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∂Y min [ ENACTS version0 seasonal rainfall spi climatology ] : ∂Y Standardized Precipitation Index data
seasonal rainfall spi spi min ∂Y Standardized Precipitation Index from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.855E) to (51.455E) by 0.05 N= 593 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.75S) to (23.1N) by 0.05 N= 698 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 3
- units
- 57.2957795130823 radian-1 north
- history
- $partialdiff sub Y$ min [ ENACTS version0 seasonal rainfall spi climatology ]
- Averaged over T2[Feb 1981 - Jan 1982, Feb 2023 - Jan 2024] minimum 0.0% data present
min over T[Jan-Mar, Dec - Feb]
- Averaged over T2[Feb 1981 - Jan 1982, Feb 2023 - Jan 2024] minimum 0.0% data present
Last updated: Thu, 16 May 2024 08:16:46 GMT
Expires: Mon, 10 Jun 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
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 X Y
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units