served from maproom.meteorwanda.gov.rw
Rwanda CPT NextGen 0p25 NextGen Forecast Forecast: Forecast data
Forecast from Rwanda CPT NextGen 0p25 NextGen Forecast: Forecast and Error.Independent Variables (Grids)
- Forecast Lead Time in Months
- grid: /L (months) ordered [ (2.5)] :grid
- Made of (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Nov 2019) to (0000 1 May 2024) by 1.0 N= 55 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.125E) to (30.875E) by 0.25 N= 12 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (1.125S) to (2.875S) by 0.25 N= 8 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- -999.0
- pointwidth
- 0
- units
- mm
- standard units*
- 0.001 meter
- history
- Averaged in T with overlapping interval 3
Last updated: Fri, 13 Dec 2019 13:14:14 GMT
Expires: Thu, 09 Jan 2020 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
line plots
color bars| L | S | X | Y | |
 Rwanda CPT NextGen 0p25 NextGen Forecast Forecast 2.5 months[ X Y | L S] | M | 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 S
- Differentiate along X Y S
- Take differences along X Y S
RMS (root mean square with mean *not* removed) over X Y S | X Y X S Y S | X Y S |
RMSA (root mean square with mean removed) over X Y S | X Y X S Y S | X Y S |
Maximum over X Y S | X Y X S Y S | X Y S |
Minimum over X Y S | X Y X S Y S | X Y S |
Detrend (best-fit-line) over X Y S | X Y X S Y S | X Y S |
Note on units