served from map.meteomadagascar.mg
∫dY [ Forecast Seasonal NextGen Madagascar_South DJF PRCP var ]: Variance of forecast distribution data
∫dY [ Forecast Seasonal NextGen Madagascar_South DJF PRCP var ].Independent Variables (Grids)
- Dummy lead time; do not use
- grid: /L (months) ordered [ (0.0)] :grid
- Issue Date
- grid: /S (months since 1960-01-01) ordered (0000 1 Sep 1982) to (0000 1 Nov 2021) by 1.0 N= 471 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (42.525E) to (48.975E) by 0.03749998 N= 173 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (26.00625S) to (20.00625S) by 0.03749999 N= 161 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- missing_value
- NaN
- pointwidth
- 0
- units
- 2.51327412287183×10-06 meter2 radian north year-2
Last updated: Fri, 19 Apr 2024 02:55:38 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| L | S | X | Y | |
 $integral dY$ [ Forecast Seasonal NextGen Madagascar_South DJF PRCP var ] 0.0 months[ X Y | S L] | 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