data: min mean $integral dX$ [ OLE2 CPT ESCENARIO1 BELOW ]

served from 129.236.110.25

min mean ∫dX [ OLE2 CPT ESCENARIO1 BELOW ] : ROC ( Bajo ) - Precipitación data

min mean ∫dX [ OLE2 CPT ESCENARIO1 BELOW ] .

Independent Variables (Grids)

Latitud (latitude): grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-999.0

missing_value

NaN

pointwidth

units

degree_east

standard units*

0.0174532925199433 radian east

history

min mean $integral dX$ [ OLE2 CPT ESCENARIO1 BELOW ]

Averaged over X[118W, 28W] minimum 0.0% data present
min 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

	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 SPEARMAN[ X Y \| S]	M	M	M
min mean $integral dX$ [ OLE2 CPT ESCENARIO1 BELOW ] [ Y \|]			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 Y
Differentiate along Y
Take differences along Y