∫dT root mean sq [ 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

∫dT root mean sq [ 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) ordered (Jan-Mar) to (Jan-Mar) by 3.0 N= 5 pts :grid

Other Info

bufferwordsize
8
CE
null
colorscalename
tercileclassesscale
CS
null
datatype
doublearraytype
maxncolor
254
missing_value
NaN
percentile
Probability
units
0.000833333333333333 year
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

$integral dT$ root mean sq [ 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[, ] IWMO[100100, 9885100] minimum 0.0% data present

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

Data Views

IWMOprcpT
[ IWMO |]M
[ IWMO |]M
[ prcp T |]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 T | prcp T |
RMS (root mean square with mean *not* removed) over prcp T | prcp T |
RMSA (root mean square with mean removed) over prcp T | prcp T |
Maximum over prcp T | prcp T |
Minimum over prcp T | prcp T |
Detrend (best-fit-line) over prcp T | prcp T |
Convert units from 0.000833333333333333 year to

Note on units