data: root mean sq anom root mean sq $integral dX$ [ OLE2 CPT ESCENARIO2 TMIN ]

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root mean sq anom root mean sq ∫dX [ OLE2 CPT ESCENARIO2 TMIN ] : Probabilidades -Temperatura Mínima - Categorías data

root mean sq anom root mean sq ∫dX [ OLE2 CPT ESCENARIO2 TMIN ] .

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :grid
Longitude (longitude): grid: /X (degree_east) ordered (118W) to (28W) by 0.5 N= 181 pts :grid
Latitud (latitude): grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :grid

Other Info

bufferwordsize

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-1.0

missing_value

NaN

pointwidth

units

0.000174532925199433 radian east

history

root mean sq anom root mean sq $integral dX$ [ OLE2 CPT ESCENARIO2 TMIN ]

Averaged over S[0000 1 Jan 2000, 0000 1 Mar 2025] minimum 0.0% data present
Averaged over C[Bajo la Normal, Sobre la Normal] 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

	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 ABOVETMAX[ X Y \| S]		M	O=-0.25	M
root mean sq anom root mean sq $integral dX$ [ OLE2 CPT ESCENARIO2 TMIN ] 2.5 months[ X Y \| L]	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
Differentiate along X Y
Take differences along X Y

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

Note on units