served from maproom.metmalawi.gov.mw
Malawi Forecasts NextGen Models NASA-GEOSS2S Forecasts PredErrorVars: prediction error variance data
prediction error variance from Malawi Forecasts NextGen Models NASA-GEOSS2S Forecasts: Forecast and Error.Independent Variables (Grids)
- Start time (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Aug 2020) to (0000 1 Sep 2020) N= 2 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
- rainbowcolorscale
- CS
- 0
- datatype
- realarraytype
- maxncolor
- 256
- missing_value
- -999.0
- pointwidth
- 0
- scale_min
- 0.0
- units
- mm2 /day2
- standard units*
- 1.33959190672154×10-16 meter2 second-2
Last updated: Thu, 02 Nov 2023 13:29:44 GMT
Expires: Tue, 12 Dec 2023 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| S | X | Y | |
 Malawi Forecasts NextGen Models NASA-GEOSS2S Forecasts PredErrorVars[ X Y | S] | 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 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