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∂T ∂T [ ZMD ENACTS rainfall ALL monthly rfe_merged ] : ∂T ∂T Monthly Rainfall data
ENACTS rainfall ALL monthly rfe_merged rfe_merged partial_T ∂T ∂T Monthly Rainfall from ZMD: Zambia Meteorological Department.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (0600 31 Jan 1981 - 1800 1 Mar 1981) (1800 1 Mar 1981 - 1800 31 Mar 1981) (1800 31 Mar 1981 - 0600 1 May 1981) ... (0000 1 Aug 2024 - 1800 31 Aug 2024)] N= 523 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 (8.099999S) by 0.0375 N= 270 pts :grid
Other Info
- CE
- 800
- colorscalename
- precip_colors
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.33959190672154×10-13 meter second-2
- history
- Boxes with less than 0.0% dropped
- colorscale
Last updated: Thu, 12 Dec 2024 15:16:42 GMT
Expires: Sat, 21 Dec 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 | |
 $partialdiff sub T$ $partialdiff sub T$ [ ZMD ENACTS rainfall ALL monthly rfe_merged ] [ 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