data: min min [ OLE2 CPT ESCENARIO1 AFCTMIN ]

served from 129.236.110.25

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

min min [ OLE2 CPT ESCENARIO1 AFCTMIN ] . is

Independent Variables (Grids)

Other Info

bufferwordsize

CE

100.0

CS

0.0

datatype

doublearraytype

file_missing_value

-999.0

missing_value

NaN

pointwidth

scale_max

100.0

scale_min

0.0

units

percent

standard units*

0.01

history

min min [ OLE2 CPT ESCENARIO1 AFCTMIN ]

min over X[117.75W, 28.25W] S[0000 1 Jan 2000, 0000 1 Mar 2025]
min over Y[32.75N, 62.75S]

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	M	M
min min [ OLE2 CPT ESCENARIO1 AFCTMIN ] [ \|]

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
Differentiate along
Take differences along

Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over

Note on units