served from maproom.meteorwanda.gov.rw
mean ∂T ∫dT [ Rwanda Daily tmin ] : ∂T Tmin merged station-reanalysis data
Rwanda Daily tmin int_dT int_dT partial_T ∂T Tmin merged station-reanalysis from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Time (time)
- grid: /T (julian_day) ordered (1200 1 Jan 1983 - 1200 2 Jan 1983) to (1200 30 Dec 2023 - 1200 31 Dec 2023) by 1.0 N= 14974 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.9625S) to (1.05S) by 0.0375 N= 52 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99
- missing_value
- NaN
- pointwidth
- 1.0
- units
- degree_Celsius
- standard units*
- degree_Kelvin
- history
- Averaged over X[28.51875E, 30.99375E] minimum 0.0% data present
Last updated: Tue, 29 Oct 2024 12:57:48 GMT
Data Views
Views
data as colors
data as contours| T | Y | |
 doc[] | ||
 mean $partialdiff sub T$ $integral dT$ [ Rwanda Daily tmin ] [ Y | T] | M | M |
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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