data: root mean sq anom min root mean sq anom [ OLE2 CPT ESCENARIO1 SPEARMANTMIN ]

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root mean sq anom min root mean sq anom [ OLE2 CPT ESCENARIO1 SPEARMANTMIN ] : Spearman Temperatura Mínima data

root mean sq anom min root mean sq anom [ OLE2 CPT ESCENARIO1 SPEARMANTMIN ] . is

Independent Variables (Grids)

Other Info

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CE

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doublearraytype

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-999.0

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NaN

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unitless

history

min root mean sq anom [ OLE2 CPT ESCENARIO1 SPEARMANTMIN ]

Averaged over S[0000 1 Jan 2000, 0000 1 Mar 2025] minimum 0.0% data present
min over Y[32.75N, 62.75S]

root mean sq anom min root mean sq anom [ OLE2 CPT ESCENARIO1 SPEARMANTMIN ]

Averaged over X[117.75W, 28.25W] 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

	S	X	Y
OLE2 CPT ESCENARIO1[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 ESCENARIO1 ABOVE[ X Y \| S]	M	M	M
root mean sq anom min root mean sq anom [ OLE2 CPT ESCENARIO1 SPEARMANTMIN ] [ \|]

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
Differentiate along
Take differences along

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

Note on units