data: root mean sq mean $integral dX$ [ ICPAC CHIRP-BLENDED dekadal rainfall precipitation ]

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root mean sq mean ∫dX [ ICPAC CHIRP-BLENDED dekadal rainfall precipitation ] : Precipitation data

precipitation int_dX int_dX Precipitation from ICPAC CHIRP-BLENDED dekadal rainfall: a first example to read.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (21.83E) to (51.48E) by 0.05 N= 594 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

precip_colors

CS

null

datatype

doublearraytype

maxncolor

254

missing_value

NaN

units

0.135325123816104 amper^e-1 meter radian east second^-1

history

root mean sq mean $integral dX$ [ ICPAC CHIRP-BLENDED dekadal rainfall precipitation ]

Averaged over Y[11.8S, 23.15N] minimum 0.0% data present
Averaged over T[1-10 Jan 1981, 1344 31 May 2017] minimum 0.0% data present

Last updated: Fri, 27 Nov 2020 06:07:42 GMT

Data Views

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root mean sq mean $integral dX$ [ ICPAC CHIRP-BLENDED dekadal rainfall precipitation ] [ 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