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 (months since 1960-01-01) ordered (0000 16 Dec 1999) to (0000 16 Mar 2025) by 1.0 N= 304 pts :grid

Other Info

bufferwordsize: 8
calendar: 360
CE: null
CS: null
datatype: doublearraytype
gridid: 168954384
pointwidth: 3.0
scale_max: null
scale_min: null
units: 0.00694444444444444 ( year above 2000 ) year

Last updated: Thu, 06 Mar 2025 07:30:01 GMT
Expires: Sat, 05 Apr 2025 00:00:00 GMT

Data Views

	C	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 BELOWTMAX 2.5 months[ X Y \| S L]		M	O=-0.5	M	M
OLE2 CPT ESCENARIO2 ODDS 2.5 months[ X Y C \| S L]	M	M	O=-0.5	M	M
$integral dS$ [ 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