data: root mean sq mean $partialdiff sub T$ [ UEA CRU TS3p21 monthly tmp ]

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root mean sq mean ∂_T [ UEA CRU TS3p21 monthly tmp ] : ∂_T near-surface temperature data

root mean sq mean ∂_T [ UEA CRU TS3p21 monthly tmp ] .

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) periodic (179.75W) to (179.75E) by 0.5 N= 720 pts :grid

Other Info

bufferwordsize

CE

null

correlation_decay_distance

1200.0

CS

null

datatype

doublearraytype

file_missing_value

9.96920997E36

missing_value

NaN

pointwidth

standard_name

air_temperature

units

12 degree_Kelvin year^-1

history

mean $partialdiff sub T$ [ UEA CRU TS3p21 monthly tmp ]

Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over Y[90S, 90N] minimum 0.0% data present

root mean sq mean $partialdiff sub T$ [ UEA CRU TS3p21 monthly tmp ]

Averaged over T[16 Jan 1901 - 15 Feb 1901, 16 Nov 2012 - 15 Dec 2012] minimum 0.0% data present

References

Harris_etal2013

Last updated: Fri, 26 Jul 2024 12:21:16 GMT

Data Views

	X
root mean sq mean $partialdiff sub T$ [ UEA CRU TS3p21 monthly tmp ] [ X \|]	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
Differentiate along X
Take differences along X