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root mean sq ∂Y [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation ] : ∂Y Precipitation data
root mean sq ∂Y [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation ] .Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.855E) to (51.455E) by 0.05 N= 593 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.75S) to (23.1N) by 0.05 N= 698 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 0.687549354156988 meter radian-1 north year-1
- history
- Averaged over T[Jan 1981, Apr 2024] minimum 0.0% data present
Last updated: Thu, 16 May 2024 08:16:46 GMT
Expires: Mon, 10 Jun 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 root mean sq $partialdiff sub Y$ [ ICPAC CHIRPS-BLENDED monthly rainfall precipitation ] [ X Y |] | M | M |
|---|
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