Dataset: neXtSIM-F sea ice forecast, 3 km hourly-averaged fields (cmems_mod_arc_phy_anfc_nextsim_hm)
Dataset identifier: cmems_mod_arc_phy_anfc_nextsim_hm
Data store: cmems
How to open this dataset in AVL JupyterLab
cmems_store = new_data_store('cmems')
ds = cmems_store.open_data('cmems_mod_arc_phy_anfc_nextsim_hm')
Parameter |
Value |
Bounding box longitude (°) |
-3601500 to 3799500 |
Bounding box latitude (°) |
-4301500 to 2799500 |
Time range |
2019-08-01 to 2023-04-23 |
Time period |
0D |
Click here for full dataset metadata.
Variable list
Click on a variable name to jump to the variable’s full metadata.
latitude
Field |
Value |
standard_name |
latitude |
long_name |
latitude |
units |
degrees_north |
longitude
Field |
Value |
standard_name |
longitude |
long_name |
longitude |
units |
degrees_east |
sialb
Field |
Value |
standard_name |
sea_ice_albedo |
long_name |
Sea ice albedo |
units |
1 |
cell_methods |
time: mean (interval: 1 hours) area: mean where sea_ice |
grid_mapping |
stereographic |
siconc
Field |
Value |
standard_name |
sea_ice_area_fraction |
long_name |
Sea Ice Concentration |
cell_methods |
time: mean (interval: 1 hours) area: mean |
grid_mapping |
stereographic |
units |
1 |
siconc_my
Field |
Value |
standard_name |
sea_ice_classification |
long_name |
Sea ice Area Fraction of Multi-year Ice |
units |
1 |
cell_methods |
time: mean (interval: 1 hours) area: mean |
grid_mapping |
stereographic |
sisnthick
Field |
Value |
standard_name |
surface_snow_thickness |
long_name |
Surface Snow Thickness |
units |
m |
cell_methods |
time: mean (interval: 1 hours) area: mean |
grid_mapping |
stereographic |
sithick
Field |
Value |
standard_name |
sea_ice_thickness |
long_name |
Sea Ice Thickness |
units |
m |
cell_methods |
time: mean (interval: 1 hours) area: mean |
grid_mapping |
stereographic |
stereographic
Field |
Value |
latitude_of_projection_origin |
90.0 |
longitude_of_projection_origin |
-45.0 |
straight_vertical_longitude_from_pole |
-45.0 |
semi_major_axis |
6378273.0 |
semi_minor_axis |
6378273.0 |
scale_factor_at_projection_origin |
1.0 |
grid_mapping_name |
polar_stereographic |
false_northing |
0.0 |
false_easting |
0.0 |
proj4 |
+proj=stere +lat_0=90 +lat_ts=90 +lon_0=-45 +x_0=0 +y_0=0 +R=6378273 +ellps=sphere +units=m +no_defs |
vxsi
Field |
Value |
standard_name |
sea_ice_x_velocity |
long_name |
Sea Ice X Velocity |
units |
m s-1 |
cell_methods |
time: mean (interval: 1 hours) area: mean |
grid_mapping |
stereographic |
vysi
Field |
Value |
standard_name |
sea_ice_y_velocity |
long_name |
Sea Ice Y Velocity |
units |
m s-1 |
cell_methods |
time: mean (interval: 1 hours) area: mean |
grid_mapping |
stereographic |
Field |
Value |
Conventions |
CF-1.6 |
institution |
NERSC, Jahnebakken 3, N-5007 Bergen, Norway |
source |
neXtSIM model fields |
email |
nextsimf@nersc.no |
title |
neXtSIM-F sea ice forecast, 3 km hourly-averaged fields (cmems_mod_arc_phy_anfc_nextsim_hm) |
cmems_product_id |
ARCTIC_ANALYSISFORECAST_PHY_ICE_002_011 |
field_type |
Files based on file type moorings |
bulletin_type |
Forecast |
forecast_range |
9 days |
field_date |
2023-04-23 |
bulletin_date |
2023-04-15 |