data: root mean sq [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe

root mean sq [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ]: Rainfall data Expressed as Percentages of the Long-Term Average data

dekadal rainfall rfe_merged_vs_meanrfe_merged Rainfall data Expressed as Percentages of the Long-Term Average 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

precip_colors

CS

null

datatype

doublearraytype

maxncolor

254

units

percent

standard units*

0.01

history

root mean sq [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ]

Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over X[21.83E, 51.48E] T[1-10 Jan 1981, 0144 1 Oct 2024]

Last updated: Mon, 28 Oct 2024 09:31:03 GMT
Expires: Fri, 11 Oct 2024 00:00:00 GMT

Data Views

	Y
root mean sq [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ][ 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