version | v3.2 |
File naming conventionname
NetCDF files are named as:
SMOS_Icethickness_v3.2_north_<date>.nc Daily mean SMOS sea ice thickness is given in NetCDF v3 format. Global attributes are given in Table 2. The variables are given as grid arrays , see, therefore as listed in Table 3.
Table 2: Global attributes from an example NetCDF file.
Attribute | Value |
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| title | Daily gridded sea-ice thickness and auxiliary parameters from satellite L-band radiometry data | | description | CS2SMOS PDS CR-1: SMOS Sea Ice Data Product Processing and Dissemination Tasks, supported by ESA | | summary | This dataset contains Level-3 daily sea ice thickness products from satellite observations in the northern hemisphere. Northern hemisphere sea ice thickness coverage is limited to the winter month between October and April. 100% sea ice coverage is assumed, which leads to underestimation of sea ice thickness. | | keywords | Earth Science > Cryosphere > Sea Ice > Ice Depth/Thickness, Earth Science > Oceans > Sea Ice > Ice Depth/Thickness, Earth Science > Climate Indicators > Cryospheric Indicators > Ice Depth/Thickness, Geographic Region > Northern Hemisphere, Vertical Location > Sea Surface, Institutions > AWI > Alfred Wegener Institute for Polar and Marine Research | | product_version | v3.2
| | processing_mode | time_of_creation | | operational | | grid | NSIDC polar stereographic projection. http://nsidc.org/data/polar_stereo/ps_grids.html | | history | Product generated with SMOS sea ice thickness retrieval Algorithm v3.2 | source
| SMOS v620 L1C brightness temperature | history | Conventions | | spatial_resolution | 12.5 km grid spacing | | geospatial_lat_min | 50.0 | | geospatial_lat_max | 90.0 | | geospatial_lon_min | -180.0 | | geospatial_lon_max | 180.0 | | geospatial_vertical_min | 0.0 | | geospatial_vertical_max | 0.0 | time_coverage_start | 2018yyyy-10mm-28T00ddT00:00:00Z | time_coverage_end | 2018yyyy-10mm-28T23ddT23:59:00Z59Z | time_coverage_duration | P1D | time_coverage_resolution | P1D | platform | SMOS | project | CS2SMOS PDS: SMOS & CryoSat-2 Sea Ice Data Product Processing and Dissemination Service | institution | Alfred-Wegener-Institut Helmholtz Zentrum für Polar und Meeresforschung (AWI), http://www.awi.de | creator_name | Alfred-Wegener-Institut Helmholtz Zentrum für Polar und Meeresforschung (AWI), http://www.awi.de | creator_type | institution | creator_url | https://spaces.awi.de/confluence/x/DwVmEQ | publisher_email | xiangshan.tiankunze@awi.de | | references | 1) Kaleschke, L., X. Tian-Kunze, N. Maass, M. Maekynen, and M. Drusch (2012), Sea ice thickness retrieval from SMOS brightness temperatures during the Arctic freeze-up period, Geophys. Res. Lett., 39, L05501, doi:10.1029/2012GL050916. (2) Tian-Kunze, X., Kaleschke, L., Maass, N., Maekynen, M., Serra, N., Drusch, M., and Krumpen, T., SMOS-derived sea ice thickness: algorithm baseline, product specifications and initial verification, The Cryosphere, 8, 997-1018, doi:10.5194/tc-8-997-2014, 2014 (3) Kaleschke, L., Tian-Kunze, X., Maass, N., Beitsch, A., Wernecke, A., Miernecki, M. and others, SMOS sea ice product: operational application and validation in the Barents Sea marginal ice zone, Remote Sensing of Environment 180 (2016), 264-273. doi: 10.1016/j.rse.2016.03.009 (4) Tietsche, S., Alonso-Balmaseda, M., Rosnay, P., Zuo, H., Tian-Kunze, X., and Kaleschke, L.: Thin Arctic sea ice in L-band observations and an ocean reanalysis, The Cryosphere, 12, 2051-2072, https://doi.org/10.5194/tc-12-2051-2018, 2018. | geospatial_bounds_crs | EPSG:3411 | _CoordSysBuilder | ucar.nc2.dataset.conv.CF1Convention |
Table 3: NetCDF file content.
Variable | Description | Unit | Type | Dimension |
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