∂T mean ∂T [ Rwanda Dekad climatologies rfe ] : ∂T ∂T Rainfall Dekad Climatology 1981-2010 data
Rwanda Dekad climatologies rfe rfe partial_T partial_T partial_T partial_T
∂T ∂T Rainfall Dekad Climatology 1981-2010 from SOURCES: the IRI/LDEO collection of climate data.
Independent Variables (Grids)
- Time
- grid: /T (days since 1981-01-01) (365) periodic [ (0304 16 Jan - 2312 28 Jan) (2312 28 Jan - 1415 15 Feb) (1415 15 Feb - 1632 22 Feb) (1632 22 Feb - 2400 24 Feb) (0000 25 Feb - 0727 27 Feb) (0727 27 Feb - 0944 6 Mar) (0944 6 Mar - 1327 26 Mar) (1327 26 Mar - 1112 13 Apr) (1112 13 Apr - 2400 15 Apr) (0000 16 Apr - 1200 18 Apr) (1200 18 Apr - 2400 25 Apr) (0000 26 Apr - 0047 6 May) (0047 6 May - 1200 26 May) (1200 26 May - 1119 13 Jun) (1119 13 Jun - 2400 15 Jun) (0000 16 Jun - 1200 18 Jun) (1200 18 Jun - 2400 25 Jun) (0000 26 Jun - 0047 6 Jul) (0047 6 Jul - 2312 23 Jul) (2312 23 Jul - 2104 5 Aug) (2104 5 Aug - 1032 8 Aug) (1032 8 Aug - 1112 26 Aug) (1112 26 Aug - 1119 13 Sep) (1119 13 Sep - 2400 15 Sep) (0000 16 Sep - 1200 18 Sep) (1200 18 Sep - 2400 25 Sep) (0000 26 Sep - 0047 6 Oct) (0047 6 Oct - 1200 26 Oct) (1200 26 Oct - 1112 13 Nov) (1112 13 Nov - 2400 15 Nov) (0000 16 Nov - 1200 18 Nov) (1200 18 Nov - 2400 25 Nov) (0000 26 Nov - 0047 6 Dec) (0047 6 Dec - 0215 29 Dec) (0215 29 Dec - 0304 16 Jan) (0304 16 Jan)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.9625S) to (1.05S) by 0.0375 N= 52 pts :grid
Other Info
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.33959190672154×10-13 meter second-2
- history
- $partialdiff sub T$ mean $partialdiff sub T$ [ Rwanda Dekad climatologies rfe ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over X[28.51875E, 30.99375E] minimum 0.0% data present
Last updated: Wed, 26 Jun 2024 16:53:08 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