min [ 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

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)

WMO Station ID
grid: /IWMO (ids) ordered [ (100100) (100500) (102500) ... (9885100)] N= 7475 pts :grid
prcp
grid: /prcp (ids) unordered [ (dry) (normal) (wet)] :grid

Other Info

CE
100
colorscalename
tercileclassesscale
CS
0
datatype
realarraytype
maxncolor
254
missing_value
NaN
percentile
Probability
units
percent
standard units*
0.01
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

min [ mean ( { percentile_over [ T2 75% min ] [ NOAA NCDC GCPS MONTHLY STATION mean prcp ] } * masklt { [ percentile_over ( T ) ( KAPLAN Indices NINO3 avOS ) ] , 1 } ) * unnamed ]
min over avOS[, ] T[16 Feb - 15 May, 16 Nov - 15 Feb]
colorscale

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

Note on units