data: root mean sq [ ENACTS version0 dekadal rainfall rfe

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

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

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (21.855E) to (51.455E) by 0.05 N= 593 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (11.75S) to (23.1N) by 0.05 N= 698 pts :grid

Other Info

CE

null

colorscalename

precip_colors

CS

null

datatype

realarraytype

maxncolor

254

missing_value

NaN

units

standard units*

0.001 meter

history

root mean sq [ ENACTS version0 dekadal rainfall rfe_mergeddiff ]

Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T[6-15 Jan 1981, 2400 25 Sep 2024] 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

	X	Y
grid: /X (degree_east) ordered (21.855E) to (51.455E) by 0.05 N= 593 pts :grid	M
grid: /Y (degree_north) ordered (11.75S) to (23.1N) by 0.05 N= 698 pts :grid		M
root mean sq [ ENACTS version0 dekadal rainfall rfe_mergeddiff ][ X Y \|]	M	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 X Y
Differentiate along X Y
Take differences along X Y

Average over X Y | X Y |
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |

Note on units