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∂T ∂Y min [ ENACTS version0 dekadal rainfall rfe_mergeddiff ] : ∂T ∂Y Rainfall Anomaly data
dekadal rainfall rfe_mergeddiff min partial_Y ∂T ∂Y Rainfall Anomaly from ENACTS version0: version 0: CHIRPS-BLENDED and CRU.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (6-15 Jan 1981) (0000 16 Jan 1981 - 1200 26 Jan 1981) (1200 26 Jan 1981 - 2400 5 Feb 1981) ... (16-25 Nov 2024)] N= 1580 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (11.75S) to (23.1N) by 0.05 N= 698 pts :grid
Other Info
- CE
- 200
- colorscalename
- precip_colors
- CS
- -120
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 6.6314559621623×10-07 meter radian-1 north second-1
- history
- $partialdiff sub T$ $partialdiff sub Y$ min [ ENACTS version0 dekadal rainfall rfe_mergeddiff ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
min over X[21.855E, 51.455E]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
- colorscale
Last updated: Thu, 19 Dec 2024 06:22:33 GMT
Expires: Wed, 11 Dec 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 $partialdiff sub T$ $partialdiff sub Y$ min [ ENACTS version0 dekadal rainfall rfe_mergeddiff ] [ Y | 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 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