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mean ∫dX [ ICPAC CHIRP-BLENDED dekadal rainfall precipitation ] climatology: Precipitation data
precipitation int_dX int_dX Precipitation from ICPAC CHIRP-BLENDED dekadal rainfall: a first example to read.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 (21.83E) to (51.48E) by 0.05 N= 594 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.135325123816104 ampere-1 meter radian east second-1
- history
- mean $integral dX$ [ ICPAC CHIRP-BLENDED dekadal rainfall precipitation ] climatology
- Averaged over Y[11.8S, 23.15N] minimum 0.0% data present
Averaged over T2[1981, 2357 30 Dec 2015 - 2357 30 Dec 2016] minimum 0.0% data present
- Averaged over Y[11.8S, 23.15N] minimum 0.0% data present
Last updated: Fri, 27 Nov 2020 06:07:42 GMT
Data Views
Views
data as colors
data as contours
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 T
- Differentiate along X T
- Take differences along X T
RMS (root mean square with mean *not* removed) over X T | X T |
RMSA (root mean square with mean removed) over X T | X T |
Maximum over X T | X T |
Minimum over X T | X T |
Detrend (best-fit-line) over X T | X T |
Note on units