Data Library OLE2 CPT ESCENARIO1 PROBABILIDADESWETDAYS
X118W - 28W
Y63S - 33N
L2.5 months
SJan 2000 - Nov 2024
served from 129.236.110.25

OLE2 CPT ESCENARIO1 PROBABILIDADESWETDAYS: Probabilidades -Días Lluviosos data

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 2024) by 1.0 N= 300 pts :grid
Longitud (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

Key
1.0<35 Bajo
2.035-40 Bajo
3.040-45 Bajo
4.045-50 Bajo
5.050-55 Bajo
6.055-60 Bajo
7.060-65 Bajo
8.065-70 Bajo
9.070-75 Bajo
10.075-80 Bajo
11.0>80 Bajo
12.0<35 Normal
13.035-40 Normal
14.040-45 Normal
15.045-50 Normal
16.050-55 Normal
17.055-60 Normal
18.060-65 Normal
19.065-70 Normal
20.070-75 Normal
21.075-80 Normal
22.0>80 Normal
23.0<35 Sobre
24.035-40 Sobre
25.040-45 Sobre
26.045-50 Sobre
27.050-55 Sobre
28.055-60 Sobre
29.060-65 Sobre
30.065-70 Sobre
31.070-75 Sobre
32.075-80 Sobre
33.0>80 Sobre
bufferwordsize
4
CE
33
colorscalename
halfgreyscale
CS
1
datatype
realarraytype
file_missing_value
0
fnname
maskle
maxncolor
254
missing_value
NaN
pointwidth
0
scale_max
33.0
scale_min
1.0
units
ids
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]
colorscale

Last updated: Fri, 06 Dec 2024 07:30:01 GMT
Expires: Sun, 05 Jan 2025 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 2024) by 1.0 N= 300 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 to

Note on units