root mean sq max mean ∫dX [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged climatology ] : Rainfall data Expressed as Percentages of the Long-Term Average data
dekadal rainfall rfe_merged_vs_meanrfe_merged rfe_merged_vs_meanrfe_merged int_dX int_dX max 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
- 0.000174532925199433 radian east
- history
- $integral dX$ [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged climatology ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T2[1981, 2357 30 Dec 2022 - 2357 30 Dec 2023]
mean $integral dX$ [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged climatology ] - Averaged over T[0000 1 Jan - 0000 11 Jan, 0000 21 Dec - 0000 1 Jan]
max mean $integral dX$ [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged climatology ] - max over Y[11.775S, 23.125N]
root mean sq max mean $integral dX$ [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged climatology ] - Averaged over X[21.83E, 51.48E]
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