∂X ∂T root mean sq anom [ Rwanda ENACTS rfe_merged rfe_mergeddiff ] : ∂X ∂T Merged Gauge-Satellite Rainfall Anomaly data
Rwanda ENACTS rfe_merged rfe_mergeddiff rfe_mergeddiff partial_T
∂X ∂T Merged Gauge-Satellite Rainfall Anomaly 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 Oct 2025 - 2400 5 Nov 2025)] N= 1542 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.5375E) to (30.9375E) by 0.03750002 N= 65 pts :grid
Other Info
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 6.63145596216231×10-07 meter radian-1 east second-1
- history
- $partialdiff sub X$ $partialdiff sub T$ root mean sq anom [ Rwanda ENACTS rfe_merged rfe_mergeddiff ]
- Averaged over T2[0.5, 1116.5] minimum 0.0% data present
Averaged over Y[2.98125S, 1.03125S] minimum 0.0% data present
Last updated: Wed, 12 Nov 2025 09:00:00 GMT
Expires: Fri, 21 Nov 2025 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