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ZMD ENACTS rainfall MON dekadly rfe_mergeddiff: Merged Station-Satellite Rainfall Anomaly data
ENACTS rainfall MON dekadly Merged Station-Satellite Rainfall Anomaly from ZMD: Zambia Meteorological Department.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 1981) (11-20 Jan 1981) (21-31 Jan 1981) ... (1-10 Dec 2021)] N= 1474 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.7125E) to (33.8625E) by 0.0375 N= 325 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (18.1875S) to (8.1S) by 0.0375 N= 270 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 150
- colorscalename
- precip_colors
- CS
- -150
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- scale_max
- 150.0
- scale_min
- -150.0
- units
- mm
- standard units*
- 0.001 meter
- history
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
- colorscale
Last updated: Wed, 09 Feb 2022 11:22:06 GMT
Expires: Fri, 11 Feb 2022 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 | |
 ZMD ENACTS rainfall MON dekadly rfe_mergeddiff[ X Y | T] | M | 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 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