data: root mean sq [ OLE2 CPT ESCENARIO1 TMIN ]

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root mean sq [ OLE2 CPT ESCENARIO1 TMIN ]: Probabilidades -Temperatura Mínima - Categorías data

root mean sq [ OLE2 CPT ESCENARIO1 TMIN ].

Independent Variables (Grids)

Categorias: grid: /C (ids) unordered [ (Bajo la Normal) (Normal) (Sobre la Normal)] :grid
Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
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: null
CS: null
datatype: doublearraytype
file_missing_value: -1.0
missing_value: NaN
pointwidth: 0
units: percent
standard units*: 0.01
history: Averaged over S[0000 1 Jan 2000, 0000 1 Mar 2025] minimum 0.0% data present

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 ESCENARIO1[PROPENSION TMED PROBABILIDADESTMED BELOWTMED PROPENSIONTMIN SPEARMANTMAX BELOW PROBABILIDADES TMIN WETDAY AFCTMIN AFCTMED PROPENSIONTMAX PRECIPITACION SPEARMANWET ODDSTMED PROBABILIDADESWETDAYS target_date AFCTMAX PROBABILIDADESTMIN ABOVEWET TMAX PROBABILIDADESTMAX ODDSWETDAYS AFCWET PROPENSIONWETDAYS SPEARMAN PROPENSIONTMED SPEARMANTMIN BELOWWET ABOVETMAX ABOVETMIN BELOWTMAX ABOVETMED ODDS ABOVE ODDSTMAX AFC ODDSTMIN BELOWTMIN SPEARMANTMED ]
OLE2 CPT ESCENARIO1 WETDAY 2.5 months[ X Y C \| S L]	M	M	M	M	M
root mean sq [ OLE2 CPT ESCENARIO1 TMIN ] 2.5 months[ X Y C \| L]	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 C
Differentiate along X Y C
Take differences along X Y C