Data Library root mean sq ∂Y [ MGAP CPT PredErrorVars ]
Y35.75S - 29.25S
SSep 2012 - Oct 2013
L[1.0 6.0] months
served from dlibrary.snia.gub.uy

root mean sq ∂Y [ MGAP CPT PredErrorVars ] : ∂Y prediction error variance data

MGAP CPT PredErrorVars partial_Y ∂Y prediction error variance 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
Start time (forecast_reference_time)
grid: /S (months since 1960-01-01) ordered [ (0000 1 Sep 2012) (0000 1 Oct 2012) (0000 1 Nov 2012) (0000 1 Sep 2013) (0000 1 Oct 2013) (0000 1 Nov 2013)] :grid
Latitude (latitude)
grid: /Y (degree_north) ordered (29.5S) to (35.5S) by 0.5 N= 13 pts :grid

Other Info

bufferwordsize
8
CE
null
CS
null
datatype
doublearraytype
file_missing_value
-999.0
missing_value
NaN
pointwidth
3.0
units
0.687549354156988 meter radian-1 north year-1
history
root mean sq $partialdiff sub Y$ [ MGAP CPT PredErrorVars ]
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
Averaged over X[60W, 52W] minimum 0.0% data present

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

Data Views

LSY
[ Y | S L]MMM


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. Average over Y S L | Y S Y L S L | Y S L |
RMS (root mean square with mean *not* removed) over Y S L | Y S Y L S L | Y S L |
RMSA (root mean square with mean removed) over Y S L | Y S Y L S L | Y S L |
Maximum over Y S L | Y S Y L S L | Y S L |
Minimum over Y S L | Y S Y L S L | Y S L |
Detrend (best-fit-line) over Y S L | Y S Y L S L | Y S L |
Convert units from 0.687549354156988 meter radian-1 north year-1 to

Note on units