served from maproom.nimet.gov.ng
min ∂T [ NiMet ENACTS ENACTS_v1 ALL Temperature monthly tmean anomalies ] : ∂T Mean Temperature data
ENACTS_v1 ALL Temperature monthly tmean tmean partial_T ∂T Mean Temperature 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
- missing_value
- NaN
- units
- 12 degree_Kelvin year-1
- history
- NiMet ENACTS ENACTS_v1 ALL Temperature monthly tmean
Boxes with less than 100.0% dropped
- NiMet ENACTS ENACTS_v1 ALL Temperature monthly tmean climatology
- Boxes with less than 100.0% dropped
Averaged over T2[1981, 2024] minimum 0.0% data present
- Boxes with less than 100.0% dropped
- min over X[2.4E, 14.925E]
- NiMet ENACTS ENACTS_v1 ALL Temperature monthly tmean
Last updated: Mon, 17 Feb 2025 14:29:37 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 min $partialdiff sub T$ [ NiMet ENACTS ENACTS_v1 ALL Temperature monthly tmean 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