∂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_T 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 [ (1328 13 Jan - 2104 23 Jan) (1328 13 Jan - 2104 23 Jan) (0431 8 Feb - 0304 18 Feb) (0304 18 Feb - 1800 22 Feb) (0304 18 Feb - 1800 22 Feb) (1800 22 Feb - 1504 1 Mar) (1504 1 Mar - 0431 11 Mar) (0431 11 Mar - 2104 23 Mar) (1928 5 Apr - 1200 13 Apr) (1200 13 Apr - 2400 20 Apr) (1200 13 Apr - 2400 20 Apr) (21-30 Apr) (0000 1 May - 0128 11 May) (0128 11 May - 2104 23 May) (1928 5 Jun - 1200 13 Jun) (1200 13 Jun - 2400 20 Jun) (1200 13 Jun - 2400 20 Jun) (21-30 Jun) (0000 1 Jul - 0128 11 Jul) (0128 11 Jul - 2055 23 Jul) (1928 5 Aug - 1328 13 Aug) (1928 5 Aug - 1328 13 Aug) (1328 13 Aug - 2104 23 Aug) (1928 5 Sep - 1200 13 Sep) (1200 13 Sep - 2400 20 Sep) (1200 13 Sep - 2400 20 Sep) (21-30 Sep) (0000 1 Oct - 0128 11 Oct) (0128 11 Oct - 2104 23 Oct) (1928 5 Nov - 1200 13 Nov) (1200 13 Nov - 2400 20 Nov) (1200 13 Nov - 2400 20 Nov) (21-30 Nov) (0000 1 Dec - 0128 11 Dec) (0128 11 Dec - 2104 23 Dec) (1328 13 Jan - 2104 23 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
Last updated: Wed, 26 Jun 2024 17:08:06 GMT
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
Average over
Y
T
|
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