data: IRI Analyses ICPAC Models Montreal CMC2-CanCM4 HINDCAST MONTHLY prmsl

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IRI Analyses ICPAC Models Montreal CMC2-CanCM4 HINDCAST MONTHLY prmsl: Pressure Reduced to Mean Sea Level data

Analyses ICPAC Models Montreal CMC2-CanCM4 HINDCAST MONTHLY prmsl Pressure Reduced to Mean Sea Level from IRI: International Research Institute for Climate and Society.

Independent Variables (Grids)

L (forecast_period): grid: /L (months) ordered (1.0 months) to (11.0 months) by 1.0 N= 11 pts :grid
Ensemble Member (realization): grid: /M (unitless) ordered (1.0) to (10.0) by 1.0 N= 10 pts :grid
Forecast Start Time (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Jan 1981) to (0000 1 Dec 2010) by 1.0 N= 360 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: 4
center: Montreal (RSMC)
datatype: realarraytype
file_missing_value: 9.99900026E20
grib_name: PRMSL
gribcenter: 54
gribfield: 1
gribleveltype: 102
gribNumBits: 16
gribparam: 2
missing_value: NaN
PDS_TimeRange: 10
pointwidth: 0
standard_name: air_pressure_at_sea_level
units: Pa
standard units*: kilogram meter^-1 second^-2

References

Kirtman_etal2014

Last updated: Mon, 22 Oct 2018 19:53:16 GMT

Data Views

	L	M	S	X	Y
IRI Analyses ICPAC Models Montreal CMC2-CanCM4 HINDCAST 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