served from IRI/LDEO Climate Data Library
ANACIM ENACTS version3 ALL dekadal rainfall rfe_mergeddiff_percent: Rainfall Difference Expressed as Percent of Long-Term Average (%) data
version3 ALL dekadal rainfall Rainfall Difference Expressed as Percent of Long-Term Average (%) from ANACIM ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 1983) (11-20 Jan 1983) (21-31 Jan 1983) ... (21-31 Dec 2016)] N= 1224 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (18.075W) to (10.725W) by 0.0375 N= 197 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.7N) to (17.2875N) by 0.03750001 N= 150 pts :grid
Other Info
- CE
- 500
- CS
- -100
- datatype
- realarraytype
- file_missing_value
- -99
- maxncolor
- 254
- scale_max
- 500.0
- scale_min
- -100.0
- units
- percent
- standard units*
- 0.01
- history
- Averaged over T2[0.5, 1008.5] minimum 0.0% data present
- colorscale
Last updated: Mon, 24 May 2021 18:39:31 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 ANACIM ENACTS version3 ALL dekadal rainfall rfe_mergeddiff_percent[ X Y | T] | 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 X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units