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min ∂T [ ZMD ENACTS rainfall ALL dekadly rfe_merged climatology ] : ∂T Merged Station-Satellite Rainfall data
ENACTS rainfall ALL dekadly rfe_merged rfe_merged partial_T ∂T Merged Station-Satellite Rainfall from ZMD: Zambia Meteorological Department.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (21.7125E) to (33.8625E) by 0.0375 N= 325 pts :grid
Other Info
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- missing_value
- NaN
- units
- mm /month
- standard units*
- 0.012 meter year-1
- history
- min $partialdiff sub T$ [ ZMD ENACTS rainfall ALL dekadly rfe_merged climatology ]
- Averaged over T2[1981, 2023] minimum 0.0% data present
min over Y[18.1875S, 8.099999S] T[0000 26 Dec - 0000 6 Jan, 0000 26 Dec - 0000 6 Jan]
- Averaged over T2[1981, 2023] minimum 0.0% data present
Last updated: Thu, 12 Dec 2024 15:16:42 GMT
Expires: Sat, 21 Dec 2024 00:00:00 GMT
Data Views
Views
line plots
color bars
scatter| X | |
 ZMD ENACTS rainfall ALL dekadly[rfe_mergeddiff_percent
rfe_mergeddiff
rfe_merged_vs_meanrfe
climatologies
rfe_merged
SPI-rfe_merged_1-dekad
] | |
 min $partialdiff sub T$ [ ZMD ENACTS rainfall ALL dekadly rfe_merged climatology ] [ X |] | 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
- Differentiate along X
- Take differences along X
RMS (root mean square with mean *not* removed) over X |
RMSA (root mean square with mean removed) over X |
Maximum over X |
Minimum over X |
Detrend (best-fit-line) over X |
Note on units