data: detrended-bfl root mean sq anom detrended-bfl [ OLE2 CPT ESCENARIO1 ODDSTMAX ]

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detrended-bfl root mean sq anom detrended-bfl [ OLE2 CPT ESCENARIO1 ODDSTMAX ] : ODDS Temperatura Máxima data

detrended-bfl root mean sq anom detrended-bfl [ OLE2 CPT ESCENARIO1 ODDSTMAX ] .

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
Hecho en (forecast_reference_time): grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2000) to (0000 1 Dec 2025) by 1.0 N= 312 pts :grid
Longitud (longitude): grid: /X (degree_east) ordered (117.75W) to (28.25W) by 0.5 N= 180 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (32.5N) to (62.5S) by 0.5 N= 191 pts :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -999.0
missing_value: NaN
pointwidth: 0
units: percent
standard units*: 0.01
history: Averaged over C[Bajo la Normal, Sobre la Normal] minimum 0.0% data present

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

Data Views

	L	S	X	Y
OLE2 CPT ESCENARIO1[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 ]
grid: /X (degree_east) ordered (117.75W) to (28.25W) by 0.5 N= 180 pts :grid			M
grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid				O=-0.25
grid: /C (ids) unordered [ (Bajo la Normal) (Normal) (Sobre la Normal)] :grid
grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2000) to (0000 1 Dec 2025) by 1.0 N= 312 pts :grid		M
detrended-bfl root mean sq anom detrended-bfl [ OLE2 CPT ESCENARIO1 ODDSTMAX ] 2.5 months[ X Y \| L S]	M	M	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 S
Differentiate along X Y S
Take differences along X Y S