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∫dT [ NiMet ENACTS ENACTS_v1 MON Rainfall dekadal SPI-precip_1-dekad ] anomalies climatology: Standard Precipitation Index 1-dekad data
ENACTS_v1 MON Rainfall dekadal SPI-precip_1-dekad int_dT int_dT Standard Precipitation Index 1-dekad from NiMet ENACTS: Enhancing National Climate Service Initiative.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic (0000 1 Jan) to (2359 20 Dec) by 0.333333 N= 36 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (2.4E) to (14.925E) by 0.03750001 N= 335 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.975N) to (14.1N) by 0.0375 N= 271 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9.9899998
- maxncolor
- 254
- missing_value
- NaN
- units
- days
- standard units*
- 86400 second
- history
- $integral dT$ [ NiMet ENACTS ENACTS_v1 MON Rainfall dekadal SPI-precip_1-dekad ] anomalies climatology
- Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2023 - 25 Dec 2024] minimum 0.0% data present
Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2023 - 25 Dec 2024] minimum 0.0% data present
- Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2023 - 25 Dec 2024] minimum 0.0% data present
Last updated: Fri, 21 Nov 2025 22:30:18 GMT
Expires: Mon, 01 Dec 2025 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 | |
 $integral dT$ [ NiMet ENACTS ENACTS_v1 MON Rainfall dekadal SPI-precip_1-dekad ] anomalies climatology[ T | X Y] | M | M | M |
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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