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root mean sq anom [ Ethiopia CPT NextGen ONDJ_PRCP Models CanSIPSv2 Forecasts Prob ]: Tercile Forecast data
Prob Tercile Forecast from Ethiopia CPT NextGen ONDJ_PRCP Models CanSIPSv2 Forecasts: Forecast and Error.Independent Variables (Grids)
- Tercile Categories
- grid: /C (ids) unordered [ (Below) (Normal) (Above)] :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
- 8
- CE
- null
- colorscalename
- tercileclassesscale
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -1.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- units
- percent
- standard units*
- 0.01
- history
- Averaged over S[0000 1 Sep 2019, 0000 1 Sep 2025] minimum 0.0% data present
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
line plots
color bars| C | X | Y | |
 root mean sq anom [ Ethiopia CPT NextGen ONDJ_PRCP Models CanSIPSv2 Forecasts Prob ][ X Y C |] | 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 C
- Differentiate along X Y C
- Take differences along X Y C
RMS (root mean square with mean *not* removed) over X Y C | X Y X C Y C | X Y C |
RMSA (root mean square with mean removed) over X Y C | X Y X C Y C | X Y C |
Maximum over X Y C | X Y X C Y C | X Y C |
Minimum over X Y C | X Y X C Y C | X Y C |
Detrend (best-fit-line) over X Y C | X Y X C Y C | X Y C |
Note on units