∂X root mean sq anom ∂T [ Rwanda ENACTS rainfall rfe climatology ] : ∂X ∂T Merged Station-Satellite Rainfall data
Rwanda ENACTS rainfall rfe rfe partial_T partial_T
∂X ∂T Merged Station-Satellite Rainfall from SOURCES: the IRI/LDEO collection of climate data.
Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.55625E) to (30.95625E) by 0.03750002 N= 65 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.9625S) to (1.05S) by 0.0375 N= 52 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- missing_value
- NaN
- units
- 0.687549354156988 meter radian-1 east year-1
- history
- $partialdiff sub X$ root mean sq anom $partialdiff sub T$ [ Rwanda ENACTS rainfall rfe climatology ]
- Averaged over T2[1981, 2357 30 Dec 2020 - 2357 30 Dec 2021] minimum 0.0% data present
Averaged over T[0000 26 Dec - 0000 6 Jan, 0000 26 Dec - 0000 6 Jan] minimum 0.0% data present
Last updated: Mon, 24 Jul 2023 12:32:12 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