data: mean max $integral dY$ [ ENACTS version0 dekadal climatologies rfe ]

mean max ∫dY [ ENACTS version0 dekadal climatologies rfe ] : Dekadal rainfall climatology 1981-2010 average data

dekadal climatologies rfe int_dY max Dekadal rainfall climatology 1981-2010 average from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.

Independent Variables (Grids)

Time: grid: /T (days since 1981-01-01) (365) periodic [ (1-10 Jan) (11-20 Jan) (21-31 Jan) (1-10 Feb) (11-20 Feb) (21-28 Feb) (1-10 Mar) (11-20 Mar) (21-31 Mar) (1-10 Apr) (11-20 Apr) (21-30 Apr) (1-10 May) (11-20 May) (21-31 May) (1-10 Jun) (11-20 Jun) (21-30 Jun) (1-10 Jul) (11-20 Jul) (21-31 Jul) (1-10 Aug) (11-20 Aug) (21-31 Aug) (1-10 Sep) (11-20 Sep) (21-30 Sep) (1-10 Oct) (11-20 Oct) (21-31 Oct) (1-10 Nov) (11-20 Nov) (21-30 Nov) (1-10 Dec) (11-20 Dec) (21-31 Dec)] :grid

Other Info

bufferwordsize

CE

null

colorscalename

precip_colors

CS

null

datatype

doublearraytype

maxncolor

254

missing_value

NaN

units

1.74532925199433×10^-05 meter radian north

history

max $integral dY$ [ ENACTS version0 dekadal climatologies rfe ]

Averaged over T2[0.5, 1080.5] minimum 0.0% data present
max over X[21.855E, 51.455E]

mean max $integral dY$ [ ENACTS version0 dekadal climatologies rfe ]

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

	T
mean max $integral dY$ [ ENACTS version0 dekadal climatologies rfe ] [ \| 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