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∂Y root mean sq anom ∂X [ ICPAC CHIRP-BLENDED dekadal rainfall precipitation ] : ∂Y ∂X Precipitation data
precipitation partial_X partial_X ∂Y ∂X Precipitation from ICPAC CHIRP-BLENDED dekadal rainfall: a first example to read.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 1981) (11-20 Jan 1981) (21-31 Jan 1981) ... (21-31 May 2017)] N= 1311 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.75S) to (23.1N) by 0.05 N= 698 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 25453.4309369997 ampere-1 meter radian-2 east second-1
- history
- Averaged over X[21.88E, 51.43E] minimum 0.0% data present
Last updated: Fri, 27 Nov 2020 06:07:42 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 $partialdiff sub Y$ root mean sq anom $partialdiff sub X$ [ 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