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∂Y ∫dY detrended-bfl [ ICPAC CHIRP-BLENDED dekadal rainfall precipitation ] : ∂Y Precipitation data
precipitation adif int_dY ∂Y 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
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.855E) to (51.455E) by 0.05 N= 593 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.775S) to (23.125N) by 0.05 N= 699 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 7.75355845674806 ampere-1 meter second-1
Last updated: Fri, 27 Nov 2020 06:07:42 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub Y$ $integral dY$ detrended-bfl [ ICPAC CHIRP-BLENDED dekadal rainfall precipitation ] [ X Y | T] | M | 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 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