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Ethiopia CPT NextGen ONDJ_PRCP Models CanSIPSv2 Forecasts Forecast: forecast data
Forecast forecast from Ethiopia CPT NextGen ONDJ_PRCP Models CanSIPSv2 Forecasts: Forecast and Error.Independent Variables (Grids)
- S (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (Sep 2019 - Aug 2020) to (Sep 2024 - Aug 2025) by 12.0 N= 6 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (32.625E) to (48.375E) by 0.25 N= 64 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.625N) to (14.875N) by 0.25 N= 46 pts :grid
Other Info
- bufferwordsize
- 4
- CE
- null
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- mm /month
- standard units*
- 0.012 meter year-1
Last updated: Wed, 01 Feb 2023 14:07:40 GMT
Expires: Tue, 01 Sep 2026 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 | |
 Ethiopia CPT NextGen ONDJ_PRCP Models CanSIPSv2 Forecasts Forecast[ X Y | S] | 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