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

∫dY [ ∫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)

Time: grid: /T (months since 1960-01-01) periodic (0000 1 Jan) to (2359 20 Dec) by 0.333333 N= 36 pts :grid
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 (3.95625N) to (14.11875N) by 0.0375 N= 272 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -99.0
maxncolor: 254
missing_value: NaN
units: 1.5079644737231 meter radian north second
history: Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2023 - 25 Dec 2024] 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

	T	X	Y
$integral dY$ [ $integral dT$ ( NiMet ENACTS ENACTS_v1 MON Rainfall dekadal precip ) climatology ][ X Y T \|]	M	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 T
Differentiate along X Y T
Take differences along X Y T