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KMD Kenya_v03r05 MON Rainfall dekadal precipdiff_percent: Rainfall Difference Expressed as Percent of Long-Term Average (%) data
KMD Kenya_v03r05 MON Rainfall dekadal precipdiff_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) ... (11-20 Mar 2024)] N= 1556 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (32.025E) to (42.975E) by 0.04999999 N= 220 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (5.975S) to (5.975N) by 0.05 N= 240 pts :grid
Other Info
- CE
- 400
- colorscalename
- cmorph_dekad_colors
- CS
- -100
- datatype
- realarraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- pointwidth
- 1.0
- scale_max
- 400.0
- scale_min
- -100.0
- units
- unitless
- history
- KMD Kenya_v03r05 MON Rainfall dekadal [ precip - ( c9120 precip ) ]
- KMD Kenya_v03r05 MON Rainfall dekadal precip
Boxes with less than 0.0% dropped
- KMD Kenya_v03r05 MON Rainfall dekadal c9120 precip
- Boxes with less than 0.0% dropped
Averaged over T2[0.5, 1080.5] minimum 0.0% data present
- Boxes with less than 0.0% dropped
- KMD Kenya_v03r05 MON Rainfall dekadal precip
- maskle [ ( KMD Kenya_v03r05 MON Rainfall dekadal c9120 precip ) , 10 ]
- KMD Kenya_v03r05 MON Rainfall dekadal c9120 precip
- Boxes with less than 0.0% dropped
Averaged over T2[0.5, 1080.5] minimum 0.0% data present
- Boxes with less than 0.0% dropped
- KMD Kenya_v03r05 MON Rainfall dekadal c9120 precip
- KMD Kenya_v03r05 MON Rainfall dekadal [ precip - ( c9120 precip ) ]
- colorscale
Last updated: Mon, 03 Jun 2024 13:59:10 GMT
Expires: Tue, 11 Jun 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 KMD Kenya_v03r05 MON Rainfall dekadal precipdiff_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