Dataset: Sea Ice Thickness derived from merging CryoSat-2 and SMOS ice thickness#
Dataset identifier: esa_obs-si_arc_phy-sit_nrt_l4_multi_P1D-m
Data store: cmems
How to open this dataset in AVL JupyterLab
cmems_store = new_data_store('cmems')
ds = cmems_store.open_data('esa_obs-si_arc_phy-sit_nrt_l4_multi_P1D-m')
Basic information#
cmems_store = new_data_store('cmems')
ds = cmems_store.open_data('esa_obs-si_arc_phy-sit_nrt_l4_multi_P1D-m')
| Parameter | Value |
|---|---|
| Bounding box longitude (°) | -5400 to 5400 |
| Bounding box latitude (°) | -5400 to 5400 |
| Time range | 2019-10-31 to 2023-04-08 |
Click here for full dataset metadata.
Variable list#
Click on a variable name to jump to the variable’s full metadata.
| Variable | Long name | Units |
|---|---|---|
| Lambert_Azimuthal_Grid | [none] | [none] |
| analysis_sea_ice_thickness | CS2SMOS merged sea ice thickness | m |
| analysis_sea_ice_thickness_unc | uncertainty of the merged sea ice thickness | m |
| background_sea_ice_thickness | optimal interpolation background field | m |
| correlation_length_scale | correlation length scale of sea ice thickness | m |
| cryosat_sea_ice_thickness | weekly averaged CryoSat-2 ice thickness | m |
| cryosat_sea_ice_thickness_uncertainty | weekly averaged CryoSat-2 ice thickness | m |
| innovation | difference between background and analysis ice thickness | m |
| sea_ice_concentration | sea ice concentration | % |
| sea_ice_type | sea ice type | [none] |
| smos_sea_ice_thickness | weekly averaged SMOS ice thickness | m |
| smos_sea_ice_thickness_uncertainty | weekly averaged SMOS ice thickness uncertaintyy | m |
| weighted_mean_sea_ice_thickness | weighted mean of weekly cs2 and smos ice thickness retrievals | m |
Full variable metadata#
Lambert_Azimuthal_Grid#
| Field | Value |
|---|---|
| grid_mapping_name | lambert_azimuthal_equal_area |
| longitude_of_projection_origin | 0.0 |
| latitude_of_projection_origin | 90.0 |
| false_easting | 0.0 |
| false_northing | 0.0 |
| semi_major_axis | 6378137.0 |
| inverse_flattening | 298.2572326660156 |
| proj4_string | +proj=laea +lon_0=0 +datum=WGS84 +ellps=WGS84 +lat_0=90.0 |
analysis_sea_ice_thickness#
| Field | Value |
|---|---|
| units | m |
| long_name | CS2SMOS merged sea ice thickness |
| standard_name | sea_ice_thickness |
| grid_mapping | Lambert_Azimuthal_Grid |
analysis_sea_ice_thickness_unc#
| Field | Value |
|---|---|
| units | m |
| long_name | uncertainty of the merged sea ice thickness |
| grid_mapping | Lambert_Azimuthal_Grid |
background_sea_ice_thickness#
| Field | Value |
|---|---|
| units | m |
| long_name | optimal interpolation background field |
| standard_name | sea_ice_thickness |
| grid_mapping | Lambert_Azimuthal_Grid |
correlation_length_scale#
| Field | Value |
|---|---|
| units | m |
| long_name | correlation length scale of sea ice thickness |
| grid_mapping | Lambert_Azimuthal_Grid |
cryosat_sea_ice_thickness#
| Field | Value |
|---|---|
| units | m |
| long_name | weekly averaged CryoSat-2 ice thickness |
| standard_name | sea_ice_thickness |
| grid_mapping | Lambert_Azimuthal_Grid |
| source | AWI Sea Ice Radar Altimetry (SIRAL) |
| source_product_version | 2.5 |
cryosat_sea_ice_thickness_uncertainty#
| Field | Value |
|---|---|
| units | m |
| long_name | weekly averaged CryoSat-2 ice thickness |
| standard_name | sea_ice_thickness |
| grid_mapping | Lambert_Azimuthal_Grid |
| source | AWI Sea Ice Radar Altimetry (SIRAL) |
| source_product_version | 2.5 |
innovation#
| Field | Value |
|---|---|
| units | m |
| long_name | difference between background and analysis ice thickness |
| grid_mapping | Lambert_Azimuthal_Grid |
sea_ice_concentration#
| Field | Value |
|---|---|
| units | % |
| long_name | sea ice concentration |
| standard_name | sea_ice_area_fraction |
| grid_mapping | Lambert_Azimuthal_Grid |
| source_product_id | OSI-401 |
| source_product_version | 4.0 |
sea_ice_type#
| Field | Value |
|---|---|
| long_name | sea ice type |
| standard_name | sea_ice_classification |
| grid_mapping | Lambert_Azimuthal_Grid |
| source_product_id | OSI-403-d |
| source_product_version | 5.0 |
| flag_values | 2, 3 |
| flag_meanings | first_year_ice multi_year_ice |
| flag_descriptions | 2 -> relatively young ice\\n 3 -> ice that survived a summer melt |
smos_sea_ice_thickness#
| Field | Value |
|---|---|
| units | m |
| long_name | weekly averaged SMOS ice thickness |
| standard_name | sea_ice_thickness |
| grid_mapping | Lambert_Azimuthal_Grid |
| source | SMOS-Icethickness |
| source_product_version | 3.3 |
smos_sea_ice_thickness_uncertainty#
| Field | Value |
|---|---|
| units | m |
| long_name | weekly averaged SMOS ice thickness uncertaintyy |
| standard_name | sea_ice_thickness |
| grid_mapping | Lambert_Azimuthal_Grid |
| source | SMOS-Icethickness |
| source_product_version | 3.3 |
weighted_mean_sea_ice_thickness#
| Field | Value |
|---|---|
| units | m |
| long_name | weighted mean of weekly cs2 and smos ice thickness retrievals |
| standard_name | sea_ice_thickness |
| grid_mapping | Lambert_Azimuthal_Grid |
Full dataset metadata#
| Field | Value |
|---|---|
| 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 | 205 |
| processing_mode | o |
| time_of_creation | Thu Apr 13 10:07:53 2023 |
| history | Thu Apr 13 10:07:53 2023 creation |
| cdm_data_type | Grid |
| Conventions | CF-1.6 |
| 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 | 2023-04-05T00:00:00Z |
| time_coverage_end | 2023-04-12T00:00:00Z |
| time_coverage_duration | P7D |
| time_coverage_resolution | P1D |
| 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 |
| 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. |