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∫dY [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast DomTerProb ]: Dominant Tercile Probabilities data
DomTerProb Dominant Tercile Probabilities from Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast: Forecast and Error.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (33E) to (48E) by 0.1 N= 151 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.95N) to (15.05N) by 0.1 N= 122 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- 33
- colorscalename
- precip_colors
- CS
- 1
- datatype
- doublearraytype
- file_missing_value
- 0
- fnname
- maskle
- maxncolor
- 254
- missing_value
- NaN
- units
- ids degree_north
- history
- [ masklt ( { [ dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ) - 1. ] * 11. } , 22 ) + dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Above_Normal ) ] + [ masknotrange ( { [ dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ) - 1. ] * 11. } , 10 , 12 ) + dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Near_Normal ) ]
- masklt [ ( { dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ] - 1. } * 11. ) , 22 ] + dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Above_Normal ]
- masklt [ ( { dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ] - 1. } * 11. ) , 22 ]
- [ dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ) - 1. ] * 11.
- percentiles computed over S:Jun 1982 - May 2016 0% min data present
dominant_class over C[Below_Normal, Above_Normal]
- percentiles computed over S:Jun 1982 - May 2016 0% min data present
- [ dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ) - 1. ] * 11.
- dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Above_Normal ]
- percentiles computed over S:Jun 1982 - May 2016 0% min data present
dominant_class over TercProb[<35, >80]
- percentiles computed over S:Jun 1982 - May 2016 0% min data present
- masklt [ ( { dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ] - 1. } * 11. ) , 22 ]
- masknotrange [ ( { dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ] - 1. } * 11. ) , 10 , 12 ] + dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Near_Normal ]
- masknotrange [ ( { dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ] - 1. } * 11. ) , 10 , 12 ]
- [ dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ) - 1. ] * 11.
- percentiles computed over S:Jun 1982 - May 2016 0% min data present
dominant_class over C[Below_Normal, Above_Normal]
- percentiles computed over S:Jun 1982 - May 2016 0% min data present
- [ dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ) - 1. ] * 11.
- dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Near_Normal ]
- percentiles computed over S:Jun 1982 - May 2016 0% min data present
dominant_class over TercProb[<35, >80]
- percentiles computed over S:Jun 1982 - May 2016 0% min data present
- masknotrange [ ( { dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ] - 1. } * 11. ) , 10 , 12 ]
- masklt [ ( { dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ] - 1. } * 11. ) , 22 ] + dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Above_Normal ]
- maskgt [ ( { dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ] - 1. } * 11. ) , 0 ] + dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Below_Normal ]
- maskgt [ ( { dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ] - 1. } * 11. ) , 0 ]
- [ dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ) - 1. ] * 11.
- percentiles computed over S:Jun 1982 - May 2016 0% min data present
dominant_class over C[Below_Normal, Above_Normal]
- percentiles computed over S:Jun 1982 - May 2016 0% min data present
- [ dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ) - 1. ] * 11.
- dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Below_Normal ]
- percentiles computed over S:Jun 1982 - May 2016 0% min data present
dominant_class over TercProb[<35, >80]
- percentiles computed over S:Jun 1982 - May 2016 0% min data present
- maskgt [ ( { dominant_class [ Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ] - 1. } * 11. ) , 0 ]
- [ masklt ( { [ dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ) - 1. ] * 11. } , 22 ) + dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Above_Normal ) ] + [ masknotrange ( { [ dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb ) - 1. ] * 11. } , 10 , 12 ) + dominant_class ( Ethiopia CPT JJAS_2018_IRI total_rainfall Forecast TercProb Near_Normal ) ]
- colorscale
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
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units