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KMD Kenya_v01 CLM dekadal rainfall rfe_mergeddiff_percent: Rainfall Difference Expressed as Percent of Long-Term Average (%) data
KMD Kenya_v01 CLM dekadal rainfall rfe_mergeddiff_percent.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 1981) (11-20 Jan 1981) (21-31 Jan 1981) ... (21-31 Oct 2018)] N= 1362 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (33.825E) to (42E) by 0.0375 N= 219 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (4.8S) to (5.175N) by 0.0375 N= 267 pts :grid
Other Info
- CE
- 500
- CS
- -100
- datatype
- realarraytype
- maxncolor
- 254
- scale_max
- 500.0
- scale_min
- -100.0
- units
- percent
- standard units*
- 0.01
- history
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
- colorscale
Last updated: Wed, 29 May 2024 07:29:02 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 KMD Kenya_v01 CLM dekadal rainfall rfe_mergeddiff_percent[ X Y | T] | M | M | M |
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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 Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units