Dataset: Arctic Ocean Physics Analysis and Forecast, 12.5km hourly instantaneous surface fields
Dataset identifier: dataset-topaz4-arc-1hr-myoceanv2-be
Data store: cmems
How to open this dataset in AVL JupyterLab
cmems_store = new_data_store('cmems')
ds = cmems_store.open_data('dataset-topaz4-arc-1hr-myoceanv2-be')
Bounding box map

Map tiles and data from OpenStreetMap, under the ODbL.
| Parameter |
Value |
| Bounding box longitude (°) |
-38.0625 to 38.0625 |
| Bounding box latitude (°) |
-55.0625 to 55.0625 |
| Time range |
2018-01-01 to 2023-04-24 |
Click here for full dataset metadata.
Variable list
Click on a variable name to jump to the variable’s full metadata.
fice
| Field |
Value |
| standard_name |
sea_ice_area_fraction |
| units |
1 |
| grid_mapping |
stereographic |
| cell_methods |
area: mean |
hice
| Field |
Value |
| standard_name |
sea_ice_thickness |
| units |
m |
| grid_mapping |
stereographic |
| cell_methods |
area: mean where sea_ice |
hsnow
| Field |
Value |
| standard_name |
surface_snow_thickness |
| units |
m |
| grid_mapping |
stereographic |
| cell_methods |
area: mean where sea_ice |
model_depth
| Field |
Value |
| standard_name |
sea_floor_depth_below_sea_level |
| units |
meter |
| grid_mapping |
stereographic |
| cell_methods |
area: mean |
salinity
| Field |
Value |
| standard_name |
sea_water_salinity |
| units |
1e-3 |
| grid_mapping |
stereographic |
| cell_methods |
area: mean |
ssh
| Field |
Value |
| standard_name |
sea_surface_elevation |
| units |
m |
| grid_mapping |
stereographic |
| cell_methods |
area: mean |
stereographic
| Field |
Value |
| grid_mapping_name |
polar_stereographic |
| latitude_of_projection_origin |
90.0 |
| longitude_of_projection_origin |
-45.0 |
| scale_factor_at_projection_origin |
1.0 |
| straight_vertical_longitude_from_pole |
-45.0 |
| false_easting |
0.0 |
| false_northing |
0.0 |
temperature
| Field |
Value |
| standard_name |
sea_water_potential_temperature |
| units |
Celsius |
| grid_mapping |
stereographic |
| cell_methods |
area: mean |
u
| Field |
Value |
| grid_mapping |
stereographic |
| standard_name |
x_sea_water_velocity |
| units |
m s-1 |
| cell_methods |
area:mean |
uice
| Field |
Value |
| standard_name |
sea_ice_x_velocity |
| units |
m s-1 |
| grid_mapping |
stereographic |
| cell_methods |
area: mean where sea_ice |
v
| Field |
Value |
| grid_mapping |
stereographic |
| standard_name |
y_sea_water_velocity |
| units |
m s-1 |
| cell_methods |
area:mean |
vice
| Field |
Value |
| standard_name |
sea_ice_y_velocity |
| units |
m s-1 |
| grid_mapping |
stereographic |
| cell_methods |
area: mean where sea_ice |
| Field |
Value |
| CDI |
Climate Data Interface version 1.9.2 (http://mpimet.mpg.de/cdi) |
| Conventions |
CF-1.4 |
| title |
Arctic Ocean Physics Analysis and Forecast, 12.5km hourly instantaneous surface fields |
| references |
http://marine.copernicus.eu |
| field_type |
Files based on file type archs |
| field_date |
2023-04-24 |
| bulletin_date |
2023-04-15 |
| CDO |
Climate Data Operators version 1.9.2 (http://mpimet.mpg.de/cdo) |
| NCO |
4.4.7 |
| bulletin_type |
Forecast |
| Forecast_range |
10 days |