mean max ∂Y [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged climatology ] : ∂Y Rainfall data Expressed as Percentages of the Long-Term Average data
dekadal rainfall rfe_merged_vs_meanrfe_merged rfe_merged_vs_meanrfe_merged partial_Y max
∂Y Rainfall data Expressed as Percentages of the Long-Term Average from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.
Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic (0000 1 Jan - 0000 11 Jan) to (0000 21 Dec - 0000 1 Jan) by 0.3333335 N= 36 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- units
- 0.572957795130823 radian-1 north
- history
- $partialdiff sub Y$ [ 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]
max $partialdiff sub Y$ [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged climatology ] - max over Y[11.75S, 23.1N]
mean max $partialdiff sub Y$ [ ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged climatology ] - Averaged over X[21.83E, 51.48E]
Last updated: Fri, 19 Apr 2024 06:43:57 GMT
Expires: Thu, 11 Apr 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 T
- Differentiate along T
- Take differences along T
Average over
T
|
RMS (root mean square with mean *not* removed) over
T
|
RMSA (root mean square with mean removed) over
T
|
Maximum over
T
|
Minimum over
T
|
Detrend (best-fit-line) over
T
|
Note on units