data: $partialdiff sub M$ [ IRI Analyses ICPAC Models Montreal GEM-NEMO FORECAST MONTHLY tmax ]

served from IRI/LDEO Climate Data Library

∂_M [ IRI Analyses ICPAC Models Montreal GEM-NEMO FORECAST MONTHLY tmax ]: ∂_M Maximum Temperature data

Analyses ICPAC Models Montreal GEM-NEMO FORECAST MONTHLY tmax ∂_M Maximum 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 (realization): grid: /M (unitless) ordered (1.5) to (9.5) by 1.0 N= 9 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
file_missing_value: 9.99900026E20
grib_name: TMAX
gribPDSpattern: 04XXXX
missing_value: NaN
pointwidth: 0
standard_name: air_temperature
units: degree_Celsius
standard units*: degree_Kelvin

References

Kirtman_etal2014

Last updated: Wed, 08 Dec 2021 17:47:44 GMT

Data Views

	L	M	S	X	Y
$partialdiff sub M$ [ IRI Analyses ICPAC Models Montreal GEM-NEMO FORECAST MONTHLY 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

∂M [ IRI Analyses ICPAC Models Montreal GEM-NEMO FORECAST MONTHLY tmax ]: ∂M Maximum Temperature data