data: $integral dL$ [ ECMWF S2S JMA forecast control sfc

served from IRI/LDEO Climate Data Library

∫dL [ ECMWF S2S JMA forecast control sfc_pressure msl ]: Mean Sea Level Pressure data

forecast control sfc_pressure msl Mean Sea Level Pressure from ECMWF S2S JMA: JMA Ensemble System.

Independent Variables (Grids)

L (forecast_period): grid: /L (days) ordered (0.0 days) to (33.0 days) by 1.0 N= 34 pts :grid
forecast start time (forecast_reference_time): grid: /S (days since 1960-01-01) ordered (1200 5 Jan 2016) to (1200 4 Apr 2024) by 1.0 N= 3013 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: 04XXXX00010300XXXXXXXXXXXXXXXXXXXXXX65
missing_value: NaN
pointwidth: 0.0
standard_name: air_pressure_at_sea_level
units: 86400 kilogram meter^-1 second^-1

Last updated: Fri, 26 Apr 2024 07:25:21 GMT

Data Views

	L	S	X	Y
$integral dL$ [ ECMWF S2S JMA forecast 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