data: IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY orig tmax

served from IRI/LDEO Climate Data Library

IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY orig tmax: Maximum Temperature data

tmax Maximum Temperature from IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY orig: original entry.

Independent Variables (Grids)

Lead (forecast_period): grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 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 Dec 2011) to (0000 1 Nov 2015) by 1.0 N= 48 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 (89.5S) to (89.5N) by 1.0 N= 180 pts :grid

Other Info

bufferwordsize: 4
center: Montreal (RSMC)
datatype: realarraytype
file_missing_value: 9.99900026E20
grib_name: TMAX
gribcenter: 54
gribfield: 1
gribleveltype: 119
gribNumBits: 16
gribparam: 15
missing_value: NaN
PDS_TimeRange: 2
pointwidth: 0
standard_name: air_temperature
units: degree_Celsius
standard units*: degree_Kelvin

References

Kirtman_etal2014

Last updated: Tue, 08 Dec 2020 21:56:07 GMT

Data Views

	L	M	S	X	Y
IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY orig tmax[ 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