served from maproom.meteorwanda.gov.rw
∂T ∫dT ∂T [ Rwanda ENACTS rainfall rfe ] : ∂T ∂T Merged Station-Satellite Rainfall data
Rwanda ENACTS rainfall rfe partial_T int_dT partial_T ∂T ∂T Merged Station-Satellite Rainfall from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (6-15 Jan 1981) (0000 16 Jan 1981 - 1200 26 Jan 1981) (1200 26 Jan 1981 - 2400 5 Feb 1981) ... (0000 16 Dec 2023 - 1200 26 Dec 2023)] N= 1547 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.55625E) to (30.95625E) by 0.03750002 N= 65 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.9625S) to (1.05S) by 0.0375 N= 52 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- missing_value
- NaN
- units
- mm /day
- standard units*
- 1.15740740740741×10-08 meter second-1
Last updated: Wed, 26 Jun 2024 16:53:08 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub T$ $integral dT$ $partialdiff sub T$ [ Rwanda ENACTS rainfall rfe ] [ 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