data: ECMWF S2S ECCC forecast control land

served from IRI/LDEO Climate Data Library

ECMWF S2S ECCC forecast control land_sfc lsm: Land-Sea Mask data

forecast control land_sfc Land-Sea Mask from ECMWF S2S ECCC: ECCC Ensemble Prediction System.

Independent Variables (Grids)

Lead (forecast_period): grid: /L1 (days) ordered (1.0 days) to (32.0 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 11 Apr 2024) by 7.0 N= 432 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: 04XXXX00010000
missing_value: 9.99900026E20
pointwidth: 0.0
units: unitless
standard units*: unitless

Last updated: Fri, 03 May 2024 07:15:57 GMT

Data Views

	L1	S	X	Y
ECMWF S2S ECCC forecast control land_sfc lsm[ X Y \| L1 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 L1 S
Differentiate along X Y L1 S
Take differences along X Y L1 S