served from maproom.nimet.gov.ng
root mean sq ∂T [ NiMet ENACTS ENACTS_v1 ALL Rainfall monthly precip ] : ∂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 1982 - 15 Feb 1982) to (16 Nov 2001 - 15 Dec 2001) by 1.0 N= 239 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.975N) to (14.1N) by 0.0375 N= 271 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- mm /month
- standard units*
- 0.012 meter year-1
- history
- root mean sq $partialdiff sub T$ [ NiMet ENACTS ENACTS_v1 ALL Rainfall monthly precip ]
- Boxes with less than 0.0% dropped
Averaged over X[2.38125E, 14.94375E] minimum 0.0% data present
- Boxes with less than 0.0% dropped
Last updated: Fri, 14 Feb 2025 14:55:22 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 root mean sq $partialdiff sub T$ [ NiMet ENACTS ENACTS_v1 ALL Rainfall monthly precip ] [ Y | T] | M | 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 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