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∂T mean ∂T ∂Y [ Rwanda Dekad climatologies tmax ] : ∂T ∂T ∂Y Tmax Dekad Climatology 1983-2014 data
Rwanda Dekad climatologies tmax partial_Y partial_Y partial_Y partial_T partial_T partial_T ∂T ∂T ∂Y Tmax 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 [ (0304 16 Jan) (0304 16 Jan - 1928 10 Feb) (1928 10 Feb - 0904 20 Feb) (0904 20 Feb - 2400 24 Feb) (0000 25 Feb) (0000 25 Feb - 1504 1 Mar) (1504 1 Mar - 0431 11 Mar) (0431 11 Mar - 2231 10 Apr) (2231 10 Apr - 2400 15 Apr) (0000 16 Apr) (16-20 Apr) (21-30 Apr) (0000 1 May - 0128 11 May) (0128 11 May - 2231 10 Jun) (2231 10 Jun - 2400 15 Jun) (0000 16 Jun) (16-20 Jun) (21-30 Jun) (0000 1 Jul - 0128 11 Jul) (0128 11 Jul - 2104 5 Aug) (2104 5 Aug) (2104 5 Aug - 2400 10 Aug) (0000 11 Aug - 2231 10 Sep) (2231 10 Sep - 2400 15 Sep) (0000 16 Sep) (16-20 Sep) (21-30 Sep) (0000 1 Oct - 0128 11 Oct) (0128 11 Oct - 2231 10 Nov) (2231 10 Nov - 2400 15 Nov) (0000 16 Nov) (16-20 Nov) (21-30 Nov) (0000 1 Dec - 0128 11 Dec) (0128 11 Dec - 0304 16 Jan) (0304 16 Jan)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.925S) to (1.075S) by 0.04999999 N= 38 pts :grid
Other Info
- CE
- null
- colorscalename
- rainbowcolorscale
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9999
- maxncolor
- 256
- missing_value
- NaN
- units
- DegC /degree_north /days /days
- history
- $partialdiff sub T$ mean $partialdiff sub T$ $partialdiff sub Y$ [ Rwanda Dekad climatologies tmax ]
- Averaged over T2[0.5, 1152.5] minimum 0.0% data present
Averaged over X[28.5E, 31E] 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
data as colors
data as contours
line plots
color bars| T | Y | |
 $partialdiff sub T$ mean $partialdiff sub T$ $partialdiff sub Y$ [ Rwanda Dekad climatologies tmax ] [ Y | T] | 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 Y T
- Differentiate along Y T
- Take differences along Y T
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |
Note on units