data: IRI Analyses ICPAC Models Montreal CanCM4i FORECAST MONTHLY tref

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IRI Analyses ICPAC Models Montreal CanCM4i FORECAST MONTHLY tref: Reference Temperature data

Analyses ICPAC Models Montreal CanCM4i FORECAST MONTHLY Reference Temperature 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
Forecast Start Time (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Dec 2016) to (0000 1 Nov 2021) by 1.0 N= 60 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
datatype: realarraytype
defaultvalue: 742.0
grib_name: TMP
gribPDSpattern: 04XXXX
missing_value: 9.99900026E20
pointwidth: 0
standard_name: air_temperature
units: K
standard units*: degree_Kelvin above 0

References

Kirtman, Ben P., and Coauthors, 2014: The North American Multimodel Ensemble: Phase-1 seasonal-to-interannual prediction; Phase-2 toward developing intraseasonal prediction. Bull. Amer. Meteor. Soc., 95, 585–601. doi: http://dx.doi.org/10.1175/BAMS-D-12-00050.1

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

Data Views

	L	M	S	X	Y
IRI Analyses ICPAC Models Montreal CanCM4i FORECAST MONTHLY tref[ 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