served from maproom.meteorwanda.gov.rw
∫dT ∫dX [ Rwanda Daily tmin ] : Tmin merged station-reanalysis data
Rwanda Daily tmin int_dX int_dX int_dX Tmin merged station-reanalysis from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Time (time)
- grid: /T (julian_day) ordered (0000 1 Jan 1983) to (0000 1 Jan 2024) by 1.0 N= 14976 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.5375E) to (30.975E) by 0.0375 N= 66 pts :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
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -99
- missing_value
- NaN
- pointwidth
- 1.0
- units
- 1507.9644737231 degree_Kelvin radian east second
Last updated: Tue, 29 Oct 2024 12:57:48 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 doc[] | |||
 $integral dT$ $integral dX$ [ Rwanda Daily tmin ] [ X Y | T] | M | M | M |
|---|
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 X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units