max root mean sq ∂T ∂X [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ] : ∂T ∂X Rainfall data Expressed as Percentages of the Long-Term Average data
dekadal rainfall rfe_merged_vs_meanrfe_merged partial_X partial_T partial_T partial_T
∂T ∂X 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
- 6.6314559621623×10-06 radian-1 east second-1
- history
- root mean sq $partialdiff sub T$ $partialdiff sub X$ [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over Y[11.8S, 23.15N] T[0000 11 Jan 1981 - 0600 21 Jan 1981, 2400 20 Jun 2024]
max root mean sq $partialdiff sub T$ $partialdiff sub X$ [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ] - max over X[21.88E, 51.43E]
Last updated: Wed, 17 Jul 2024 07:42:06 GMT
Expires: Thu, 11 Jul 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