served from digilib.icpac.net
root mean sq anom ∫dY ∂Y mean [ ENACTS version0 daily rainfall0p25 rfe ] : ∂Y precipitation data
daily rainfall0p25 rfe rfe partial_Y int_dY ∂Y precipitation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- prcp_dailyrate_max100_smooth
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 1.0
- standard_name
- lwe_precipitation_rate
- units
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
- history
- ENACTS version0 daily rainfall0p25 rfe
- X regridded on ENACTS version0 daily rainfall rfe
Y regridded on ENACTS version0 daily rainfall rfe
$integral dY$ $partialdiff sub Y$ mean [ ENACTS version0 daily rainfall0p25 rfe ]- Averaged over X[20.8498E, 52.1502E] T[1200 31 Dec 1980 - 1200 1 Jan 1981, 2400 31 Dec 2020] minimum 0.0% data present
root mean sq anom $integral dY$ $partialdiff sub Y$ mean [ ENACTS version0 daily rainfall0p25 rfe ]- Averaged over Y[12.02175S, 22.22611N] minimum 0.0% data present
- X regridded on ENACTS version0 daily rainfall rfe
Last updated: Mon, 22 Feb 2021 09:33:15 GMT
Data Views
 root mean sq anom $integral dY$ $partialdiff sub Y$ mean [ ENACTS version0 daily rainfall0p25 rfe ] [ |] |
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units