data: IRI Analyses SCIPSA NASA-GEOSS2S hindcast mc temp

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IRI Analyses SCIPSA NASA-GEOSS2S hindcast mc temp: Near-Surface Temperature data

Analyses SCIPSA NASA-GEOSS2S hindcast mc Near-Surface Temperature from IRI: International Research Institute for Climate and Society.

Independent Variables (Grids)

Lead (forecast_period): grid: /L (months) ordered (0.5 months) to (8.5 months) by 1.0 N= 9 pts :grid
Forecast Start Time (forecast_reference_time): grid: /S (months since 01-Jan) periodic (0000 1 Jan) to (0000 1 Dec) by 1.0 N= 12 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

datatype: realarraytype
file_missing_value: 9.99999987E14
fmissing_value: 9.99999987E14
missing_value: NaN
pointwidth: 0
standard_name: air_temperature
units: Celsius_scale
vmax: 9.99999987E14
vmin: -9.99999987E14
standard units*: degree_Kelvin above 273.15
history: [(Averaged over M[0.5, 4.5] minimum 0.0% data present) (Averaged over S2[16 Dec 1981 - 15 Dec 1982, 16 Dec 2009 - 15 Dec 2010] minimum 0.0% data present)]

Last updated: Fri, 07 May 2021 20:59:33 GMT

Data Views

	L	S	X	Y
IRI Analyses SCIPSA NASA-GEOSS2S hindcast mc temp[ X Y L \| S]	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 S
Differentiate along X Y L S
Take differences along X Y L S