Y root mean sq X ∫dX [ ECMWF S2S ECCC forecast control sfc_snow_ice sd ] : Y X Snow Depth Water Equivalent data

forecast control sfc_snow_ice sd int_dX partial_X partial_X Y X Snow Depth Water Equivalent 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
Latitude (latitude)
grid: /Y (degree_north) ordered (89.25N) to (89.25S) by 1.5 N= 120 pts :grid

Other Info

CE
null
CS
null
datatype
realarraytype
file_missing_value
9.99900026E20
gribPDSpattern
04XXXX000B013C
missing_value
NaN
pointwidth
0.0
standard_name
surface_snow_amount
units
57.2957795130823 kilogram meter-2 radian-1 north
history
Averaged over X[0.75W, 0.75W] S[0000 7 Jan 2016, 2400 25 Sep 2019] minimum 0.0% data present

Last updated: Sat, 19 Oct 2019 14:29:14 GMT

Data Views

LAY
[ Y LA |]MM


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 Y LA | Y LA |
RMS (root mean square with mean *not* removed) over Y LA | Y LA |
RMSA (root mean square with mean removed) over Y LA | Y LA |
Maximum over Y LA | Y LA |
Minimum over Y LA | Y LA |
Detrend (best-fit-line) over Y LA | Y LA |
Convert units from 57.2957795130823 kilogram meter-2 radian-1 north to

Note on units