data: min $integral dS$ [ OLE2 CPT ESCENARIO1 AFC ]

min ∫dS [ OLE2 CPT ESCENARIO1 AFC ] : 2AFC Precipitación data

min ∫dS [ OLE2 CPT ESCENARIO1 AFC ] . is

Independent Variables (Grids)

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
file_missing_value: -999.0
missing_value: NaN
pointwidth: 0
units: months
standard units*: 0.0833333333333333 year
history: min over X[117.75W, 28.25W] Y[32.75N, 62.75S] S[0000 16 Dec 1999, 0000 16 Mar 2025]

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

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