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

root mean sq anom ∂_prcp ∫dIWMO ∫dprcp ∂_prcp min [ 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)

Time (time): grid: /T (months since 01-Jan) periodic (16 Feb - 15 May) to (16 Nov - 15 Feb) 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 ids ids /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

$partialdiff sub prcp$ $integral dIWMO$ $integral dprcp$ $partialdiff sub prcp$ min [ mean ( { percentile_over [ T2 75% min ] [ NOAA NCDC GCPS MONTHLY STATION mean prcp ] } * masklt { [ percentile_over ( T ) ( KAPLAN Indices NINO3 avOS ) ] , 1 } ) * unnamed ] 9885849

min over avOS[, ]

root mean sq anom $partialdiff sub prcp$ $integral dIWMO$ $integral dprcp$ $partialdiff sub prcp$ min [ 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 prcp[, �h� ] IWMO[99900, 9885849] minimum 0.0% data present

Last updated: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

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

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

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

Independent Variables (Grids)

Other Info

Data Views

Filters

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