data: $integral dX$ max min [ S , min ( OLE2 CPT ESCENARIO1 PROPENSION ) ]

served from 129.236.110.25

∫dX max min [ S , min ( OLE2 CPT ESCENARIO1 PROPENSION ) ] : Hecho en, Propensión - Precipitación data

∫dX max min [ S , min ( OLE2 CPT ESCENARIO1 PROPENSION ) ] .

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (118W) to (28W) by 0.5 N= 181 pts :grid

Other Info

bufferwordsize

calendar

360

CE

null

CS

null

datatype

doublearraytype

fnname

min

gridid

175495832

missing_value

NaN

pointwidth

scale_max

null

scale_min

null

standard_name

forecast_reference_time

units

0.00145444104332861 ( year above 2000 ) radian east

history

[ dominant_class ( OLE2 CPT ESCENARIO1 ODDS Sobre la Normal ) + masklt ( { [ dominant_class ( OLE2 CPT ESCENARIO1 ODDS ) - 1. ] * 11. } , 22 ) ] + [ dominant_class ( OLE2 CPT ESCENARIO1 ODDS Normal ) + masknotrange ( { [ dominant_class ( OLE2 CPT ESCENARIO1 ODDS ) - 1. ] * 11. } , 10 , 12 ) ]

dominant_class [ OLE2 CPT ESCENARIO1 ODDS Sobre la Normal ] + masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 ODDS ] - 1. } * 11. ) , 22 ]

dominant_class [ OLE2 CPT ESCENARIO1 ODDS Sobre la Normal ]
dominant_class over ODDS[0, >9.0]

masklt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 ODDS ] - 1. } * 11. ) , 22 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]

dominant_class [ OLE2 CPT ESCENARIO1 ODDS Normal ] + masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO1 ODDS ] - 1. } * 11. ) , 10 , 12 ]

dominant_class [ OLE2 CPT ESCENARIO1 ODDS Normal ]
dominant_class over ODDS[0, >9.0]

masknotrange [ ( { dominant_class [ OLE2 CPT ESCENARIO1 ODDS ] - 1. } * 11. ) , 10 , 12 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]

dominant_class [ OLE2 CPT ESCENARIO1 ODDS Bajo la Normal ] + maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 ODDS ] - 1. } * 11. ) , 0 ]

dominant_class [ OLE2 CPT ESCENARIO1 ODDS Bajo la Normal ]
dominant_class over ODDS[0, >9.0]

maskgt [ ( { dominant_class [ OLE2 CPT ESCENARIO1 ODDS ] - 1. } * 11. ) , 0 ]
dominant_class over C[Bajo la Normal, Sobre la Normal]

min [ OLE2 CPT ESCENARIO1 PROPENSION ]

min over Y[32.75N, 62.75S]

$integral dX$ max min [ S , min ( OLE2 CPT ESCENARIO1 PROPENSION ) ]

max over S[0000 1 Jan 2000, 0000 1 Dec 2025]

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

Data Views

	X
OLE2 CPT ESCENARIO1[SPEARMANWET AFC PROPENSIONTMAX SPEARMANTMAX PROPENSIONTMIN BELOWWET ODDSTMED ABOVEWET WETDAY target_date AFCWET ABOVETMIN AFCTMED PROBABILIDADESTMAX TMAX AFCTMAX PROPENSIONWETDAYS ODDSWETDAYS ABOVETMED ODDS PROPENSIONTMED PROBABILIDADESTMIN ABOVE AFCTMIN ABOVETMAX ODDSTMIN ODDSTMAX PROBABILIDADES PROPENSION PROBABILIDADESTMED BELOWTMAX TMED BELOW SPEARMAN SPEARMANTMED BELOWTMIN TMIN PROBABILIDADESWETDAYS BELOWTMED PRECIPITACION SPEARMANTMIN ]
grid: /X (degree_east) ordered (117.75W) to (28.25W) by 0.5 N= 180 pts :grid	O=-0.25
grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid
$integral dX$ max min [ S , min ( OLE2 CPT ESCENARIO1 PROPENSION ) ] [ \| X]	M

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
Differentiate along X
Take differences along X