data: root mean sq anom mean [ NOAA NCEP CPC FEWS Africa DAILY ARC2 daily est

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root mean sq anom mean [ NOAA NCEP CPC FEWS Africa DAILY ARC2 daily est_prcp ] : Estimated Precipitation data

root mean sq anom Estimated Precipitation: CPC/Africa Rainfall Climatology 2: Daily Values.

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (40S) to (40N) by 0.1 N= 801 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-999.0

maxncolor

254

missing_value

NaN

pointwidth

1.0

standard_name

lwe_precipitation_rate

units

mm /day

standard units*

1.15740740740741×10^-08 meter second^-1

history

root mean sq anom mean [ NOAA NCEP CPC FEWS Africa DAILY ARC2 daily est_prcp ]

Averaged over T[1200 31 Dec 1982 - 1200 1 Jan 1983, 2400 7 Jun 2026] minimum 0.0% data present
Averaged over X[20W, 55E] minimum 0.0% data present

Last updated: Tue, 15 Aug 2017 14:04:01 GMT
Expires: Tue, 09 Jun 2026 14:35:00 GMT

Data Views

	Y
root mean sq anom mean [ NOAA NCEP CPC FEWS Africa DAILY ARC2 daily est_prcp ] [ Y \|]	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
Differentiate along Y
Take differences along Y