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root mean sq [ detrended-bfl ∫dT ( ENACTS version0 dekadal rainfall rfe ) climatology ]: Precipitation data
dekadal rainfall rfe int_dT adif adif Precipitation from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic (0000 1 Jan) to (2359 20 Dec) by 0.333333 N= 36 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.855E) to (51.455E) by 0.05 N= 593 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 86.4 meter second
- history
- root mean sq [ detrended-bfl $integral dT$ ( ENACTS version0 dekadal rainfall rfe ) climatology ]
- Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2022 - 25 Dec 2023] minimum 0.0% data present
Averaged over Y[11.8S, 23.15N] minimum 0.0% data present
- Averaged over T2[0000 26 Dec 1980 - 0000 26 Dec 1981, 26 Dec 2022 - 25 Dec 2023] minimum 0.0% data present
Last updated: Mon, 28 Oct 2024 09:31:03 GMT
Expires: Fri, 11 Oct 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours| T | X | |
 root mean sq [ detrended-bfl $integral dT$ ( ENACTS version0 dekadal rainfall rfe ) climatology ][ X T |] | M | M |
|---|
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 X T
- Differentiate along X T
- Take differences along X T
RMS (root mean square with mean *not* removed) over X T | X T |
RMSA (root mean square with mean removed) over X T | X T |
Maximum over X T | X T |
Minimum over X T | X T |
Detrend (best-fit-line) over X T | X T |
Note on units