served from maproom.meteorwanda.gov.rw
∂T [ Rwanda Dekad climatologies temp ]: ∂T Average Temperature Dekad Climatology 1983-2014 data
Rwanda Dekad climatologies temp ∂T Average Temperature Dekad Climatology 1983-2014 from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Time
- grid: /T (days since 1983-01-01) (365) periodic [ (6-15 Jan) (6-15 Jan) (0000 16 Jan - 1200 26 Jan) (6-15 Feb) (16-24 Feb) (16-24 Feb) (25 Feb - 5 Mar) (6-15 Mar) (0000 16 Mar - 1200 26 Mar) (6-15 Apr) (6-15 Apr) (16-25 Apr) (26 Apr - 5 May) (6-15 May) (0000 16 May - 1200 26 May) (6-15 Jun) (6-15 Jun) (16-25 Jun) (26 Jun - 5 Jul) (6-15 Jul) (0000 16 Jul - 1200 26 Jul) (6-15 Aug) (6-15 Aug) (0000 16 Aug - 1200 26 Aug) (6-15 Sep) (6-15 Sep) (16-25 Sep) (26 Sep - 5 Oct) (6-15 Oct) (0000 16 Oct - 1200 26 Oct) (6-15 Nov) (6-15 Nov) (16-25 Nov) (26 Nov - 5 Dec) (6-15 Dec) (0000 16 Dec - 1200 26 Dec)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.525E) to (30.975E) by 0.05000002 N= 50 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.975S) to (1.025S) by 0.05 N= 40 pts :grid
Other Info
- CE
- null
- colorscalename
- rainbowcolorscale
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9999
- maxncolor
- 256
- missing_value
- NaN
- units
- DegC /days
- history
- Averaged over T2[0.5, 1152.5] minimum 0.0% data present
Last updated: Mon, 24 Jul 2023 09:44:29 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub T$ [ Rwanda Dekad climatologies temp ][ X Y | T] | M | M | M |
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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 Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units