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detrended-bfl [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ]: Tercile Probabilities data
TercProb Tercile Probabilities from Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast: Forecast and Error.Independent Variables (Grids)
- Tercile Categories
- grid: /C (ids) unordered [ (Below_Normal) (Near_Normal) (Above_Normal)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (33E) to (48E) by 0.1 N= 151 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3N) to (15N) by 0.1 N= 121 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- colorscalename
- precip_colors
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -999.0
- maxncolor
- 254
- missing_value
- NaN
- units
- percent
- standard units*
- 0.01
- history
- percentiles computed over S:Jun 1982 - May 2016 0% min data present
Last updated: Wed, 01 Feb 2023 14:07:40 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts
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