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max ∫dT [ ICPAC CHIRP-BLENDED dekadal rainfall precipitation ] : Precipitation data
precipitation precipitation int_dT Precipitation from ICPAC CHIRP-BLENDED dekadal rainfall: a first example to read.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (0000 1 Jan 1981) (0000 11 Jan 1981) (0000 21 Jan 1981) ... (0000 1 Jun 2017)] N= 1312 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.75S) to (23.1N) by 0.05 N= 698 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 669907.45066303 ampere-1 meter
- history
- max over X[21.855E, 51.455E]
Last updated: Fri, 27 Nov 2020 06:07:42 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 grid: /Y (degree_north) ordered (11.75S) to (23.1N) by 0.05 N= 698 pts :grid | M | |
|---|---|---|
| grid: /T (days since 1960-01-01) ordered [ (0000 1 Jan 1981) (0000 11 Jan 1981) (0000 21 Jan 1981) ... (0000 1 Jun 2017)] N= 1312 pts :grid | M | |
 max $integral dT$ [ ICPAC CHIRP-BLENDED dekadal rainfall precipitation ] [ Y | T] | M | 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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units