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∫dY [ NiMet ENACTS ENACTS_v1 MON Rainfall dekadal precip_vs_meanprecip ]: Reconstructed Rainfall Expressed as Percentages of the Long-Term Average data
ENACTS_v1 MON Rainfall dekadal precip_vs_meanprecip precip_vs_meanprecip Reconstructed Rainfall Expressed as Percentages of the Long-Term Average from NiMet ENACTS: Enhancing National Climate Service Initiative.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 1981) (11-20 Jan 1981) (21-31 Jan 1981) ... (11-20 Nov 2025)] N= 1616 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 (3.975N) to (14.1N) by 0.0375 N= 271 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 300
- colorscalename
- rfepercent_colors
- CS
- 0
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- units
- degree_north
- standard units*
- 0.0174532925199433 radian north
- history
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
- colorscale
Last updated: Fri, 21 Nov 2025 22:30:18 GMT
Expires: Mon, 01 Dec 2025 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
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