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∫dX [ NiMet ENACTS ENACTS_v1 MON Rainfall monthly c9120 precip ]: Merged Station-Satellite Rainfall Climatology 1991-2020 data
ENACTS_v1 MON Rainfall monthly c9120 precip Merged Station-Satellite Rainfall Climatology 1991-2020 from NiMet ENACTS: Enhancing National Climate Service Initiative.Independent Variables (Grids)
- Time
- grid: /T (months since 01-Jan) periodic (Jan) to (Dec) by 1.0 N= 12 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (2.38125E) to (14.94375E) by 0.0375 N= 336 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
- 0
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.74532925199433×10-05 meter radian east
- history
- $integral dX$ [ NiMet ENACTS ENACTS_v1 MON Rainfall monthly c9120 precip ]
- Boxes with less than 0.0% dropped
Averaged over T2[1991, 2020] 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
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