served from maproom.meteorwanda.gov.rw
mean ∂T ∂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 ∂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 [ (1327 13 Jan - 2104 23 Jan) (1327 13 Jan - 2104 23 Jan) (0432 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 - 0432 11 Mar) (0432 11 Mar - 2104 23 Mar) (1927 5 Apr - 1200 13 Apr) (1200 13 Apr - 2400 20 Apr) (1200 13 Apr - 2400 20 Apr) (21-30 Apr) (0000 1 May - 0127 11 May) (0127 11 May - 2104 23 May) (1927 5 Jun - 1200 13 Jun) (1200 13 Jun - 2400 20 Jun) (1200 13 Jun - 2400 20 Jun) (21-30 Jun) (0000 1 Jul - 0127 11 Jul) (0127 11 Jul - 2055 23 Jul) (1927 5 Aug - 1327 13 Aug) (1927 5 Aug - 1327 13 Aug) (1327 13 Aug - 2104 23 Aug) (1927 5 Sep - 1200 13 Sep) (1200 13 Sep - 2400 20 Sep) (1200 13 Sep - 2400 20 Sep) (21-30 Sep) (0000 1 Oct - 0127 11 Oct) (0127 11 Oct - 2104 23 Oct) (1927 5 Nov - 1200 13 Nov) (1200 13 Nov - 2400 20 Nov) (1200 13 Nov - 2400 20 Nov) (21-30 Nov) (0000 1 Dec - 0127 11 Dec) (0127 11 Dec - 2104 23 Dec) (1327 13 Jan - 2104 23 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
- mean $partialdiff sub T$ $partialdiff sub T$ [ 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
- Averaged over T2[0.5, 1080.5] minimum 0.0% data present
Last updated: Wed, 26 Jun 2024 16:53:08 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars
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