data: ECMWF S2S CMA BCC-CPS-S2Sv1 reforecast control sfc

served from IRI/LDEO Climate Data Library

ECMWF S2S CMA BCC-CPS-S2Sv1 reforecast control sfc_pressure msl: Mean Sea Level Pressure data

sfc_pressure Mean Sea Level Pressure from ECMWF S2S CMA BCC-CPS-S2Sv1 reforecast control: Beijing Climate Center (BCC) Climate Prediction System version 1 for S2S.

Independent Variables (Grids)

Lead (forecast_period): grid: /L (days) ordered (0.0 days) to (60.0 days) by 1.0 N= 61 pts :grid
forecast start time (forecast_reference_time): grid: /S (days since 1960-01-01) ordered (0000 10 Jan 1994) to (0000 31 Dec 2014) by 1.0 N= 7661 pts :grid
longitude (longitude): grid: /X (degree_east) periodic (0) to (1.5W) by 2.506993 N= 144 pts :grid
latitude (latitude): grid: /Y (degree_north) ordered (90N) to (90S) by 2.5 N= 73 pts :grid

Other Info

bufferwordsize: 4
datatype: realarraytype
gribPDSpattern: 04XXXX003C0300XXXXXXXXXXXXXXXXXXXXXX65
missing_value: 9.99900026E20
pointwidth: 0.0
standard_name: air_pressure_at_sea_level
units: Pa
standard units*: kilogram meter^-1 second^-2

Last updated: Fri, 10 Nov 2023 19:23:03 GMT

Data Views

	L	S	X	Y
ECMWF S2S CMA BCC-CPS-S2Sv1 reforecast control sfc_pressure msl[ X Y \| L 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 L S
Differentiate along X Y L S
Take differences along X Y L S