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min ∂Y ∂X [ ENACTS version0 monthly rainfall spi ] : ∂Y ∂X Standardized Precipitation Index data
monthly rainfall spi partial_X partial_Y ∂Y ∂X Standardized Precipitation Index from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1981) to (Sep 2024) by 1.0 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
- 3
- colorscalename
- precip_colors
- CS
- -3
- datatype
- realarraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 3282.80635001174 radian-2 east
- history
- min over Y[11.75S, 23.1N]
- colorscale
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| T | X | |
 grid: /T (months since 1960-01-01) ordered (Jan 1981) to (Sep 2024) by 1.0 N= 525 pts :grid | M | |
|---|---|---|
| grid: /X (degree_east) ordered (21.88E) to (51.43E) by 0.05 N= 592 pts :grid | M | |
 min $partialdiff sub Y$ $partialdiff sub X$ [ ENACTS version0 monthly rainfall spi ] [ T | X] | 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 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