served from maproom.meteorwanda.gov.rw
root mean sq ∂Y [ Rwanda Dekad climatologies tmax ] : ∂Y Tmax Dekad Climatology 1983-2014 data
Rwanda Dekad climatologies tmax partial_Y partial_Y partial_Y partial_Y partial_Y ∂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 [ (0304 16 Jan - 1200 26 Jan) (1200 26 Jan - 2104 5 Feb) (2104 5 Feb - 1800 15 Feb) (1800 15 Feb - 2400 24 Feb) (0000 25 Feb - 0600 6 Mar) (0600 6 Mar - 0304 16 Mar) (0304 16 Mar - 1200 26 Mar) (1200 26 Mar - 2104 5 Apr) (2104 5 Apr - 2400 15 Apr) (16-25 Apr) (26 Apr - 5 May) (0000 6 May - 0304 16 May) (0304 16 May - 1200 26 May) (1200 26 May - 2104 5 Jun) (2104 5 Jun - 2400 15 Jun) (16-25 Jun) (26 Jun - 5 Jul) (0000 6 Jul - 0304 16 Jul) (0304 16 Jul - 1200 26 Jul) (1200 26 Jul - 2104 5 Aug) (2104 5 Aug - 0304 16 Aug) (0304 16 Aug - 1200 26 Aug) (1200 26 Aug - 2104 5 Sep) (2104 5 Sep - 2400 15 Sep) (16-25 Sep) (26 Sep - 5 Oct) (0000 6 Oct - 0304 16 Oct) (0304 16 Oct - 1200 26 Oct) (1200 26 Oct - 2104 5 Nov) (2104 5 Nov - 2400 15 Nov) (16-25 Nov) (26 Nov - 5 Dec) (0000 6 Dec - 0304 16 Dec) (0304 16 Dec - 1200 26 Dec) (1200 26 Dec - 2104 5 Jan) (2104 5 Jan - 0304 16 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
- history
- root mean sq $partialdiff sub Y$ [ 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
- Averaged over T2[0.5, 1152.5] minimum 0.0% data present
Last updated: Wed, 26 Jun 2024 17:08:06 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