served from 181.199.253.14

detrended-bfl [ Hydromet Seasonal_Forecast Precipitation Forecast DomTerProb ]: Dominant Tercile Probabilities data

DomTerProb adif Dominant Tercile Probabilities from Hydromet Seasonal_Forecast Precipitation Forecast: Forecast, Error and Skill.

Independent Variables (Grids)

Forecast Lead Time in Months
grid: /L (months) ordered [ (2.5)] :grid
Forecast Issue Date (forecast_reference_time)
grid: /S (months since 1960-01-01) ordered (0000 1 Apr 2019) to (0000 1 Aug 2021) by 1.0 N= 29 pts :grid
Longitude (longitude)
grid: /X (degree_east) ordered (61.525W) to (56.475W) by 0.05000003 N= 102 pts :grid
Latitude (latitude)
grid: /Y (degree_north) ordered (1.05N) to (8.5N) by 0.05 N= 150 pts :grid

Other Info

CE
null
colorscalename
tercileclassesscale
CS
null
datatype
realarraytype
file_missing_value
0
fnname
maskle
maxncolor
254
missing_value
NaN
pointwidth
0
units
ids
history
[ masklt ( { [ dominant_class ( Hydromet Seasonal_Forecast Precipitation Forecast TercProb ) - 1. ] * 11. } , 22 ) + dominant_class ( Hydromet Seasonal_Forecast Precipitation Forecast TercProb Above_Normal ) ] + [ masknotrange ( { [ dominant_class ( Hydromet Seasonal_Forecast Precipitation Forecast TercProb ) - 1. ] * 11. } , 10 , 12 ) + dominant_class ( Hydromet Seasonal_Forecast Precipitation Forecast TercProb Near_Normal ) ]
masklt [ ( { dominant_class [ Hydromet Seasonal_Forecast Precipitation Forecast TercProb ] - 1. } * 11. ) , 22 ] + dominant_class [ Hydromet Seasonal_Forecast Precipitation Forecast TercProb Above_Normal ]
masklt [ ( { dominant_class [ Hydromet Seasonal_Forecast Precipitation Forecast TercProb ] - 1. } * 11. ) , 22 ]
dominant_class over C[Below_Normal, Above_Normal]
dominant_class [ Hydromet Seasonal_Forecast Precipitation Forecast TercProb Above_Normal ]
dominant_class over TercProb[<35, >80]
masknotrange [ ( { dominant_class [ Hydromet Seasonal_Forecast Precipitation Forecast TercProb ] - 1. } * 11. ) , 10 , 12 ] + dominant_class [ Hydromet Seasonal_Forecast Precipitation Forecast TercProb Near_Normal ]
masknotrange [ ( { dominant_class [ Hydromet Seasonal_Forecast Precipitation Forecast TercProb ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Below_Normal, Above_Normal]
dominant_class [ Hydromet Seasonal_Forecast Precipitation Forecast TercProb Near_Normal ]
dominant_class over TercProb[<35, >80]
maskgt [ ( { dominant_class [ Hydromet Seasonal_Forecast Precipitation Forecast TercProb ] - 1. } * 11. ) , 0 ] + [ ( dominant_class { Hydromet Seasonal_Forecast Precipitation Forecast TercProb Below_Normal } * -1. ) + 12. ]
maskgt [ ( { dominant_class [ Hydromet Seasonal_Forecast Precipitation Forecast TercProb ] - 1. } * 11. ) , 0 ]
dominant_class over C[Below_Normal, Above_Normal]
[ dominant_class ( Hydromet Seasonal_Forecast Precipitation Forecast TercProb Below_Normal ) * -1. ] + 12.
dominant_class over TercProb[<35, >80]

Last updated: Fri, 12 Jan 2024 14:16:35 GMT
Expires: Fri, 09 Feb 2024 00:00:00 GMT

Data Views

LSXY
[ X Y | L S]MMMM


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. Average over X Y S | X Y X S Y S | 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 |
Convert units from ids to

Note on units