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root mean sq mean ∂X [ ENACTS version0 dekadal rainfall rfe_mergeddiff_percent ] : ∂X Rainfall Difference Expressed as Percent of Long-Term Average (%) data
dekadal rainfall rfe_mergeddiff_percent partial_X partial_X partial_X ∂X Rainfall Difference Expressed as Percent of Long-Term Average (%) from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.88E) to (51.43E) by 0.05 N= 592 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- units
- 0.572957795130823 radian-1 east
- history
- mean $partialdiff sub X$ [ ENACTS version0 dekadal rainfall rfe_mergeddiff_percent ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over Y[11.775S, 23.125N]
root mean sq mean $partialdiff sub X$ [ ENACTS version0 dekadal rainfall rfe_mergeddiff_percent ]- Averaged over T[1-10 Jan 1981, 0144 1 Oct 2024]
- 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
line plots
color bars
scatter| X | |
 root mean sq mean $partialdiff sub X$ [ ENACTS version0 dekadal rainfall rfe_mergeddiff_percent ] [ X |] | M |
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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
- Differentiate along X
- Take differences along X
RMS (root mean square with mean *not* removed) over X |
RMSA (root mean square with mean removed) over X |
Maximum over X |
Minimum over X |
Detrend (best-fit-line) over X |
Note on units