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#

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.

Variable Long name Units
sea_ice_thickness Sea Ice Thickness m
quality_flag Sea Ice Thickness Quality Flag 1
status_flag Sea Ice Thickness Status Flag 1
uncertainty Sea Ice Thickness Uncertainty m

Full variable 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