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

served from 129.236.110.25

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

max min ∂_X [ OLE2 CPT ESCENARIO1 AFCTMIN ] .

Independent Variables (Grids)

Longitude (longitude): grid: /X (degree_east) ordered (117.5W) to (28.5W) by 0.5 N= 179 pts :grid

Other Info

CE

100.0

CS

0.0

datatype

realarraytype

file_missing_value

-999.0

missing_value

NaN

pointwidth

units

0.572957795130823 radian^-1 east

history

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

min over Y[32.75N, 62.75S]
max over S[0000 1 Jan 2000, 0000 1 Mar 2025]

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	M	O=0.25	M
max min $partialdiff sub X$ [ OLE2 CPT ESCENARIO1 AFCTMIN ] [ 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

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

Independent Variables (Grids)

Other Info

Data Views

Filters

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