served from maproom.metmalawi.gov.mw
Malawi Forecasts NextGen Models CanSIPSv2 History InputObs: input observations data
input observations from Malawi Forecasts NextGen Models CanSIPSv2 History: Predictand, Hindcast and Skill.Independent Variables (Grids)
- S
- grid: /S (months since 1960-01-01) ordered (0000 1 Jan 1982) to (0000 1 Dec 2010) by 1.0 N= 348 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (32.1E) to (35.85E) by 0.25 N= 16 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (17.9S) to (8.15S) by 0.25 N= 40 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- null
- colorscalename
- precip_colors
- CS
- 0
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- -999.0
- pointwidth
- 0
- scale_min
- 0.0
- units
- mm
- standard units*
- 0.001 meter
Last updated: Thu, 02 Nov 2023 13:29:44 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| S | X | Y | |
 Malawi Forecasts NextGen Models CanSIPSv2 History InputObs[ S | X Y] | 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 S X Y
- Differentiate along S X Y
- Take differences along S X Y
RMS (root mean square with mean *not* removed) over S X Y | S X S Y X Y | S X Y |
RMSA (root mean square with mean removed) over S X Y | S X S Y X Y | S X Y |
Maximum over S X Y | S X S Y X Y | S X Y |
Minimum over S X Y | S X S Y X Y | S X Y |
Detrend (best-fit-line) over S X Y | S X S Y X Y | S X Y |
Note on units