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ANACIM ENACTS version1 ALL dekadal precipdiff_percent climatology anomalies: Merged Station-Satellite Rainfall Difference Expressed as Percent of Long-Term Average (%) data
version1 ALL dekadal precipdiff_percent precipdiff_percent Merged Station-Satellite Rainfall Difference Expressed as Percent of Long-Term Average (%) from ANACIM ENACTS: Enhancing National Climate Service initiative.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic (0000 1 Jan - 0000 11 Jan) to (0000 21 Dec - 0000 1 Jan) by 0.3333335 N= 36 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (17.5875W) to (11.2125W) by 0.0375 N= 171 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (12.225N) to (16.8N) by 0.03749999 N= 123 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- units
- unitless
- history
- ANACIM ENACTS version1 ALL dekadal precipdiff_percent climatology
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T2[1981, 2357 30 Dec 2015 - 2357 30 Dec 2016]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
- ANACIM ENACTS version1 ALL dekadal precipdiff_percent climatology climatology
- ANACIM ENACTS version1 ALL dekadal precipdiff_percent climatology
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T2[1981, 2357 30 Dec 2015 - 2357 30 Dec 2016]
Averaged over T2=0000 1 Jan 1960 - 0000 1 Jan 1961 - Averaged over T2[0.5, 1080.5] minimum 0.0% data present
- ANACIM ENACTS version1 ALL dekadal precipdiff_percent climatology
- ANACIM ENACTS version1 ALL dekadal precipdiff_percent climatology
Last updated: Thu, 26 Oct 2023 14:58:08 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 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