root mean sq ∂T [ Rwanda Daily precip ] : ∂T Merged Station-Satellite Rainfall data
Rwanda Daily precip partial_T
∂T Merged Station-Satellite Rainfall from SOURCES: the IRI/LDEO collection of climate data.
Independent Variables (Grids)
- Time (time)
- grid: /T (julian_day) ordered (1200 1 Jan 1983 - 1200 2 Jan 1983) to (1200 30 Dec 2023 - 1200 31 Dec 2023) by 1.0 N= 14974 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.9625S) to (1.05S) by 0.0375 N= 52 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- missing_value
- NaN
- pointwidth
- 1.0
- units
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
- history
- Averaged over X[28.51875E, 30.99375E] minimum 0.0% data present
Last updated: Wed, 26 Jun 2024 17:09:37 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 Y
T
- Differentiate along Y
T
- Take differences along Y
T
Average over
Y
T
|
Y T
|
RMS (root mean square with mean *not* removed) over
Y
T
|
Y T
|
RMSA (root mean square with mean removed) over
Y
T
|
Y T
|
Maximum over
Y
T
|
Y T
|
Minimum over
Y
T
|
Y T
|
Detrend (best-fit-line) over
Y
T
|
Y T
|
Note on units