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∂X root mean sq [ ENACTS version0 monthly rainfall spi anomalies ] : ∂X Standardized Precipitation Index data
monthly rainfall spi spi spi partial_X ∂X Standardized Precipitation Index from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1960-01-01) ordered [ (Jan 1981) (Feb 1981) (Mar 1981) ... (Sep 2024)] N= 525 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.88E) to (51.43E) by 0.05 N= 592 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 57.2957795130823 radian-1 east
- history
- $partialdiff sub X$ root mean sq [ ENACTS version0 monthly rainfall spi anomalies ]
- Averaged over T2[1981, 2023] minimum 0.0% data present
Averaged over Y[11.8S, 23.15N] minimum 0.0% data present
- Averaged over T2[1981, 2023] 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
Views
data as colors
data as contours
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 T X
- Differentiate along T X
- Take differences along T X
RMS (root mean square with mean *not* removed) over T X | T X |
RMSA (root mean square with mean removed) over T X | T X |
Maximum over T X | T X |
Minimum over T X | T X |
Detrend (best-fit-line) over T X | T X |
Note on units