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∂T ∂X ∂T [ ENACTS version0 monthly rainfall spi ] : ∂T ∂X ∂T Standardized Precipitation Index data
monthly rainfall spi partial_T partial_X ∂T ∂X ∂T 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 (Feb 1981) to (Jun 2024) by 1.0 N= 521 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.88E) to (51.43E) by 0.05 N= 592 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.775S) to (23.125N) by 0.05 N= 699 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
- 8250.59224988386 radian-1 east year-2
- colorscale
Last updated: Tue, 27 Aug 2024 07:01:28 GMT
Expires: Tue, 10 Sep 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub T$ $partialdiff sub X$ $partialdiff sub T$ [ ENACTS version0 monthly rainfall spi ] [ T | X Y] | M | 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 Y
- Differentiate along T X Y
- Take differences along T X Y
RMS (root mean square with mean *not* removed) over T X Y | T X T Y X Y | T X Y |
RMSA (root mean square with mean removed) over T X Y | T X T Y X Y | T X Y |
Maximum over T X Y | T X T Y X Y | T X Y |
Minimum over T X Y | T X T Y X Y | T X Y |
Detrend (best-fit-line) over T X Y | T X T Y X Y | T X Y |
Note on units