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∂T min ∂Y [ ENACTS version0 dekadal rainfall SPI_1_dekad ] : ∂T ∂Y Standard Precipitation Index 1-dekad data
dekadal rainfall SPI_1_dekad SPI_1_dekad partial_Y min ∂T ∂Y Standard Precipitation Index 1-dekad from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (0000 11 Jan 1981 - 0600 21 Jan 1981) (0600 21 Jan 1981 - 1800 31 Jan 1981) (1800 31 Jan 1981 - 2400 10 Feb 1981) ... (0000 11 Jan 2025 - 0600 21 Jan 2025)] N= 1585 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.855E) to (51.455E) by 0.05 N= 593 pts :grid
Other Info
- CE
- 3.0999999
- colorscalename
- precip_colors
- CS
- -3.0999999
- datatype
- realarraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.00066314559621623 radian-1 north second-1
- history
- min over Y[11.75S, 23.1N]
- colorscale
Last updated: Thu, 20 Feb 2025 09:48:36 GMT
Expires: Tue, 11 Feb 2025 00:00:00 GMT
Data Views
Views
data as colors
data as contours| T | X | |
 $partialdiff sub T$ min $partialdiff sub Y$ [ ENACTS version0 dekadal rainfall SPI_1_dekad ] [ 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