served from maproom.meteorwanda.gov.rw
root mean sq anom ∂X [ Rwanda ET et ] : ∂X evapotranspiration data
et partial_X ∂X evapotranspiration from Rwanda ET: Hargreaves evapotranspiration climatology.Independent Variables (Grids)
- Latitude (latitude)
- grid: /Y (degree_north) ordered (1.05S) to (2.9625S) by 0.0375 N= 52 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- units
- 6.63145596216231×10-07 meter radian-1 east second-1
- history
- Averaged over X[28.55625E, 30.95625E] T[Jan, Dec]
Last updated: Thu, 11 Jan 2018 19:24:52 GMT
Data Views
Views
line plots
color bars
scatter
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