data: mean [ ENACTS version0 dekadal rainfall rfe

mean [ ENACTS version0 dekadal rainfall rfe_mergeddiff climatology ]: Rainfall Anomaly data

dekadal rainfall rfe_mergeddiff rfe_mergeddiff rfe_mergeddiff rfe_mergeddiff Rainfall Anomaly from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.

Independent Variables (Grids)

Time: grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 1960) (11-20 Jan 1960) (21-31 Jan 1960) (1-10 Feb 1960) (11-20 Feb 1960) (21-29 Feb 1960) (1-10 Mar 1960) (11-20 Mar 1960) (21-31 Mar 1960) (1-10 Apr 1960) (11-20 Apr 1960) (21-30 Apr 1960) (1-10 May 1960) (11-20 May 1960) (21-31 May 1960) (1-10 Jun 1960) (11-20 Jun 1960) (21-30 Jun 1960) (1-10 Jul 1960) (11-20 Jul 1960) (21-31 Jul 1960) (1-10 Aug 1960) (11-20 Aug 1960) (21-31 Aug 1960) (1-10 Sep 1960) (11-20 Sep 1960) (21-30 Sep 1960) (1-10 Oct 1960) (11-20 Oct 1960) (21-31 Oct 1960) (1-10 Nov 1960) (11-20 Nov 1960) (21-30 Nov 1960) (1-10 Dec 1960) (11-20 Dec 1960) (21-31 Dec 1960)] :grid

Other Info

bufferwordsize

CE

null

colorscalename

precip_colors

CS

null

datatype

doublearraytype

maxncolor

254

missing_value

NaN

units

standard units*

0.001 meter

history

ENACTS version0 dekadal rainfall rfe_mergeddiff climatology

Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T2[1981, 2357 30 Dec 2022 - 2357 30 Dec 2023] minimum 0.0% data present

mean [ ENACTS version0 dekadal rainfall rfe_mergeddiff climatology ]

Averaged over X[21.855E, 51.455E] 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

	T
mean [ ENACTS version0 dekadal rainfall rfe_mergeddiff climatology ][ T \|]	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 T
Differentiate along T
Take differences along T