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max ∂T [ NiMet ENACTS ENACTS_v1 MON Rainfall dekadal precipdiff_percent ] : ∂T Rainfall Difference Expressed as Percent of Long-Term Average (%) data
ENACTS_v1 MON Rainfall dekadal precipdiff_percent partial_T ∂T Rainfall Difference Expressed as Percent of Long-Term Average (%) from NiMet ENACTS: Enhancing National Climate Service Initiative.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (6-15 Jan 1981) (0000 16 Jan 1981 - 1200 26 Jan 1981) (1200 26 Jan 1981 - 2400 5 Feb 1981) ... (6-15 Nov 2025)] N= 1615 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (2.4E) to (14.925E) by 0.03750001 N= 335 pts :grid
Other Info
- CE
- 400
- CS
- -100
- datatype
- realarraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- units
- 1.15740740740741×10-05 second-1
- history
- max $partialdiff sub T$ [ NiMet ENACTS ENACTS_v1 MON Rainfall dekadal precipdiff_percent ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
max over Y[3.975N, 14.1N]
- 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| T | X | |
 max $partialdiff sub T$ [ NiMet ENACTS ENACTS_v1 MON Rainfall dekadal precipdiff_percent ] [ X | 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 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