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root mean sq ∂Y ∫dT [ ENACTS version0 dekadal climatologies rfe ] : ∂Y Dekadal rainfall climatology 1981-2010 average data
dekadal climatologies rfe int_dT partial_Y ∂Y Dekadal rainfall climatology 1981-2010 average from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.75S) to (23.1N) by 0.05 N= 698 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 4950.35534993031 meter radian-1 north second
- history
- root mean sq $partialdiff sub Y$ $integral dT$ [ ENACTS version0 dekadal climatologies rfe ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over X[21.83E, 51.48E] T[0000 1 Jan, 2400 31 Dec] 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
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color bars
scatter| Y | |
 root mean sq $partialdiff sub Y$ $integral dT$ [ ENACTS version0 dekadal climatologies rfe ] [ Y |] | 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 Y
- Differentiate along Y
- Take differences along Y
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units