∫dT root mean sq anom [ ∂X ( ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ) climatology ] anomalies: ∂X Rainfall data Expressed as Percentages of the Long-Term Average data
dekadal rainfall rfe_merged_vs_meanrfe_merged partial_X partial_X partial_X int_dT
∂X 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) ordered (0000 1 Jan 1960) to (0000 1 Jan 1961) by 0.3333335 N= 37 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- units
- 0.0477464829275686 radian-1 east year
- history
- $integral dT$ root mean sq anom [ $partialdiff sub X$ ( ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ) climatology ]
- $partialdiff sub X$ [ 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]
Averaged over X[21.88E, 51.43E] Y[11.775S, 23.125N]
- $integral dT$ root mean sq anom [ $partialdiff sub X$ ( ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ) climatology ] climatology
- $partialdiff sub X$ [ 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]
$integral dT$ root mean sq anom [ $partialdiff sub X$ ( ENACTS version0 dekadal rainfall rfe_merged_vs_meanrfe_merged ) climatology ] - Averaged over X[21.88E, 51.43E] Y[11.775S, 23.125N]
Averaged over T2=0000 26 Dec 1959 - 0000 26 Dec 1960
Last updated: Thu, 16 May 2024 08:15:58 GMT
Expires: Sat, 11 May 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