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min max min ∂Y [ ENACTS version0 daily rainfall0p25 rfe ] : ∂Y precipitation data
daily rainfall0p25 rfe partial_Y min max ∂Y precipitation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU. isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 4
- CE
- 100.0
- colorscalename
- prcp_dailyrate_max100_smooth
- CS
- 0.0
- datatype
- realarraytype
- 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
min $partialdiff sub Y$ [ ENACTS version0 daily rainfall0p25 rfe ] 31 Dec 2020- min over Y[11.89676S, 22.10112N]
max min $partialdiff sub Y$ [ ENACTS version0 daily rainfall0p25 rfe ]- max over T[1 Jan 1981, 31 Dec 2020]
min max min $partialdiff sub Y$ [ ENACTS version0 daily rainfall0p25 rfe ]- min over X[20.975E, 52.025E]
- X regridded on ENACTS version0 daily rainfall rfe
- colorscale
Last updated: Mon, 22 Feb 2021 09:33:15 GMT
Data Views
 ENACTS version0 daily rainfall0p25[rfe
] |
 min max min $partialdiff sub Y$ [ 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