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min ∂T ∫dY [ ANACIM ENACTS version2 ALL dekadal rainfall rfe_mergeddiff ] : ∂T Rainfall Anomaly data
version2 ALL dekadal rainfall rfe_mergeddiff int_dY partial_T ∂T Rainfall Anomaly 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 (12.20625N) to (16.81875N) by 0.0375 N= 124 pts :grid
Other Info
- CE
- 200
- CS
- -120
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 2.02005700462307×10-10 meter radian north second-1
- history
- min $partialdiff sub T$ $integral dY$ [ ANACIM ENACTS version2 ALL dekadal rainfall rfe_mergeddiff ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
min over T[6-15 Jan 1981, 6-15 Mar 2025]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
- colorscale
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 $partialdiff sub T$ $integral dY$ [ ANACIM ENACTS version2 ALL dekadal rainfall rfe_mergeddiff ] [ 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