root mean sq ∫dT [ ZMD ENACTS rainfall ALL dekadly rfe_mergeddiff_percent climatology ] : Merged Station-Satellite Rainfall Difference Expressed as Percent of Long-Term Average (%) data
ENACTS rainfall ALL dekadly rfe_mergeddiff_percent rfe_mergeddiff_percent int_dT Merged Station-Satellite Rainfall Difference Expressed as Percent of Long-Term Average (%) from ZMD: Zambia Meteorological Department.
Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (0000 1 Jan 1960) to (0000 1 Jan 1961) by 0.3333335 N= 37 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (18.1875S) to (8.099999S) by 0.0375 N= 270 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99.0
- maxncolor
- 254
- units
- 0.000833333333333333 year
- history
- $integral dT$ [ ZMD ENACTS rainfall ALL dekadly rfe_mergeddiff_percent climatology ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over T2[1981, 2023]
root mean sq $integral dT$ [ ZMD ENACTS rainfall ALL dekadly rfe_mergeddiff_percent climatology ] - Averaged over X[21.69375E, 33.88125E]
Last updated: Thu, 12 Dec 2024 15:16:42 GMT
Expires: Sat, 21 Dec 2024 00:00:00 GMT
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 Y
T
- Differentiate along Y
T
- Take differences along Y
T
Average over
Y
T
|
Y T
|
RMS (root mean square with mean *not* removed) over
Y
T
|
Y T
|
RMSA (root mean square with mean removed) over
Y
T
|
Y T
|
Maximum over
Y
T
|
Y T
|
Minimum over
Y
T
|
Y T
|
Detrend (best-fit-line) over
Y
T
|
Y T
|
Note on units