served from maproom.nimet.gov.ng
mean [ NiMet ENACTS ENACTS_v1 ALL Rainfall dekadal c9120 precip_stddev ]: Merged Station-Satellite Rainfall Climatology standard deviation 1991-2020 data
ENACTS_v1 ALL Rainfall dekadal c9120 precip_stddev Merged Station-Satellite Rainfall Climatology standard deviation 1991-2020 from NiMet ENACTS: Enhancing National Climate Service Initiative.Independent Variables (Grids)
- Time
- grid: /T (days since 1991-01-01) (365) periodic [ (1-10 Jan) (11-20 Jan) (21-31 Jan) (1-10 Feb) (11-20 Feb) (21-28 Feb) (1-10 Mar) (11-20 Mar) (21-31 Mar) (1-10 Apr) (11-20 Apr) (21-30 Apr) (1-10 May) (11-20 May) (21-31 May) (1-10 Jun) (11-20 Jun) (21-30 Jun) (1-10 Jul) (11-20 Jul) (21-31 Jul) (1-10 Aug) (11-20 Aug) (21-31 Aug) (1-10 Sep) (11-20 Sep) (21-30 Sep) (1-10 Oct) (11-20 Oct) (21-31 Oct) (1-10 Nov) (11-20 Nov) (21-30 Nov) (1-10 Dec) (11-20 Dec) (21-31 Dec)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (2.4E) to (14.925E) by 0.03750001 N= 335 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- mm
- standard units*
- 0.001 meter
- history
- root mean sq anom [ NiMet ENACTS ENACTS_v1 ALL Rainfall dekadal precip ]
Averaged over T2[18.5, 1062.5] minimum 0.0% data present
- sqrt [ total dataflag ( NiMet ENACTS ENACTS_v1 ALL Rainfall dekadal precip ) / ( total dataflag { NiMet ENACTS ENACTS_v1 ALL Rainfall dekadal precip } - 1. ) ]
Averaged over T2[0.5, 1080.5]
- Averaged over Y[3.95625N, 14.11875N] minimum 0.0% data present
- root mean sq anom [ NiMet ENACTS ENACTS_v1 ALL Rainfall dekadal precip ]
Last updated: Fri, 14 Feb 2025 14:55:22 GMT
Data Views
Views
data as colors
data as contours
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 T
- Differentiate along X T
- Take differences along X T
RMS (root mean square with mean *not* removed) over X T | X T |
RMSA (root mean square with mean removed) over X T | X T |
Maximum over X T | X T |
Minimum over X T | X T |
Detrend (best-fit-line) over X T | X T |
Note on units