served from maproom.meteorwanda.gov.rw
root mean sq anom mean ∫dX ∂Y [ Rwanda Dekad climatologies tmax ] : ∂Y Tmax Dekad Climatology 1983-2014 data
Rwanda Dekad climatologies tmax partial_Y partial_Y int_dX int_dX ∂Y Tmax Dekad Climatology 1983-2014 from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.5E) to (31E) by 0.05 N= 51 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- rainbowcolorscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999
- maxncolor
- 256
- missing_value
- NaN
- units
- DegC /degree_north degree_east
- history
- mean $integral dX$ $partialdiff sub Y$ [ Rwanda Dekad climatologies tmax ]
- Averaged over T2[0.5, 1152.5] minimum 0.0% data present
Averaged over T[1-10 Jan, 2400 31 Dec] minimum 0.0% data present
root mean sq anom mean $integral dX$ $partialdiff sub Y$ [ Rwanda Dekad climatologies tmax ]- Averaged over Y[2.925S, 1.075S] minimum 0.0% data present
- Averaged over T2[0.5, 1152.5] minimum 0.0% data present
Last updated: Wed, 26 Jun 2024 17:08:06 GMT
Data Views
Views
line plots
color bars
scatter| X | |
 root mean sq anom mean $integral dX$ $partialdiff sub Y$ [ Rwanda Dekad climatologies tmax ] [ X |] | 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 X
- Differentiate along X
- Take differences along X
RMS (root mean square with mean *not* removed) over X |
RMSA (root mean square with mean removed) over X |
Maximum over X |
Minimum over X |
Detrend (best-fit-line) over X |
Note on units