root mean sq ∫dX ∂Y [ Rwanda ENACTS rainfall rfe ] : ∂Y Merged Station-Satellite Rainfall data
Rwanda ENACTS rainfall rfe partial_Y partial_Y int_dX
∂Y Merged Station-Satellite Rainfall from SOURCES: the IRI/LDEO collection of climate data.
Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 1981) (11-20 Jan 1981) (21-31 Jan 1981) ... (21-31 Dec 2023)] N= 1548 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- missing_value
- NaN
- units
- mm
- standard units*
- 0.001 meter
- history
- Averaged over X[28.51875E, 30.99375E] Y[2.94375S, 1.06875S] minimum 0.0% data present
Last updated: Wed, 26 Jun 2024 16:53:08 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 T
- Differentiate along T
- Take differences along T
Average over
T
|
RMS (root mean square with mean *not* removed) over
T
|
RMSA (root mean square with mean removed) over
T
|
Maximum over
T
|
Minimum over
T
|
Detrend (best-fit-line) over
T
|
Note on units