Product Description OverviewParameter | Sea ice thickness | Spatial covergae | N: 90°, S:16.6°, E:180°, W:-180° | Spatial Resolution | 25 km x 25 km | Temporal Coveragecoverage of the data record: | November 2010 to presentTemporal Resolution | Time coverage resolution | 1 day | Time coverage duration | 7 days | Data Format(s) | NetCDF | Platforms | CryoSat-2, SMOS | Version | v201v204 |
File naming conventionNetCDF files are named using the following convention: <convention-prefix>_<regional code>- <institution>,<platform(s)>,<grid>_<time>_<mode>_<product version>_<file version>.nc
convention-prefix | World Meteorological Organization: W | regional code | European: XX | institution | European Space Agency: ESA | processing level/parameter | level 4 sea ice thickness: l4sit | Platform(s) | satellites: SMOS, CS2 | grid | 25 km EASE2 grid, Northern Hemisphere: NH_25KM_EASE2 | time | time span: yyyymmdd - yyyymmdd | mode | reprocessing: r, operational: o | product version | version 2.0.14: v201v204 | file version | version 1: 01 |
Example NetCDF naming for operationally processed data: W_XX-ESA,SMOS_CS2,NH_25KM_EASE2_2018032620190304_2018040120190310_o_v201v204_01_l4sit.nc Example NetCDF naming for reprocessed data: W_XX-ESA,SMOS_CS2,NH_25KM_EASE2_2018032620190304_2018040120190310_r_v201v204_01_l4sit.nc The weekly grids are given in standardized binary data format (Network common data form: NetCDF v4). Global attributes are given in Table 21. The variables are given as grid arrays, see , therefore Table 32. NetCDF files are formatted according to CF conventions: CF-1.6 ACDD-1.3. We use a scaling factor of 10^-3 and a fillvalue = -2147483647.
Table 21: Global attributes from an example NetCDF file, covering the week from March 26 04 to April 01March 10, 20182019. Attribute | Value |
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title | Sea Ice Thickness derived from merging CryoSat-2 and SMOS ice thickness | description | Weekly Arctic sea-ice thickness derived from CryoSat-2 and SMOS using an optimal interpolation scheme | summary | Weekly Arctic sea-ice thickness derived from CryoSat-2 and SMOS using an optimal interpolation scheme | keywords | Cryosphere > Sea Ice > Sea Ice Thickness | product_version | 201204 | processing_mode | r | time_of_creation | Mon 22 172755 2018Mon 22 172755 2018 06 2019 creation | Conventions | CF-1.6 | ACDD-1.3 | spatial_resolution | 25.0 km grid spacing | geospatial_lat_min | 16.623929977416992 | 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 | 201826T0004T00:00:00Z | time_coverage_end | 20180401T0011T00:00:00Z | time_coverage_duration | P7D | time_coverage_resolution | P7DP1D | platform | CryoSat-2, 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 | www.awi.de | contributor_name | Robert Ricker, Stefan Hendricks, Xiangshan Tian-Kunze, Lars Kaleschke | contributor_role | PrincipalInvestigator, Author, Author, Author | publisher_email | cs2smos-support@awi.de | publisher_url | https://spaces.awi.de/confluence/x/DwVmEQ |
publisher_email | robert.ricker@awi.de | references | Ricker, R., Hendricks, S., Kaleschke, L., Tian-Kunze, X., King, J., and Haas, C.: A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data, The Cryosphere, 11, 1607-1623, https://doi.org/10.5194/tc-11-1607-2017, 2017. | _CoordSysBuilder | ucar.nc2.dataset.conv.CF1Convention |
Table 32: NetCDF file content. Note, that we use a scaling factor of 10^-3 and a fillvalue = -2147483647. Variable | Description | Unit | Type | Dimension |
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Lambert_Azimuthal_Grid | proj4_string: +proj=laea +lon_0=0 +datum=WGS84 +ellps=WGS84 +lat_0=90.0 | - | int | - | time_bnds | start and end time of the weekly retrieval | seconds since 1978-01-01 00:00:00 | double | 2 | analysis_sea_ice_thickness | CS2SMOS weekly merged sea ice thickness | m | int | 1,432,432 | background_sea_ice_thickness | background field, interpolation using CS2 and SMOS sea ice thickness data | m | int | 1,432,432 | weighted_mean_sea_ice_thickness | weighted mean of weekly CS2 and SMOS ice thickness retrievals | m | int | 1,432,432 | innovation | difference between background and analysis ice thickness | m | int | 1,432,432 | sea_ice_ | conc concentration (OSI-401)concentration | % | int | 1,432,432 | sea_ice_type | sea ice | type (OSI-403)type | - | int | 1,432,432 | correlation_length_scale | correlation length scale of background ice thickness | m | int | 1,432,432 | analysis_sea_ice_thickness_unc | uncertainty of the merged sea ice thickness | m | int | 1,432,432 | smos_sea_ice_thickness | weekly averaged SMOS ice thickness | m | int | 1,432,432 | cs2cryosat_sea_ice_thickness | weekly averaged CryoSat-2 ice thickness | m | int | 1,432,432 | time | reference time of product (middle of the week) | seconds since 1978-01-01 00:00:00 | double | 1 | xc | x coordinate of projection (eastings) | km | doublefloat | 432 | yc | y coordinate of projection (northings) | km | doublefloat | 432 | lon | longitude coordinate | degrees_north
| float | 432,432 | lat | latitude coordinate | degrees_east
| float | 432,432 |
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