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∂T root mean sq ∂T ∂Y [ Rwanda Dekad climatologies tmax ] : ∂T ∂T ∂Y Tmax Dekad Climatology 1983-2014 data
Rwanda Dekad climatologies tmax 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 [ (0000 11 Jan - 0304 16 Jan) (0000 11 Jan - 0304 16 Jan) (1455 31 Jan - 1800 15 Feb) (1800 15 Feb - 1200 20 Feb) (1200 20 Feb - 2400 24 Feb) (1200 20 Feb - 2400 24 Feb) (0000 25 Feb - 0600 6 Mar) (0600 6 Mar - 0304 16 Mar) (1455 31 Mar - 2400 10 Apr) (11-15 Apr) (11-15 Apr) (16-25 Apr) (26 Apr - 5 May) (0000 6 May - 0304 16 May) (1504 31 May - 2400 10 Jun) (11-15 Jun) (11-15 Jun) (16-25 Jun) (26 Jun - 5 Jul) (0000 6 Jul - 0304 16 Jul) (1455 31 Jul - 2400 10 Aug) (0000 11 Aug - 0304 16 Aug) (0000 11 Aug - 0304 16 Aug) (1504 31 Aug - 2400 10 Sep) (11-15 Sep) (11-15 Sep) (16-25 Sep) (26 Sep - 5 Oct) (0000 6 Oct - 0304 16 Oct) (1455 31 Oct - 2400 10 Nov) (11-15 Nov) (11-15 Nov) (16-25 Nov) (26 Nov - 5 Dec) (0000 6 Dec - 0304 16 Dec) (0000 11 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
- $partialdiff sub T$ root mean sq $partialdiff sub T$ $partialdiff sub Y$ [ 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 | |
 $partialdiff sub T$ root mean sq $partialdiff sub T$ $partialdiff sub Y$ [ 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