root mean sq anom ∂T [ Rwanda ENACTS rfe_merged rfe_mergeddiff_percent ] : ∂T Merged Gauge-Satellite Rainfall Difference Expressed as Percent of Long-Term Average (%) data
Rwanda ENACTS rfe_merged rfe_mergeddiff_percent rfe_mergeddiff_percent partial_T
∂T Merged Gauge-Satellite Rainfall Difference Expressed as Percent of Long-Term Average (%) from SOURCES: the IRI/LDEO collection of climate data.
Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.51875E) to (30.95625E) by 0.0375 N= 66 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
- units
- 1.15740740740741×10-05 second-1
- history
- root mean sq anom $partialdiff sub T$ [ Rwanda ENACTS rfe_merged rfe_mergeddiff_percent ]
- Averaged over T2[0.5, 1116.5] minimum 0.0% data present
Averaged over T[0000 11 Jan 1983 - 0600 21 Jan 1983, 0600 21 Aug 2026 - 1800 31 Aug 2026]
Last updated: Mon, 14 Sep 2026 13:27:59 GMT
Expires: Mon, 21 Sep 2026 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 X
Y
- Differentiate along X
Y
- Take differences along X
Y
Average over
X
Y
|
X Y
|
RMS (root mean square with mean *not* removed) over
X
Y
|
X Y
|
RMSA (root mean square with mean removed) over
X
Y
|
X Y
|
Maximum over
X
Y
|
X Y
|
Minimum over
X
Y
|
X Y
|
Detrend (best-fit-line) over
X
Y
|
X Y
|
Note on units