Data Library detrended-bfl detrended-bfl ∂X ∫dX [ OLE2 CPT ESCENARIO1 PROBABILIDADESWETDAYS ]
X118W - 28W
Y63S - 33N
L2.5 months
SJan 2000 - Nov 2025
served from 129.236.110.25

detrended-bfl detrended-bfl ∂X ∫dX [ OLE2 CPT ESCENARIO1 PROBABILIDADESWETDAYS ] : ∂X Probabilidades -Días Lluviosos data

detrended-bfl detrended-bfl ∂X ∫dX [ OLE2 CPT ESCENARIO1 PROBABILIDADESWETDAYS ] .

Independent Variables (Grids)

Forecast Lead Time in Months
grid: /L (months) ordered [ (2.5)] :grid
Hecho en (forecast_reference_time)
grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2000) to (0000 1 Dec 2025) by 1.0 N= 312 pts :grid
Longitude (longitude)
grid: /X (degree_east) ordered (117.75W) to (28.25W) by 0.5 N= 180 pts :grid
Latitud (latitude)
grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid

Other Info

bufferwordsize
8
CE
null
colorscalename
halfgreyscale
CS
null
datatype
doublearraytype
file_missing_value
0
fnname
maskle
maxncolor
254
missing_value
NaN
pointwidth
0
units
ids degree_east /degree_east
history
[ dominant_class ( OLE2 CPT ESCENARIO1 WETDAY Sobre la Normal ) + masklt ( { [ dominant_class ( OLE2 CPT ESCENARIO1 WETDAY ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( OLE2 CPT ESCENARIO1 WETDAY Normal ) + masknotrange ( { [ dominant_class ( OLE2 CPT ESCENARIO1 WETDAY ) - 1. ] * 11. } , 10 , 12 ) ]
dominant_class [ OLE2 CPT ESCENARIO1 WETDAY Sobre la Normal ] + masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 WETDAY ] - 1. } * 11. ) , 22 ]
dominant_class [ OLE2 CPT ESCENARIO1 WETDAY Sobre la Normal ]
dominant_class over WETDAY[<35, >80]
masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 WETDAY ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
dominant_class [ OLE2 CPT ESCENARIO1 WETDAY Normal ] + masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO1 WETDAY ] - 1. } * 11. ) , 10 , 12 ]
dominant_class [ OLE2 CPT ESCENARIO1 WETDAY Normal ]
dominant_class over WETDAY[<35, >80]
masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO1 WETDAY ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]
dominant_class [ OLE2 CPT ESCENARIO1 WETDAY Bajo la Normal ] + maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 WETDAY ] - 1. } * 11. ) , 0 ]
dominant_class [ OLE2 CPT ESCENARIO1 WETDAY Bajo la Normal ]
dominant_class over WETDAY[<35, >80]
maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 WETDAY ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]

Last updated: Sat, 06 Dec 2025 07:30:02 GMT
Expires: Mon, 05 Jan 2026 00:00:00 GMT

Data Views

LSXY
OLE2 CPT ESCENARIO1[ ]
grid: /X (degree_east) ordered (117.75W) to (28.25W) by 0.5 N= 180 pts :gridM
grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :gridM
grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2000) to (0000 1 Dec 2025) by 1.0 N= 312 pts :gridM
[ 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 degree_east/degree_east to

Note on units