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

served from IRI/LDEO Climate Data Library

∫dY [ ECMWF S2S ECCC forecast control sfc_snow_ice sd ]: Snow Depth Water Equivalent data

forecast control sfc_snow_ice sd 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
forecast start time (forecast_reference_time): grid: /S (days since 1960-01-01) ordered (0000 7 Jan 2016) to (0000 21 Mar 2024) by 7.0 N= 429 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 (90.75N) to (90.75S) by 1.5 N= 122 pts :grid

Other Info

bufferwordsize: 8
datatype: doublearraytype
file_missing_value: 9.99900026E20
gribPDSpattern: 04XXXX000B013C
missing_value: NaN
pointwidth: 0.0
standard_name: surface_snow_amount
units: 0.0174532925199433 kilogram meter^-2 radian north

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

Data Views

	LA	S	X	Y
$integral dY$ [ ECMWF S2S ECCC forecast control sfc_snow_ice sd ][ 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