data: $integral dX$ $integral dM$ [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tref ]

served from IRI/LDEO Climate Data Library

∫dX ∫dM [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tref ] : Reference Temperature at 2 Meters data

Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY tref int_dM Reference Temperature at 2 Meters from IRI: International Research Institute for Climate and Society.

Independent Variables (Grids)

Lead (forecast_period): grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid
M (realization): grid: /M (unitless) ordered (0.5) to (10.5) by 1.0 N= 11 pts :grid
S: grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2011) to (0000 1 Jul 2019) by 1.0 N= 103 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (0.5W) to (0.5W) by 1.0 N= 361 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
center: Montreal (RSMC)
CS: null
datatype: doublearraytype
file_missing_value: 9.99900026E20
grib_name: TMP
gribcenter: 54
gribfield: 1
gribleveltype: 105
gribNumBits: 16
gribparam: 11
missing_value: NaN
PDS_TimeRange: 10
pointwidth: 0
standard_name: air_temperature
units: 0.0174532925199433 ( degree_Kelvin above 0 ) radian east
history: S: 0000 1 Dec 2015 to 0000 1 Jul 2019 appended from Models NMME Cansips FORECAST MONTHLY tref

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: Tue, 08 Dec 2020 21:54:43 GMT

Data Views

	L	M	S	X	Y
$integral dX$ $integral dM$ [ IRI Analyses ICPAC Models Montreal CMC2-CanCM4 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