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Ethiopia CPT NextGen OND_PRCP Somali NextGen FbF pne: Probability of non-exceedence data
Probability of non-exceedence from Ethiopia CPT NextGen OND_PRCP Somali NextGen FbF: FbF products.Independent Variables (Grids)
- P
- grid: /P (percent) ordered (5.0 percent) to (95.0 percent) by 5.0 N= 19 pts :grid
- Start time (forecast_reference_time)
- grid: /S (months since 1960-01-01) ordered (0000 1 Jul 1982) to (0000 1 Jun 2025) by 1.0 N= 516 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (35.125E) to (48.875E) by 0.25 N= 56 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.125N) to (11.875N) by 0.25 N= 36 pts :grid
Other Info
- CE
- 100
- colorscalename
- correlationcolorscale
- CS
- 0
- datatype
- realarraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- pointwidth
- 0
- scale_max
- 100.0
- scale_min
- 0.0
- units
- percent
- standard units*
- 0.01
- history
- Ethiopia CPT NextGen OND_PRCP Somali NextGen [ Forecasts ( mu * -1. ) + ( History obs ) ]
percentiles computed over T:Oct 1982 - Dec 2009 0% min data present
- sqrt [ Ethiopia CPT NextGen OND_PRCP Somali NextGen Forecasts var ] * [ Ethiopia CPT NextGen OND_PRCP Somali NextGen Forecasts target_length ]
Averaged in T with overlapping interval 3
- Ethiopia CPT NextGen OND_PRCP Somali NextGen [ Forecasts ( mu * -1. ) + ( History obs ) ]
- colorscale
Last updated: Fri, 27 Jan 2023 13:17:09 GMT
Expires: Mon, 07 Jul 2025 00:00:00 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| P | S | X | Y | |
 Ethiopia CPT NextGen OND_PRCP Somali NextGen FbF pne[ P X Y | S] | M | 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 P X Y S
- Differentiate along P X Y S
- Take differences along P X Y S
RMS (root mean square with mean *not* removed) over P X Y S | P X P Y P S X Y X S Y S | P X Y P X S P Y S X Y S | P X Y S |
RMSA (root mean square with mean removed) over P X Y S | P X P Y P S X Y X S Y S | P X Y P X S P Y S X Y S | P X Y S |
Maximum over P X Y S | P X P Y P S X Y X S Y S | P X Y P X S P Y S X Y S | P X Y S |
Minimum over P X Y S | P X P Y P S X Y X S Y S | P X Y P X S P Y S X Y S | P X Y S |
Detrend (best-fit-line) over P X Y S | P X P Y P S X Y X S Y S | P X Y P X S P Y S X Y S | P X Y S |
Note on units