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∂Y root mean sq anom root mean sq anom [ ENACTS version0 seasonal rainfall spi ] : ∂Y Standardized Precipitation Index data
seasonal rainfall spi spi spi ∂Y Standardized Precipitation Index from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.75S) to (23.1N) by 0.05 N= 698 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 3
- units
- 57.2957795130823 radian-1 north
- history
- $partialdiff sub Y$ root mean sq anom root mean sq anom [ ENACTS version0 seasonal rainfall spi ]
- Averaged over X[21.855E, 51.455E] minimum 0.0% data present
Averaged over T[Jan-Mar 1981, Jul-Sep 2024] minimum 0.0% data present
- Averaged over X[21.855E, 51.455E] minimum 0.0% data present
Last updated: Mon, 28 Oct 2024 09:34:35 GMT
Expires: Sun, 10 Nov 2024 00:00:00 GMT
Data Views
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scatter| Y | |
 $partialdiff sub Y$ root mean sq anom root mean sq anom [ ENACTS version0 seasonal rainfall spi ] [ | Y] | 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 Y
- Differentiate along Y
- Take differences along Y
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units