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root mean sq ∂X detrended-bfl [ ENACTS version0 monthly climatologies rfe ] : ∂X Monthly Rainfall climatology 1981-2010 average data
monthly climatologies rfe adif partial_X ∂X Monthly Rainfall climatology 1981-2010 average from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.88E) to (51.43E) by 0.05 N= 592 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.775S) to (23.125N) by 0.05 N= 699 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 0.687549354156988 meter radian-1 east year-1
- history
- root mean sq $partialdiff sub X$ detrended-bfl [ ENACTS version0 monthly climatologies rfe ]
- Averaged over T2[1981, 2010] minimum 0.0% data present
Averaged over T[Jan, Dec] minimum 0.0% data present
- Averaged over T2[1981, 2010] minimum 0.0% data present
Last updated: Mon, 28 Oct 2024 09:34:35 GMT
Expires: Sun, 10 Nov 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 | |
 root mean sq $partialdiff sub X$ detrended-bfl [ ENACTS version0 monthly climatologies rfe ] [ X Y |] | M | 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 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