data: root mean sq anom root mean sq anom $integral dC$ [ OLE2 CPT ESCENARIO1 ODDSTMAX ]

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root mean sq anom root mean sq anom ∫dC [ OLE2 CPT ESCENARIO1 ODDSTMAX ] : ODDS Temperatura Máxima data

root mean sq anom root mean sq anom ∫dC [ OLE2 CPT ESCENARIO1 ODDSTMAX ] .

Independent Variables (Grids)

C: grid: /C (ids) unordered [ (Bajo la Normal) () () (e la Normal)] :grid
Forecast Lead Time in Months: grid: /L (months) ordered [ (2.5)] :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

-999.0

missing_value

NaN

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units

percent ids

history

root mean sq anom root mean sq anom $integral dC$ [ OLE2 CPT ESCENARIO1 ODDSTMAX ]

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

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

Data Views

	C	L	Y
OLE2 CPT ESCENARIO1[PROPENSIONTMIN PROBABILIDADES BELOWTMED TMED PROBABILIDADESTMED ABOVETMAX PROPENSION BELOW PROBABILIDADESWETDAYS AFCTMIN SPEARMAN TMIN AFCTMED BELOWTMAX SPEARMANTMAX PRECIPITACION PROPENSIONTMAX SPEARMANWET AFC ODDSTMED WETDAY PROBABILIDADESTMIN ABOVEWET AFCTMAX PROPENSIONWETDAYS target_date AFCWET TMAX PROBABILIDADESTMAX SPEARMANTMIN ODDSWETDAYS ODDS PROPENSIONTMED BELOWWET ABOVETMIN ABOVE ABOVETMED BELOWTMIN ODDSTMIN ODDSTMAX SPEARMANTMED ]
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			M
grid: /C (ids) unordered [ (Bajo la Normal) (Normal) (Sobre la Normal)] :grid	D
grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2000) to (0000 1 Dec 2025) by 1.0 N= 312 pts :grid
root mean sq anom root mean sq anom $integral dC$ [ OLE2 CPT ESCENARIO1 ODDSTMAX ] 2.5 months[ Y C \| 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 Y C
Differentiate along Y C
Take differences along Y C

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

Note on units