data: min $integral dL$ [ MGAP CPT target

served from dlibrary.snia.gub.uy

min ∫dL [ MGAP CPT target_date ] : forecast time data

MGAP CPT target_date target_date int_dL forecast time from SOURCES: datos de MGAP SNIA prueba.

Independent Variables (Grids)

Forecast Lead Time in Months: grid: /L (months) ordered (2.5 months) to (4.5 months) by 1.0 N= 3 pts :grid

Other Info

bufferwordsize: 8
calendar: 360
CE: null
CS: null
datatype: doublearraytype
gridid: 192711736
pointwidth: 3.0
scale_max: null
scale_min: null
units: 0.00694444444444444 year²
history: min over S[0000 1 Sep 2012, 0000 1 Nov 2013]

Last updated: Thu, 04 Feb 2016 15:18:08 GMT

Data Views

	L
min $integral dL$ [ MGAP CPT target_date ] [ L \|]	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 L
Differentiate along L
Take differences along L