data: max [ OLE2 CPT ESCENARIO2 AFCTMED ]

served from 129.236.110.25

max [ OLE2 CPT ESCENARIO2 AFCTMED ]: 2AFC Temperatura Media data

max [ OLE2 CPT ESCENARIO2 AFCTMED ].

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
Latitude (latitude): grid: /Y (degree_north) ordered (32.5N) to (62.5S) by 0.5 N= 191 pts :grid

Other Info

CE: 100.0
CS: 0.0
datatype: realarraytype
file_missing_value: -999.0
missing_value: NaN
pointwidth: 0
units: unitless
history: max 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 ESCENARIO2[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 ESCENARIO2 PROPENSION 2.5 months[ X Y \| L S]	M	O=0.5	M	O=-0.25
max [ OLE2 CPT ESCENARIO2 AFCTMED ][ Y \| S]		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 Y S
Differentiate along Y S
Take differences along Y S

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

Note on units