∂T root mean sq [ Rwanda ENACTS rfe_merged rfe_merged_vs_meanrfe_merged ] : ∂T Merged Gauge-Satellite Rainfall Expressed as Percentages of the Long-Term Average data
Rwanda ENACTS rfe_merged rfe_merged_vs_meanrfe_merged rfe_merged_vs_meanrfe_merged
∂T Merged Gauge-Satellite Rainfall Expressed as Percentages of the Long-Term Average 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) ... (1200 26 Aug 2026 - 2400 5 Sep 2026)] N= 1572 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.51875E) to (30.95625E) by 0.0375 N= 66 pts :grid
Other Info
- CE
- null
- colorscalename
- rfepercent_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- units
- 1.15740740740741×10-05 second-1
- history
- $partialdiff sub T$ root mean sq [ Rwanda ENACTS rfe_merged rfe_merged_vs_meanrfe_merged ]
- Averaged over T2[0.5, 1116.5] minimum 0.0% data present
Averaged over Y[3S, 1.0125S]
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
T
- Differentiate along X
T
- Take differences along X
T
Average over
X
T
|
X T
|
RMS (root mean square with mean *not* removed) over
X
T
|
X T
|
RMSA (root mean square with mean removed) over
X
T
|
X T
|
Maximum over
X
T
|
X T
|
Minimum over
X
T
|
X T
|
Detrend (best-fit-line) over
X
T
|
X T
|
Note on units