data: $partialdiff sub S$ $integral dX$ $integral dS$ [ IRI Analyses ICPAC Models Montreal CMC1-CanCM3 HINDCAST MONTHLY tmax ]

served from IRI/LDEO Climate Data Library

∂_S ∫dX ∫dS [ IRI Analyses ICPAC Models Montreal CMC1-CanCM3 HINDCAST MONTHLY tmax ] : ∂_S Maximum Temperature at 2 Meters data

Analyses ICPAC Models Montreal CMC1-CanCM3 HINDCAST MONTHLY tmax int_dS int_dX ∂_S Maximum 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
Ensemble Member (realization): 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 (16 Dec 1980 - 15 Jan 1981) to (16 Nov 2010 - 15 Dec 2010) by 1.0 N= 360 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
Height (height): grid: /Z (m) ordered [ (2.0)] :grid

Other Info

CE: null
center: Montreal (RSMC)
CS: null
datatype: realarraytype
file_missing_value: 9.99900026E20
grib_name: TMAX
gribcenter: 54
gribfield: 1
gribleveltype: 105
gribNumBits: 16
gribparam: 15
missing_value: NaN
PDS_TimeRange: 10
pointwidth: 0
standard_name: air_temperature
units: 0.0174532925199433 degree_Kelvin radian east

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, 13 Feb 2019 20:27:28 GMT

Data Views

	L	M	S	X	Y	Z
$partialdiff sub S$ $integral dX$ $integral dS$ [ IRI Analyses ICPAC Models Montreal CMC1-CanCM3 HINDCAST MONTHLY tmax ] 2.0 m[ X Y \| Z L M S]	M	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