data: $integral dS$ [ OLE2 CPT ESCENARIO2 target

served from 129.236.110.25

∫dS [ OLE2 CPT ESCENARIO2 target_date ]: forecast time data

∫dS [ OLE2 CPT ESCENARIO2 target_date ].

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
S (forecast_reference_time): grid: /S (days since 1960-01-01) ordered [ (1200 16 Dec 1999 - 1200 16 Jan 2000) (1200 16 Jan 2000 - 1200 15 Feb 2000) (1200 15 Feb 2000 - 1200 16 Mar 2000) ... (16 Nov 2025 - 15 Dec 2025)] N= 312 pts :grid

Other Info

calendar: 360
CE: null
CS: null
datatype: realarraytype
gridid: 175497440
pointwidth: 3.0
scale_max: null
scale_min: null
units: 7200 second year

Last updated: Sat, 06 Dec 2025 07:30:02 GMT
Expires: Mon, 05 Jan 2026 00:00:00 GMT

Data Views

	L	S
OLE2 CPT ESCENARIO2[SPEARMANTMIN BELOWTMED BELOWWET PROPENSIONTMED ODDS ODDSWETDAYS ABOVETMIN ABOVE AFCTMED BELOWTMIN ODDSTMIN ODDSTMAX SPEARMANTMED PROPENSIONTMIN PROBABILIDADES PROPENSION PROBABILIDADESTMED TMED BELOW ABOVETMAX PROBABILIDADESWETDAYS SPEARMAN AFCTMIN TMIN BELOWTMAX SPEARMANTMAX PRECIPITACION PROPENSIONTMAX SPEARMANWET AFC ODDSTMED WETDAY PROBABILIDADESTMIN ABOVEWET AFCTMAX PROPENSIONWETDAYS target_date AFCWET ABOVETMED TMAX PROBABILIDADESTMAX ]
$integral dS$ [ OLE2 CPT ESCENARIO2 target_date ] 2.5 months[ L 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 S
Differentiate along S
Take differences along S