root mean sq root mean sq anom root mean sq ∂Y [ ENACTS version0 daily rainfall0p25 rfe ] : ∂Y precipitation data
daily rainfall0p25 rfe partial_Y partial_Y partial_Y
∂Y precipitation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.
is
Independent 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
- 6.63145596216231×10-07 meter radian-1 north second-1
- history
- $partialdiff sub Y$ [ ENACTS version0 daily rainfall0p25 rfe ]
- X regridded on ENACTS version0 daily rainfall rfe
Y regridded on ENACTS version0 daily rainfall rfe
root mean sq $partialdiff sub Y$ [ ENACTS version0 daily rainfall0p25 rfe ] 31 Dec 2020- Averaged over Y[12.02175S, 22.22611N] minimum 0.0% data present
root mean sq anom root mean sq $partialdiff sub Y$ [ ENACTS version0 daily rainfall0p25 rfe ] - Averaged over T[1 Jan 1981, 31 Dec 2020] minimum 0.0% data present
root mean sq root mean sq anom root mean sq $partialdiff sub Y$ [ ENACTS version0 daily rainfall0p25 rfe ] - Averaged over X[20.8498E, 52.1502E] minimum 0.0% data present
Last updated: Mon, 22 Feb 2021 09:33:15 GMT
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
Average over
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