data: root mean sq $integral dIWMO$ [ mean ( { percentile_over [ T2 75% min ] [ NOAA NCDC GCPS MONTHLY STATION mean prcp ] } * masklt { [ percentile_over ( T ) ( KAPLAN Indices NINO3 avOS ) ] , 1 } ) * unnamed ]

served from IRI/LDEO Climate Data Library

root mean sq ∫dIWMO [ mean ( { percentile_over [ T2 75% min ] [ NOAA NCDC GCPS MONTHLY STATION mean prcp ] } * masklt { [ percentile_over ( T ) ( KAPLAN Indices NINO3 avOS ) ] , 1 } ) * unnamed ] : percentile data

root mean sq ∫dIWMO [ mean ( { percentile_over [ T2 75% min ] [ NOAA NCDC GCPS MONTHLY STATION mean prcp ] } * masklt { [ percentile_over ( T ) ( KAPLAN Indices NINO3 avOS ) ] , 1 } ) * unnamed ] .

Independent Variables (Grids)

prcp: grid: /prcp (ids) unordered [ (dry) (normal) (wet)] :grid
Time (time): grid: /T (months since 01-Jan) periodic (Jan-Mar) to (Oct-Dec) by 3.0 N= 4 pts :grid

Other Info

bufferwordsize

CE

null

colorscalename

tercileclassesscale

CS

null

datatype

doublearraytype

maxncolor

254

missing_value

NaN

percentile

Probability

units

percent ids

history

mean [ ( percentile_over { T2 75% min } { NOAA NCDC GCPS MONTHLY STATION mean prcp } ) * masklt ( { percentile_over [ T ] [ KAPLAN Indices NINO3 avOS ] } , 1 ) ]

Boxes with less than 0.0% dropped
Averaged over T2[1901, 1990] minimum 0.0% data present

root mean sq $integral dIWMO$ [ mean ( { percentile_over [ T2 75% min ] [ NOAA NCDC GCPS MONTHLY STATION mean prcp ] } * masklt { [ percentile_over ( T ) ( KAPLAN Indices NINO3 avOS ) ] , 1 } ) * unnamed ]

Averaged over avOS[LaNina, ElNino] IWMO[99900, 9885849] minimum 0.0% data present

Last updated: Mon, 12 Sep 2016 21:13:52 GMT

Data Views

	avOS	IWMO	prcp	T
NOAA NCDC GCPS MONTHLY STATION lon[ IWMO \|]		M
NOAA NCDC GCPS MONTHLY STATION lat[ IWMO \|]		M
$integral dIWMO$ [ mean ( { percentile_over [ T2 75% min ] [ NOAA NCDC GCPS MONTHLY STATION mean prcp ] } * masklt { [ percentile_over ( T ) ( KAPLAN Indices NINO3 avOS ) ] , 1 } ) * unnamed ][ prcp avOS \| T IWMO]	M	M	M	M
root mean sq [ NOAA NCDC GCPS MONTHLY STATION lon ][ \|]
$partialdiff sub IWMO$ min $integral dIWMO$ [ mean ( { percentile_over [ T2 75% min ] [ NOAA NCDC GCPS MONTHLY STATION mean prcp ] } * masklt { [ percentile_over ( T ) ( KAPLAN Indices NINO3 avOS ) ] , 1 } ) * unnamed ] [ prcp avOS \| IWMO]	M	M	M
root mean sq $integral dIWMO$ [ mean ( { percentile_over [ T2 75% min ] [ NOAA NCDC GCPS MONTHLY STATION mean prcp ] } * masklt { [ percentile_over ( T ) ( KAPLAN Indices NINO3 avOS ) ] , 1 } ) * unnamed ] [ prcp T \|]			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 prcp T
Differentiate along prcp T
Take differences along prcp T

	avOS	IWMO	prcp	T
NOAA NCDC GCPS MONTHLY STATION lon[ IWMO \|]		M
NOAA NCDC GCPS MONTHLY STATION lat[ IWMO \|]		M
$integral dIWMO$ [ mean ( { percentile_over [ T2 75% min ] [ NOAA NCDC GCPS MONTHLY STATION mean prcp ] } * masklt { [ percentile_over ( T ) ( KAPLAN Indices NINO3 avOS ) ] , 1 } ) * unnamed ][ prcp avOS \| T IWMO]	M	M	M	M
root mean sq [ NOAA NCDC GCPS MONTHLY STATION lon ][ \|]
$partialdiff sub IWMO$ min $integral dIWMO$ [ mean ( { percentile_over [ T2 75% min ] [ NOAA NCDC GCPS MONTHLY STATION mean prcp ] } * masklt { [ percentile_over ( T ) ( KAPLAN Indices NINO3 avOS ) ] , 1 } ) * unnamed ] [ prcp avOS \| IWMO]	M	M	M
root mean sq $integral dIWMO$ [ mean ( { percentile_over [ T2 75% min ] [ NOAA NCDC GCPS MONTHLY STATION mean prcp ] } * masklt { [ percentile_over ( T ) ( KAPLAN Indices NINO3 avOS ) ] , 1 } ) * unnamed ] [ prcp T \|]			M	M