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∫dX [ Ethiopia CPT NextGen MAM_PRCP Somali Models NASA-GEOSS2S Forecasts mu ]: forecast data
mu forecast from Ethiopia CPT NextGen MAM_PRCP Somali 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 Jan 1983) to (0000 1 May 2025) by 1.0 N= 509 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (35E) to (49E) by 0.25 N= 57 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.125N) to (11.875N) by 0.25 N= 36 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- 0
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- 0.00020943951023932 meter radian east year-1
Last updated: Fri, 27 Jan 2023 13:17:09 GMT
Expires: Sat, 07 Jun 2025 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| S | X | Y | |
 $integral dX$ [ Ethiopia CPT NextGen MAM_PRCP Somali Models NASA-GEOSS2S Forecasts mu ][ 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