data: $partialdiff sub S$ min max [ OLE2 CPT ESCENARIO1 AFCTMIN ]

served from 129.236.110.25

∂_S min max [ OLE2 CPT ESCENARIO1 AFCTMIN ] : ∂_S 2AFC Temperatura Mínima data

∂_S min max [ OLE2 CPT ESCENARIO1 AFCTMIN ] .

Independent Variables (Grids)

S (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (Jan 2000) to (Feb 2025) by 1.0 N= 302 pts :grid

Other Info

CE

100.0

CS

0.0

datatype

realarraytype

file_missing_value

-999.0

missing_value

NaN

pointwidth

units

0.12 year^-1

history

$partialdiff sub S$ min max [ OLE2 CPT ESCENARIO1 AFCTMIN ]

max over Y[32.75N, 62.75S]
min over X[117.75W, 28.25W]

Last updated: Thu, 06 Mar 2025 07:30:01 GMT
Expires: Sat, 05 Apr 2025 00:00:00 GMT

Data Views

	L	S	X	Y
OLE2 CPT ESCENARIO1[AFCTMAX PROBABILIDADESTMIN ABOVEWET BELOWTMED TMAX PROBABILIDADESTMAX AFCWET ODDSWETDAYS PROPENSIONWETDAYS SPEARMAN AFCTMED PROPENSIONTMED SPEARMANTMIN BELOWWET ABOVETMAX ABOVETMIN BELOWTMAX ABOVE ODDS ODDSTMAX ODDSTMIN AFC BELOWTMIN SPEARMANTMED PROPENSION TMED PROBABILIDADESTMED PROPENSIONTMIN SPEARMANTMAX TMIN BELOW PROBABILIDADES WETDAY AFCTMIN PROPENSIONTMAX PRECIPITACION SPEARMANWET ODDSTMED ABOVETMED PROBABILIDADESWETDAYS target_date ]
OLE2 CPT ESCENARIO1 PROPENSION 2.5 months[ X Y \| L S]	M	O=0.5	M	M
$partialdiff sub S$ min max [ OLE2 CPT ESCENARIO1 AFCTMIN ] [ \| S]		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 S
Differentiate along S
Take differences along S

∂S min max [ OLE2 CPT ESCENARIO1 AFCTMIN ] : ∂S 2AFC Temperatura Mínima data

Independent Variables (Grids)

Other Info

Data Views

Filters

∂_S min max [ OLE2 CPT ESCENARIO1 AFCTMIN ] : ∂_S 2AFC Temperatura Mínima data