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

forecast control sfc_snow_ice sd int_dX partial_X partial_X X Snow Depth Water Equivalent from ECMWF S2S ECCC: ECCC Ensemble Prediction System.

Independent Variables (Grids)

latitude (latitude)
grid: /Y (degree_north) ordered (90N) to (90S) by 1.5 N= 121 pts :grid

Other Info

bufferwordsize
8
CE
null
CS
null
datatype
doublearraytype
file_missing_value
9.99900026E20
gribPDSpattern
04XXXX000B013C
missing_value
NaN
pointwidth
0.0
standard_name
surface_snow_amount
units
kg m-2
standard units*
kilogram meter-2
history
min root mean sq $partialdiff sub X$ $integral dX$ [ ECMWF S2S ECCC forecast control sfc_snow_ice sd ]
Averaged over X[0.75W, 0.75W] S[0000 7 Jan 2016, 2400 18 Sep 2019] minimum 0.0% data present
min over LA[0.5 days, 31.5 days]

Last updated: Sat, 12 Oct 2019 14:43:43 GMT

Data Views

Y
[ Y |]M


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 |
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Convert units from kg m-2 to

Note on units