data: $integral dS$ [ IRI Analyses ICPAC Models Montreal CanCM4i FORECAST MONTHLY prmsl ]

served from IRI/LDEO Climate Data Library

∫dS [ IRI Analyses ICPAC Models Montreal CanCM4i FORECAST MONTHLY prmsl ]: Pressure Reduced to Mean Sea Level data

Analyses ICPAC Models Montreal CanCM4i FORECAST MONTHLY prmsl Pressure Reduced to Mean Sea Level from IRI: International Research Institute for Climate and Society.

Independent Variables (Grids)

Lead: grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid
M: grid: /M (unitless) ordered (1.0) to (10.0) by 1.0 N= 10 pts :grid
S (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 16 Nov 2016) to (0000 16 Nov 2021) by 1.0 N= 61 pts :grid
longitude (longitude): grid: /X (degree_east) periodic (0) to (1W) by 1.0 N= 360 pts :grid
latitude (latitude): grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
defaultvalue: 742.0
file_missing_value: 9.99900026E20
grib_name: PRMSL
gribPDSpattern: 04XXXX
missing_value: NaN
pointwidth: 0
standard_name: air_pressure_at_sea_level
units: 0.0833333333333333 kilogram meter^-1 second^-2 year

References

Kirtman_etal2014

Last updated: Wed, 08 Dec 2021 17:48:17 GMT

Data Views

	L	M	S	X	Y
$integral dS$ [ IRI Analyses ICPAC Models Montreal CanCM4i FORECAST MONTHLY prmsl ][ X Y \| L M S]	M	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 M S
Differentiate along X Y L M S
Take differences along X Y L M S