mean ∫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

mean ∫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)

IWMO
grid: /IWMO (ids) ordered [ (99900) (99900) (101500) ... (9885849)] N= 7476 pts :grid
prcp
grid: /prcp (ids) unordered [ () (0Ѿ)] :grid

Other Info

CE
null
colorscalename
tercileclassesscale
CS
null
datatype
realarraytype
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

mean $integral dIWMO$ [ 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] T[Jan-Mar, Oct-Dec] minimum 0.0% data present

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

Data Views

IWMOprcp
[ IWMO |]D
[ IWMO |]D
[ prcp | IWMO]MM


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 prcp IWMO | prcp IWMO |
RMS (root mean square with mean *not* removed) over prcp IWMO | prcp IWMO |
RMSA (root mean square with mean removed) over prcp IWMO | prcp IWMO |
Maximum over prcp IWMO | prcp IWMO |
Minimum over prcp IWMO | prcp IWMO |
Detrend (best-fit-line) over prcp IWMO | prcp IWMO |
Convert units from percent ids to

Note on units