detrended-bfl ∂T mean ∂T [ Rwanda Dekad climatologies rfe ] : ∂T ∂T Rainfall Dekad Climatology 1981-2010 data
Rwanda Dekad climatologies rfe partial_T partial_T 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 [ (0000 11 Jan - 0304 16 Jan) (0000 11 Jan - 0304 16 Jan) (1032 24 Dec - 1327 8 Jan) (1504 29 Dec - 0904 3 Jan) (1800 29 Dec - 0600 3 Jan) (1800 29 Dec - 0600 3 Jan) (0904 27 Dec - 1504 5 Jan) (0127 27 Dec - 2232 5 Jan) (1927 26 Dec - 0432 6 Jan) (1200 29 Dec - 1200 3 Jan) (1200 29 Dec - 1200 3 Jan) (27 Dec - 5 Jan) (27 Dec - 5 Jan) (2232 26 Dec - 0127 6 Jan) (1927 26 Dec - 0432 6 Jan) (1200 29 Dec - 1200 3 Jan) (1200 29 Dec - 1200 3 Jan) (27 Dec - 5 Jan) (27 Dec - 5 Jan) (2232 26 Dec - 0127 6 Jan) (1927 26 Dec - 0432 6 Jan) (1032 29 Dec - 1327 3 Jan) (1032 29 Dec - 1327 3 Jan) (1927 26 Dec - 0432 6 Jan) (1200 29 Dec - 1200 3 Jan) (1200 29 Dec - 1200 3 Jan) (27 Dec - 5 Jan) (27 Dec - 5 Jan) (2232 26 Dec - 0127 6 Jan) (1927 26 Dec - 0432 6 Jan) (1200 29 Dec - 1200 3 Jan) (1200 29 Dec - 1200 3 Jan) (27 Dec - 5 Jan) (27 Dec - 5 Jan) (2232 26 Dec - 0127 6 Jan) (0000 11 Jan - 0304 16 Jan)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.94375S) to (1.06875S) by 0.03750001 N= 51 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 1.33959190672154×10-13 meter second-2
- history
- detrended-bfl $partialdiff sub T$ mean $partialdiff sub T$ [ Rwanda Dekad climatologies rfe ]
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Averaged over X[28.5375E, 30.975E] 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