∂T max [ ∂Y ( Rwanda Dekad climatologies tmax ) climatology ] : ∂T ∂Y Tmax Dekad Climatology 1983-2014 data
Rwanda Dekad climatologies tmax partial_Y partial_Y partial_Y max
∂T ∂Y Tmax Dekad Climatology 1983-2014 from SOURCES: the IRI/LDEO collection of climate data.
Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) periodic [ (2359 25 Dec - 2359 5 Jan) (2359 15 Jan - 2359 25 Jan) (2359 15 Jan - 2359 25 Jan) (2359 25 Jan - 2359 5 Feb) (2359 5 Feb - 2359 15 Feb) (2359 15 Feb - 2359 25 Feb) (2359 25 Feb - 2359 5 Mar) (2359 5 Mar - 2359 15 Mar) (2359 15 Mar - 2359 25 Mar) (2359 25 Mar - 2359 5 Apr) (2359 5 Apr - 2359 15 Apr) (2359 15 Apr - 2359 25 Apr) (2359 5 May - 2359 15 May) (2359 5 May - 2359 15 May) (2359 15 May - 2359 25 May) (2359 25 May - 2359 5 Jun) (2359 5 Jun - 2359 15 Jun) (2359 15 Jun - 2359 25 Jun) (2359 25 Jun - 2400 5 Jul) (6-15 Jul) (16-25 Jul) (26 Jul - 5 Aug) (0000 6 Aug - 0000 16 Aug) (0000 26 Aug - 0000 6 Sep) (0000 6 Sep - 0000 16 Sep) (0000 6 Sep - 0000 16 Sep) (0000 16 Sep - 0000 26 Sep) (0000 26 Sep - 0000 6 Oct) (0000 6 Oct - 0000 16 Oct) (0000 16 Oct - 0000 26 Oct) (0000 26 Oct - 0000 6 Nov) (0000 6 Nov - 0000 16 Nov) (0000 16 Nov - 0000 26 Nov) (0000 26 Nov - 0000 6 Dec) (0000 6 Dec - 0000 16 Dec) (0000 16 Dec - 0000 26 Dec)] :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 /months
- history
- $partialdiff sub Y$ [ 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
$partialdiff sub T$ max [ $partialdiff sub Y$ ( Rwanda Dekad climatologies tmax ) climatology ] - max over X[28.525E, 30.975E]
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