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∫dT root mean sq [ ENACTS version0 seasonal rainfall spi anomalies ] : Standardized Precipitation Index data
seasonal rainfall spi spi spi 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 (0000 1 Feb 1981) to (0000 1 Nov 2024) by 1.0 N= 526 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.855E) to (51.455E) by 0.05 N= 593 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 3
- units
- months
- standard units*
- 0.0833333333333333 year
- history
- $integral dT$ root mean sq [ ENACTS version0 seasonal rainfall spi anomalies ]
- Averaged over T2[Feb 1981 - Jan 1982, Feb 2023 - Jan 2024] minimum 0.0% data present
Averaged over Y[11.8S, 23.15N] minimum 0.0% data present
- Averaged over T2[Feb 1981 - Jan 1982, Feb 2023 - Jan 2024] minimum 0.0% data present
Last updated: Thu, 19 Dec 2024 06:24:10 GMT
Expires: Fri, 10 Jan 2025 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