data: mean $integral dT$ [ NiMet ENACTS ENACTS_v1 MON Rainfall dekadal precipdiff ]

mean ∫dT [ NiMet ENACTS ENACTS_v1 MON Rainfall dekadal precipdiff ] : Reconstructed Rainfall Anomaly data

ENACTS_v1 MON Rainfall dekadal precipdiff int_dT Reconstructed Rainfall Anomaly from NiMet ENACTS: Enhancing National Climate Service Initiative.

Independent Variables (Grids)

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

mean $integral dT$ [ NiMet ENACTS ENACTS_v1 MON Rainfall dekadal precipdiff ]

Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over X[2.38125E, 14.94375E] T[0000 1 Jan 1981, 2400 20 Nov 2025] minimum 0.0% data present

Last updated: Fri, 21 Nov 2025 22:30:18 GMT
Expires: Mon, 01 Dec 2025 00:00:00 GMT

Data Views

	Y
mean $integral dT$ [ NiMet ENACTS ENACTS_v1 MON Rainfall dekadal precipdiff ] [ 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