data: root mean sq anom root mean sq anom root mean sq anom [ OLE2 CPT ESCENARIO1 SPEARMAN ]

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root mean sq anom root mean sq anom root mean sq anom [ OLE2 CPT ESCENARIO1 SPEARMAN ] : Spearman Precipitación data

root mean sq anom root mean sq anom root mean sq anom [ OLE2 CPT ESCENARIO1 SPEARMAN ] . is

Independent Variables (Grids)

Other Info

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CE

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datatype

doublearraytype

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-999.0

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unitless

history

root mean sq anom root mean sq anom [ OLE2 CPT ESCENARIO1 SPEARMAN ]

Averaged over S[0000 1 Jan 2000, 0000 1 Dec 2025] minimum 0.0% data present
Averaged over X[117.5W, 28.5W] minimum 0.0% data present

root mean sq anom root mean sq anom root mean sq anom [ OLE2 CPT ESCENARIO1 SPEARMAN ]

Averaged over Y[32.75N, 62.75S] 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

OLE2 CPT ESCENARIO1[ ]

grid: /X (degree_east) ordered (117.75W) to (28.25W) by 0.5 N= 180 pts :grid

grid: /Y (degree_north) ordered (32.75N) to (62.75S) by 0.5 N= 192 pts :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

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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