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∂X ∫dY [ MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal SPI-precip_1-dekad ] : ∂X Standard Precipitation Index 1-dekad data
ENACTS ENACTS_v2 MON Rainfall dekadal SPI-precip_1-dekad int_dY ∂X Standard Precipitation Index 1-dekad from MaliMeteo: Mali-Météo.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 1981) (11-20 Jan 1981) (21-31 Jan 1981) ... (11-20 Jun 2023)] N= 1529 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (12.50625W) to (4.51875E) by 0.0375 N= 455 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (9.84375N) to (25.36875N) by 0.0375 N= 415 pts :grid
Other Info
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- units
- unitless
Last updated: Fri, 15 Sep 2023 09:17:58 GMT
Expires: Mon, 21 Aug 2023 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 | |
 $partialdiff sub X$ $integral dY$ [ MaliMeteo ENACTS ENACTS_v2 MON Rainfall dekadal SPI-precip_1-dekad ] [ 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