served from maproom.nimet.gov.ng
∫dT ∂X ∫dY [ NiMet ENACTS ENACTS_v1 ALL Temperature monthly tmin ] : ∂X Minimum Temperature data
ENACTS_v1 ALL Temperature monthly tmin int_dY partial_X ∂X Minimum Temperature from NiMet ENACTS: Enhancing National Climate Service Initiative.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1981) to (0000 1 Jan 2025) by 1.0 N= 529 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (2.41875E) to (14.90625E) by 0.03750001 N= 334 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
- missing_value
- NaN
- units
- 0.0833333333333333 degree_Kelvin year
- history
- Boxes with less than 100.0% dropped
Last updated: Mon, 17 Feb 2025 14:29:37 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $integral dT$ $partialdiff sub X$ $integral dY$ [ NiMet ENACTS ENACTS_v1 ALL Temperature monthly tmin ] [ 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