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mean [ ∫dY ( ENACTS version0 dekadal climatologies rfe ) climatology ]: Dekadal rainfall climatology 1981-2010 average data
dekadal climatologies rfe int_dY int_dY Dekadal rainfall climatology 1981-2010 average from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- 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 (11.8S) to (23.15N) by 0.05 N= 700 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.74532925199433×10-05 meter radian north
- history
- $integral dY$ [ ENACTS version0 dekadal climatologies rfe ] climatology
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T2=1981 minimum 0.0% data present
mean [ $integral dY$ ( ENACTS version0 dekadal climatologies rfe ) climatology ]- Averaged over T[0000 1 Jan - 0000 11 Jan, 0000 21 Dec - 0000 1 Jan] minimum 0.0% data present
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Last updated: Mon, 28 Oct 2024 09:31:03 GMT
Expires: Fri, 11 Oct 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 grid: /X (degree_east) ordered (21.855E) to (51.455E) by 0.05 N= 593 pts :grid | M | |
|---|---|---|
| grid: /Y (degree_north) ordered (11.8S) to (23.15N) by 0.05 N= 700 pts :grid | M | |
 mean [ $integral dY$ ( ENACTS version0 dekadal climatologies rfe ) climatology ][ X Y |] | 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
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units