data: $integral dS$ [ ECMWF S2S ECCC forecast control sfc_snow

served from IRI/LDEO Climate Data Library

∫dS [ ECMWF S2S ECCC forecast control sfc_snow_ice rsn ]: Snow Density data

forecast control sfc_snow_ice rsn Snow Density 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
S (forecast_reference_time): grid: /S (days since 1960-01-01) ordered (1200 3 Jan 2016) to (1200 24 Mar 2024) by 7.0 N= 430 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: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: 9.99900026E20
gribPDSpattern: 04XXXX000B013D
missing_value: NaN
pointwidth: 0.0
standard_name: snow_density
units: 86400 kilogram meter^-3 second

Last updated: Fri, 12 Apr 2024 07:17:20 GMT

Data Views

	LA	S	X	Y
$integral dS$ [ ECMWF S2S ECCC forecast control sfc_snow_ice rsn ][ X Y \| LA S]	M	M	M	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.

Monthly Climatology calculates a monthly climatology by averaging over all years.
anomalies calculates the difference between the (above) monthly climatology and the original data.
Integrate along X Y LA S
Differentiate along X Y LA S
Take differences along X Y LA S