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root mean sq ∫dT [ ICPAC CHIRP-BLENDED dekadal rainfall precipitation ] climatology: Precipitation data
precipitation int_dT int_dT 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) to (2359 20 Dec) by 0.333333 N= 36 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 669907.45066303 ampere-1 meter
- history
- root mean sq $integral dT$ [ ICPAC CHIRP-BLENDED dekadal rainfall precipitation ] climatology
- Averaged over X[21.83E, 51.48E] Y[11.8S, 23.15N] minimum 0.0% data present
Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2015 - 25 Dec 2016] minimum 0.0% data present
- Averaged over X[21.83E, 51.48E] Y[11.8S, 23.15N] minimum 0.0% data present
Last updated: Fri, 27 Nov 2020 06:07:42 GMT
Data Views
Views
line plots
color bars
scatter| T | |
 root mean sq $integral dT$ [ ICPAC CHIRP-BLENDED dekadal rainfall precipitation ] climatology[ T |] | 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
- Differentiate along T
- Take differences along T
RMS (root mean square with mean *not* removed) over T |
RMSA (root mean square with mean removed) over T |
Maximum over T |
Minimum over T |
Detrend (best-fit-line) over T |
Note on units