data: max [ T2 , max ( MGAP CPT InputObs ) ]

served from dlibrary.snia.gub.uy

max [ T2 , max ( MGAP CPT InputObs ) ]: Training period, input observations data

max [ T2 , max ( MGAP CPT InputObs ) ].

Independent Variables (Grids)

Training period: grid: /T2 (months since 1960-01-01) ordered (1980) to (2011) by 12.0 N= 32 pts :grid
Longitude (longitude): grid: /X (degree_east) ordered (59.75W) to (52.25W) by 0.5 N= 16 pts :grid
Latitude (latitude): grid: /Y (degree_north) ordered (29.25S) to (35.75S) by 0.5 N= 14 pts :grid

Other Info

calendar

360

datatype

realarraytype

fnname

max

gridid

184899160

missing_value

NaN

pointwidth

scale_max

null

scale_min

null

units

months since 1960-01-01

standard units*

0.0833333333333333 ( years since 1960-01-01 00:00.000000000 )

history

max [ MGAP CPT InputObs ]

Output from CPT for 12 3-month running seasons for 1960-2009 between ECHAM4p5 GCM and CRU dataset, CPT recompiled on Mac 9.04 version
max over T[16 Sep 1960 - 15 Oct 1960, 16 Oct 1960 - 15 Nov 1960] L[3.0 months, 4.0 months]

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

Data Views

	T2	X	Y
MGAP CPT[target_date CrossValHind PearsonR PredErrorVars CFSv2_AtlPac_sst hindcast_date Forecast InputObs ]
grid: /X (degree_east) ordered (59.75W) to (52.25W) by 0.5 N= 16 pts :grid		M
grid: /Y (degree_north) ordered (29.25S) to (35.75S) by 0.5 N= 14 pts :grid			M
max [ T2 , max ( MGAP CPT InputObs ) ][ T2 \| X Y]	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 T2 X Y
Differentiate along T2 X Y
Take differences along T2 X Y