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min [ ∂Y ( ANACIM ENACTS version2 ALL dekadal rainfall rfe ) climatology ]: ∂Y Merged Station-Satellite Rainfall data
version2 ALL dekadal rainfall rfe rfe partial_Y partial_Y ∂Y Merged Station-Satellite Rainfall from ANACIM ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (17.5875W) to (11.2125W) by 0.0375 N= 171 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (12.24375N) to (16.78125N) by 0.03750001 N= 122 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.0572957795130823 meter radian-1 north
- history
- min [ $partialdiff sub Y$ ( ANACIM ENACTS version2 ALL dekadal rainfall rfe ) climatology ]
- Averaged over T2[11 Nov 1982 - 10 Nov 1983, 11 Nov 2000 - 10 Nov 2001] minimum 0.0% data present
min over T[11-20 Nov, 2359 30 Oct - 2359 10 Nov]
- Averaged over T2[11 Nov 1982 - 10 Nov 1983, 11 Nov 2000 - 10 Nov 2001] minimum 0.0% data present
Last updated: Thu, 26 Oct 2023 14:58:08 GMT
Expires: Wed, 01 Nov 2023 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 min [ $partialdiff sub Y$ ( ANACIM ENACTS version2 ALL dekadal rainfall rfe ) climatology ][ X Y |] | 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 Y
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units