data: mean $integral dX$ [ ENACTS version0 dekadal climatologies rfe

mean ∫dX [ ENACTS version0 dekadal climatologies rfe_stddev anomalies ] : Dekadal rainfall 1981-2010 standard deviation data

dekadal climatologies rfe_stddev rfe_stddev int_dX Dekadal rainfall 1981-2010 standard deviation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.

Independent Variables (Grids)

Latitude (latitude): grid: /Y (degree_north) ordered (11.775S) to (23.125N) by 0.05 N= 699 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

cmorph_dekad_colors

CS

null

datatype

doublearraytype

maxncolor

254

missing_value

NaN

units

1.74532925199433×10^-05 meter radian east

history

ENACTS version0 dekadal climatologies rfe_stddev
Averaged over T2[18.5, 1062.5] minimum 0.0% data present

ENACTS version0 dekadal climatologies rfe_stddev climatology

Averaged over T2[18.5, 1062.5] minimum 0.0% data present
Averaged over T2=1981 minimum 0.0% data present

mean $integral dX$ [ ENACTS version0 dekadal climatologies rfe_stddev anomalies ]

Averaged over X[21.83E, 51.48E] T[1200-2000 5 Jan 1981, 1600 30 Dec 1981] 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

	Y
mean $integral dX$ [ ENACTS version0 dekadal climatologies rfe_stddev anomalies ] [ 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