data: detrended-bfl [ Models NMME COLA-RSMAS-CCSM3 MONTHLY tref ]

served from IRI/LDEO Climate Data Library

detrended-bfl [ Models NMME COLA-RSMAS-CCSM3 MONTHLY tref ]: Reference Temperature data

COLA-RSMAS-CCSM3 MONTHLY tref Reference Temperature from Models NMME: North American Multi-Model Ensemble (NMME).

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 (6.0) by 1.0 N= 6 pts :grid
Forecast Start Time (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Jan 1982) to (0000 1 Dec 2018) by 1.0 N= 444 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
Height (height): grid: /Z (m) ordered [ (2.0)] :grid

Other Info

bufferwordsize: 8
CE: null
cell_method: time: mean
CS: null
datatype: doublearraytype
file_missing_value: 9.96920997E36
lat: 88.927734
lon: 358.59375
missing_value: NaN
pointwidth: 0
standard_name: air_temperature
units: degree_Celsius
standard units*: degree_Kelvin

References

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

Data Views

	L	M	S	X	Y	Z
detrended-bfl [ Models NMME COLA-RSMAS-CCSM3 MONTHLY tref ] 2.0 m[ X Y \| Z M L 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 M L S
Differentiate along X Y M L S
Take differences along X Y M L S