data: mean root mean sq anom $integral dT$ $integral dY$ [ ENACTS version0 dekadal rainfall rfe ]

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mean root mean sq anom ∫dT ∫dY [ ENACTS version0 dekadal rainfall rfe ] : Precipitation data

dekadal rainfall rfe int_dY int_dT int_dT Precipitation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (21.855E) to (51.455E) by 0.05 N= 593 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

precip_colors

CS

null

datatype

doublearraytype

maxncolor

254

missing_value

NaN

units

1.5079644737231 meter radian north second

history

mean root mean sq anom $integral dT$ $integral dY$ [ ENACTS version0 dekadal rainfall rfe ]

Averaged over T[0000 1 Jan 1981, 0000 1 Oct 2024] minimum 0.0% data present
Averaged over Y[11.8S, 23.15N] minimum 0.0% data present

Last updated: Mon, 28 Oct 2024 09:31:03 GMT
Expires: Fri, 11 Oct 2024 00:00:00 GMT

Data Views

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mean root mean sq anom $integral dT$ $integral dY$ [ ENACTS version0 dekadal rainfall rfe ] [ 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