served from maproom.meteorwanda.gov.rw
max ∂Y ∫dT [ Rwanda ENACTS rfe_merged rfe_merged climatology ] : ∂Y Merged Gauge-Satellite Rainfall data
Rwanda ENACTS rfe_merged rfe_merged rfe_merged int_dT partial_Y ∂Y Merged Gauge-Satellite Rainfall from SOURCES: the IRI/LDEO collection of climate data.Independent Variables (Grids)
- Time
- grid: /T (months since 1960-01-01) ordered (2359 30 Dec 1959) to (2359 30 Dec 1960) by 0.3333331 N= 37 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
- colorscalename
- cmorph_dekad_colors
- CS
- null
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- units
- 0.00477464829275686 meter radian-1 north year
- history
- max $partialdiff sub Y$ $integral dT$ [ Rwanda ENACTS rfe_merged rfe_merged climatology ]
- Averaged over T2[1983, 2357 30 Dec 2022 - 2357 30 Dec 2023] minimum 0.0% data present
max over X[28.51875E, 30.95625E]
- Averaged over T2[1983, 2357 30 Dec 2022 - 2357 30 Dec 2023] minimum 0.0% data present
Last updated: Mon, 21 Oct 2024 13:35:50 GMT
Expires: Fri, 01 Nov 2024 00:00:00 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| T | Y | |
 max $partialdiff sub Y$ $integral dT$ [ Rwanda ENACTS rfe_merged rfe_merged climatology ] [ Y T |] | 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 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