served from maproom.meteorwanda.gov.rw
mean min [ ∂Y ( Rwanda Dekad climatologies tmax ) anomalies ] : ∂Y Tmax Dekad Climatology 1983-2014 data
Rwanda Dekad climatologies tmax partial_Y partial_Y partial_Y min ∂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 (28.525E) to (30.975E) by 0.05000002 N= 50 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
- history
- $partialdiff sub Y$ [ Rwanda Dekad climatologies tmax ]
Averaged over T2[0.5, 1152.5] minimum 0.0% data present
- $partialdiff sub Y$ [ Rwanda Dekad climatologies tmax ] climatology
- Averaged over T2[0.5, 1152.5] minimum 0.0% data present
Averaged over T2=1983 minimum 0.0% data present
- Averaged over T2[0.5, 1152.5] minimum 0.0% data present
- min over T[0000-0800 6 Jan 1983, 0800-1600 30 Dec 1983]
mean min [ $partialdiff sub Y$ ( Rwanda Dekad climatologies tmax ) anomalies ]- Averaged over Y[2.95S, 1.05S] minimum 0.0% data present
- $partialdiff sub Y$ [ Rwanda Dekad climatologies tmax ]
Last updated: Wed, 26 Jun 2024 17:08:06 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 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