data: $partialdiff sub T$ $partialdiff sub Y$ root mean sq [ UEA CRU TS3p21 monthly dtr climatology ]

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∂_T ∂_Y root mean sq [ UEA CRU TS3p21 monthly dtr climatology ] : ∂_T ∂_Y diurnal temperature range data

∂_T ∂_Y root mean sq [ UEA CRU TS3p21 monthly dtr climatology ] .

Independent Variables (Grids)

Time (time): grid: /T (months since 01-Jan) periodic (16 Dec - 15 Jan) to (16 Nov - 15 Dec) by 1.0 N= 12 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 0.5 N= 359 pts :grid

Other Info

CE

null

correlation_decay_distance

750.0

CS

null

datatype

realarraytype

file_missing_value

9.96920997E36

missing_value

NaN

pointwidth

units

687.549354156988 degree_Kelvin radian^-1 north year^-1

history

UEA CRU TS3p21 monthly dtr climatology

Wed 10 Jul 2013 18:28:10 BST : User ianharris : Program makegridsauto.for called by update.for
Averaged over T2[1901, 2012] minimum 0.0% data present

$partialdiff sub T$ $partialdiff sub Y$ root mean sq [ UEA CRU TS3p21 monthly dtr climatology ]

Averaged over X[180W, 180] minimum 0.0% data present

References

Harris_etal2013

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

Data Views

	T	Y
$partialdiff sub T$ $partialdiff sub Y$ root mean sq [ UEA CRU TS3p21 monthly dtr climatology ] [ Y T \|]	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 Y T
Differentiate along Y T
Take differences along Y T

Average over Y T | Y T |
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |

Note on units