min ∫dT mean ∂T [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ] : ∂T Rainfall data Expressed as Percentages of the Long-Term Average data
dekadal rainfall rfe_merged_vs_meanrfe_merged partial_T partial_T int_dT
∂T Rainfall data Expressed as Percentages of the Long-Term Average from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.
is
Independent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- units
- percent
- standard units*
- 0.01
- history
- $integral dT$ mean $partialdiff sub T$ [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ] 21-31 Jul 2024
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over Y[11.8S, 23.15N]
min $integral dT$ mean $partialdiff sub T$ [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ] - min over X[21.855E, 51.455E] T[1-10 Jan 1981, 21-31 Jul 2024]
Last updated: Tue, 27 Aug 2024 06:59:22 GMT
Expires: Sun, 11 Aug 2024 00:00:00 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