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∂
X
∂
X
∂
L
∂
S
prediction error variance
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∂
X
∂
X
∂
L
∂
S
prediction error variance
MGAP CPT PredErrorVars partial_S partial_L
∂
X
∂
L
∂
S
prediction error variance from SOURCES: datos de MGAP SNIA prueba.
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overview
an outline showing sub-datasets of this dataset
grid: /L (99.0071069986062 meter radian-1 east year-3) ordered (2.5 99.0071069986062 meter radian-1 east year-3) to (4.5 99.0071069986062 meter radian-1 east year-3) by 9.5283467E-04 N= 2100 pts :grid
Datasets and variables
∂
X
∂
L
∂
S
prediction error variance
$partialdiff sub X$ $partialdiff sub L$ $partialdiff sub S$ [ MGAP CPT PredErrorVars ] [ X Y | S L]
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Ingrid:
HTMLwords
MGAP CPT[
hindcast_date
Forecast
InputObs
target_date
CrossValHind
PearsonR
CFSv2_AtlPac_sst
PredErrorVars
]
grid: /X (degree_east) ordered (59.75W) to (52.25W) by 0.5 N= 16 pts :grid
grid: /Y (degree_north) ordered (29.25S) to (35.75S) by 0.5 N= 14 pts :grid
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
grid: /L (months) ordered (2.5 months) to (4.5 months) by 1.0 N= 3 pts :grid
/==do0
/add_offset
0
SOURCES .MGAP .CPT PredErrorVars ngridtable S partial L partial X partial
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