data: $integral dX$ $partialdiff sub X$ root mean sq $partialdiff sub Y$ [ UEA CRU TS3p21 monthly pet ]

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∫dX ∂_X root mean sq ∂_Y [ UEA CRU TS3p21 monthly pet ] : ∂_X ∂_Y potential evapotranspiration data

∫dX ∂_X root mean sq ∂_Y [ UEA CRU TS3p21 monthly pet ] .

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (179.75E) to (179.75E) by 0.5 N= 721 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (89.5S) to (89.5N) by 0.5 N= 359 pts :grid

Other Info

bufferwordsize

CE

null

correlation_decay_distance

-999.0

CS

null

datatype

doublearraytype

file_missing_value

9.96920997E36

missing_value

NaN

pointwidth

standard_name

water_potential_evaporation_flux

units

6.63145596216231×10^-07 meter radian^-1 east second^-1

history

$integral dX$ $partialdiff sub X$ root mean sq $partialdiff sub Y$ [ UEA CRU TS3p21 monthly pet ]

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

References

Harris_etal2013

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

Data Views

	X	Y
$integral dX$ $partialdiff sub X$ root mean sq $partialdiff sub Y$ [ UEA CRU TS3p21 monthly pet ] [ X Y \|]	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
Differentiate along X Y
Take differences along X Y

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

Note on units