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min ∫dY [ ENACTS version0 dekadal rainfall rfe_mergeddiff climatology ] : Rainfall Anomaly data
dekadal rainfall rfe_mergeddiff rfe_mergeddiff rfe_mergeddiff int_dY Rainfall Anomaly 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
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.775S) to (23.125N) by 0.05 N= 699 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.74532925199433×10-05 meter radian north
- history
- $integral dY$ [ ENACTS version0 dekadal rainfall rfe_mergeddiff 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] minimum 0.0% data present
min $integral dY$ [ ENACTS version0 dekadal rainfall rfe_mergeddiff climatology ]- min over X[21.855E, 51.455E]
- Averaged over T2[0.5, 1080.5] 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
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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units