served from maproom.meteorwanda.gov.rw
root mean sq anom root mean sq detrended-bfl ∂X [ Rwanda ENACTS rainfall rfe ] : ∂X Merged Station-Satellite Rainfall data
Rwanda ENACTS rainfall rfe partial_X adif adif ∂X Merged Station-Satellite Rainfall from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- 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
- units
- 0.0572957795130823 meter radian-1 east
- history
- root mean sq anom root mean sq detrended-bfl $partialdiff sub X$ [ Rwanda ENACTS rainfall rfe ]
- Averaged over T[2030 26 Dec 1980 - 2400 5 Jan 1981, 1344 31 Dec 2023] minimum 0.0% data present
Averaged over X[28.55625E, 30.95625E] minimum 0.0% data present
- Averaged over T[2030 26 Dec 1980 - 2400 5 Jan 1981, 1344 31 Dec 2023] minimum 0.0% data present
Last updated: Wed, 26 Jun 2024 16:53:08 GMT
Data Views
Views
line plots
color bars
scatter| Y | |
 root mean sq anom root mean sq detrended-bfl $partialdiff sub X$ [ Rwanda ENACTS rainfall rfe ] [ Y |] | M |
|---|
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
- Differentiate along Y
- Take differences along Y
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units