∫dY root mean sq anom ∂Y [ Rwanda ENACTS rfe_merged rfe_merged ] : ∂Y Merged Gauge-Satellite Rainfall data
Rwanda ENACTS rfe_merged rfe_merged partial_Y partial_Y partial_Y
∂Y Merged Gauge-Satellite Rainfall from SOURCES: the IRI/LDEO collection of climate data.
Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (6-15 Jan 1983) (0000 16 Jan 1983 - 1200 26 Jan 1983) (1200 26 Jan 1983 - 2400 5 Feb 1983) ... (6-15 May 2024)] N= 1489 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.98125S) to (1.03125S) by 0.0375 N= 53 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- mm
- standard units*
- 0.001 meter
- history
- Averaged over X[28.51875E, 30.95625E] minimum 0.0% data present
Last updated: Sun, 02 Jun 2024 10:06:57 GMT
Expires: Tue, 11 Jun 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