ECMWF S2S ECCC forecast control sfc_snow_ice ci: Ice Cover Proportion data

forecast control sfc_snow_ice Ice Cover Proportion from ECMWF S2S ECCC: ECCC Ensemble Prediction System.

Independent Variables (Grids)

Lead (forecast_period)
grid: /LA (days) ordered (0.5 days) to (31.5 days) by 1.0 N= 32 pts :grid
forecast start time (forecast_reference_time)
grid: /S (days since 1960-01-01) ordered (0000 7 Jan 2016) to (0000 23 May 2019) by 7.0 N= 177 pts :grid
longitude (longitude)
grid: /X (degree_east) periodic (0) to (1.5W) by 1.5 N= 240 pts :grid
latitude (latitude)
grid: /Y (degree_north) ordered (90N) to (90S) by 1.5 N= 121 pts :grid

Other Info

bufferwordsize
4
datatype
realarraytype
gribPDSpattern
04XXXX000B0200
missing_value
9.99900026E20
pointwidth
0.0
standard_name
sea_ice_area_fraction
units
unitless
standard units*
unitless

Last updated: Sat, 15 Jun 2019 17:19:38 GMT

Data Views

LASXY
[ X Y | LA S]MMMM


Filters

Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information. Average over X Y LA S | X Y X LA X S Y LA Y S LA S | X Y LA X Y S X LA S Y LA S | X Y LA S |
RMS (root mean square with mean *not* removed) over X Y LA S | X Y X LA X S Y LA Y S LA S | X Y LA X Y S X LA S Y LA S | X Y LA S |
RMSA (root mean square with mean removed) over X Y LA S | X Y X LA X S Y LA Y S LA S | X Y LA X Y S X LA S Y LA S | X Y LA S |
Maximum over X Y LA S | X Y X LA X S Y LA Y S LA S | X Y LA X Y S X LA S Y LA S | X Y LA S |
Minimum over X Y LA S | X Y X LA X S Y LA Y S LA S | X Y LA X Y S X LA S Y LA S | X Y LA S |
Detrend (best-fit-line) over X Y LA S | X Y X LA X S Y LA Y S LA S | X Y LA X Y S X LA S Y LA S | X Y LA S |
Convert units from unitless to

Note on units