Dataset: satellite-sea-ice-thickness:envisat
Dataset identifier: satellite-sea-ice-thickness:envisat
Data store: cds
How to open this dataset in AVL JupyterLab
cds_store = new_data_store('cds')
ds = cds_store.open_data('satellite-sea-ice-thickness:envisat, time_range=[?]')
Bounding box map
Map tiles and data from OpenStreetMap, under the ODbL.
Variable list
Click on a variable name to jump to the variable’s full metadata.
sea_ice_thickness
| Field |
Value |
| ancillary_variables |
uncertainty status_flag quality_flag |
| comment |
this field is the primary sea ice thickness estimate for this climate data record |
| coordinates |
time lat lon |
| coverage_content_type |
physicalMeasurement |
| grid_mapping |
Lambert_Azimuthal_Grid |
| long_name |
Sea Ice Thickness |
| standard_name |
sea_ice_thickness |
| units |
m |
quality_flag
| Field |
Value |
| comment |
The expert assessment on retrieval quality is only provided for grid cess with valid thickness retrieval |
| coordinates |
time lat lon |
| coverage_content_type |
qualityInformation |
| grid_mapping |
Lambert_Azimuthal_Grid |
| long_name |
Sea Ice Thickness Quality Flag |
| standard_name |
quality_flag |
| units |
1 |
| valid_max |
3 |
| valid_min |
0 |
status_flag
| Field |
Value |
| coordinates |
time lat lon |
| coverage_content_type |
qualityInformation |
| grid_mapping |
Lambert_Azimuthal_Grid |
| long_name |
Sea Ice Thickness Status Flag |
| standard_name |
status_flag |
| units |
1 |
| valid_max |
5 |
| valid_min |
0 |
uncertainty
| Field |
Value |
| coordinates |
time lat lon |
| coverage_content_type |
auxiliaryInformation |
| grid_mapping |
Lambert_Azimuthal_Grid |
| long_name |
Sea Ice Thickness Uncertainty |
| standard_name |
sea_ice_thickness standard_error |
| units |
m |