served from maproom.meteorwanda.gov.rw
∂T [ ∂X ∫dT ( Rwanda ENACTS temperatures tmax ) anomalies ]: ∂T ∂X Gridded Maximum Temperature data
Rwanda ENACTS temperatures tmax tmax int_dT partial_X partial_X ∂T ∂X Gridded Maximum Temperature from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) (360) ordered [ (27 Apr 1961 - 6 May 1961) (7-16 May 1961) (17-26 May 1961) ... (0001 16 Jun 2005 - 0001 27 Jun 2005)] N= 270 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.55E) to (30.95E) by 0.05000003 N= 49 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.95S) to (1.05S) by 0.05 N= 39 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9999
- missing_value
- NaN
- units
- DegC days /degree_east /days
- history
- Averaged over T2[26 Dec 1960 - 25 Dec 1961, 26 Dec 2022 - 25 Dec 2023] minimum 0.0% data present
Last updated: Wed, 26 Jun 2024 17:08:06 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 $partialdiff sub T$ [ $partialdiff sub X$ $integral dT$ ( Rwanda ENACTS temperatures tmax ) anomalies ][ X Y | T] | M | 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 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