data: root mean sq [ $integral dT$ ( NiMet ENACTS ENACTS_v1 MON Rainfall dekadal precip ) climatology ]

root mean sq [ ∫dT ( NiMet ENACTS ENACTS_v1 MON Rainfall dekadal precip ) climatology ]: Merged Station-Satellite Rainfall data

ENACTS_v1 MON Rainfall dekadal precip int_dT int_dT Merged Station-Satellite Rainfall from NiMet ENACTS: Enhancing National Climate Service Initiative.

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (2.4E) to (14.925E) by 0.03750001 N= 335 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (3.975N) to (14.1N) by 0.0375 N= 271 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-99.0

maxncolor

254

missing_value

NaN

units

86.4 meter second

history

root mean sq [ $integral dT$ ( NiMet ENACTS ENACTS_v1 MON Rainfall dekadal precip ) climatology ]

Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2023 - 25 Dec 2024] minimum 0.0% data present
Averaged over T[0000 1 Jan, 2359 20 Dec] minimum 0.0% data present

Last updated: Mon, 01 Dec 2025 12:04:05 GMT
Expires: Thu, 11 Dec 2025 00:00:00 GMT

Data Views

	X	Y
root mean sq [ $integral dT$ ( NiMet ENACTS ENACTS_v1 MON Rainfall dekadal precip ) climatology ][ 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