served from maproom.nimet.gov.ng
min ∂T [ NiMet ENACTS ENACTS_v1 ALL Rainfall monthly precip anomalies ] : ∂T Rainfall Amount data
ENACTS_v1 ALL Rainfall monthly precip precip partial_T ∂T Rainfall Amount from NiMet ENACTS: Enhancing National Climate Service Initiative.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (16 Jan 1981 - 15 Feb 1981) to (16 Nov 2024 - 15 Dec 2024) by 1.0 N= 527 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.975N) to (14.1N) by 0.0375 N= 271 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- mm /month
- standard units*
- 0.012 meter year-1
- history
- NiMet ENACTS ENACTS_v1 ALL Rainfall monthly precip
Boxes with less than 0.0% dropped
- NiMet ENACTS ENACTS_v1 ALL Rainfall monthly precip climatology
- Boxes with less than 0.0% dropped
Averaged over T2[1981, 2024] minimum 0.0% data present
- Boxes with less than 0.0% dropped
- min over X[2.4E, 14.925E]
- NiMet ENACTS ENACTS_v1 ALL Rainfall monthly precip
Last updated: Fri, 14 Feb 2025 14:55:22 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 min $partialdiff sub T$ [ NiMet ENACTS ENACTS_v1 ALL Rainfall monthly precip anomalies ] [ Y | T] | M | M |
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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 T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units