data: mean root mean sq $integral dT$ $integral dY$ [ ENACTS version0 daily rainfall0p25 rfe ]

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mean root mean sq ∫dT ∫dY [ ENACTS version0 daily rainfall0p25 rfe ] : precipitation data

daily rainfall0p25 rfe int_dY int_dT int_dT precipitation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.

Independent Variables (Grids)

Longitude: grid: /X (degree_east) ordered (20.975E) to (52.025E) by 0.2504032 N= 125 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

prcp_dailyrate_max100_smooth

CS

null

datatype

doublearraytype

file_missing_value

-9999.0

maxncolor

254

missing_value

NaN

pointwidth

1.0

standard_name

lwe_precipitation_rate

units

1.74532925199433×10^-05 meter radian north

history

$integral dT$ $integral dY$ [ ENACTS version0 daily rainfall0p25 rfe ]

X regridded on ENACTS version0 daily rainfall rfe
Y regridded on ENACTS version0 daily rainfall rfe

root mean sq $integral dT$ $integral dY$ [ ENACTS version0 daily rainfall0p25 rfe ]

Averaged over Y[12.14674S, 22.3511N] minimum 0.0% data present

mean root mean sq $integral dT$ $integral dY$ [ ENACTS version0 daily rainfall0p25 rfe ]

Averaged over T[0000 1 Jan 1981, 2400 31 Dec 2020] minimum 0.0% data present

Last updated: Mon, 22 Feb 2021 09:33:15 GMT

Data Views

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mean root mean sq $integral dT$ $integral dY$ [ ENACTS version0 daily rainfall0p25 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