data: max $integral dT$ [ MGAP CPT CFSv2_AtlPac

served from dlibrary.snia.gub.uy

max ∫dT [ MGAP CPT CFSv2_AtlPac_sst CrossValHind ] : cross-validated hindcasts data

MGAP CPT CFSv2_AtlPac_sst CrossValHind int_dT cross-validated hindcasts 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

CE

null

CS

null

datatype

doublearraytype

file_missing_value

-999.0

missing_value

NaN

pointwidth

1.0

units

9.64506172839506×10^-10 meter second^-1 year

history

max $integral dT$ [ MGAP CPT CFSv2_AtlPac_sst CrossValHind ]

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 X[59.5W, 52.5W] Y[35.5S, 29.5S] T2[1980, 2014] T[0000 1 Jan 1960, 0000 1 Jan 1961]

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

Data Views

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max $integral dT$ [ MGAP CPT CFSv2_AtlPac_sst CrossValHind ] [ \| 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