data: max [ OLE2 CPT ESCENARIO2 AFC ]

served from 129.236.110.25

max [ OLE2 CPT ESCENARIO2 AFC ]: 2AFC Precipitación data

max [ OLE2 CPT ESCENARIO2 AFC ].

Independent Variables (Grids)

Longitud (longitude): grid: /X (degree_east) ordered (117.75W) to (28.25W) by 0.5 N= 180 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid

Other Info

bufferwordsize: 8
CE: 100.0
CS: 0.0
datatype: doublearraytype
file_missing_value: -999.0
missing_value: NaN
pointwidth: 0
scale_max: 100.0
scale_min: 0.0
units: unitless
history: 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	Y
OLE2 CPT ESCENARIO2[PROPENSIONTMIN PROBABILIDADES BELOWTMED TMED PROBABILIDADESTMED ABOVETMAX PROPENSION BELOW PROBABILIDADESWETDAYS AFCTMIN SPEARMAN TMIN AFCTMED BELOWTMAX SPEARMANTMAX PRECIPITACION PROPENSIONTMAX SPEARMANWET AFC ODDSTMED WETDAY PROBABILIDADESTMIN ABOVEWET AFCTMAX PROPENSIONWETDAYS target_date AFCWET TMAX PROBABILIDADESTMAX SPEARMANTMIN ODDSWETDAYS ODDS PROPENSIONTMED BELOWWET ABOVETMIN ABOVE ABOVETMED BELOWTMIN ODDSTMIN ODDSTMAX SPEARMANTMED ]
max [ OLE2 CPT ESCENARIO2 AFC ][ X Y \|]	M	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 Y
Differentiate along X Y
Take differences along X Y

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

Note on units