served from maproom.nimet.gov.ng
∂T ∂Y [ NiMet ENACTS ENACTS_v1 ALL Rainfall dekadal precip ] : ∂T ∂Y Merged Station-Satellite Rainfall data
ENACTS_v1 ALL Rainfall dekadal precip precip partial_Y ∂T ∂Y Merged Station-Satellite Rainfall from NiMet ENACTS: Enhancing National Climate Service Initiative.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (16-25 Nov 1982) (26 Nov 1982 - 5 Dec 1982) (6-15 Dec 1982) ... (0000 16 Dec 2001 - 1200 26 Dec 2001)] N= 688 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 (3.99375N) to (14.08125N) by 0.0375 N= 270 pts :grid
Other Info
- datatype
- realarraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 6.6314559621623×10-07 meter radian-1 north second-1
Last updated: Fri, 14 Feb 2025 14:55:22 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub T$ $partialdiff sub Y$ [ NiMet ENACTS ENACTS_v1 ALL Rainfall dekadal precip ] [ X Y | T] | M | 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 X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units