[ncl-talk] Extract upper high tail of probability distribution

[Dennis Shea]

If the source array is 'x[*]' and the distribution in normally distributed
with xMean and xStd, the.

   x95 = xMean+2*xStd   ; scalar
   i95  =  ind(x.ge.x95)
   xHigh = x(i95)              ; values
   print(xHigh)
===
If 'x' is multidimensional [ 'X' ] then

   x = ndtooned(X)




On Thu, Dec 5, 2019 at 6:53 AM Sri.durgesh Nandini-Weiss via ncl-talk <
ncl-talk at ucar.edu> wrote:

> Hello everyone,
>
> I am trying to extract the upper high end tail (95
> percentiles-100percentiles) (shaded area below) of the probability
> distribution.
>
> Is one way: Area95-100percentiles= mean+2standard deviations?
>
> Does anyone know how to extract (resampled) and plot this high end/upper
> tail from a normal distribution?
>
>
>
> --
> Dr. Sri Nandini-Weiß
> Research Scientist
>
> Universität Hamburg
> Center for Earth System Research and Sustainability (CEN)
> Cluster of Excellence 'Climate, Climatic Change, and Society' (CLICCS)
>
> Bundesstrasse 53, 20146 Hamburg
> Tel: +49 (0) 40 42838 7472
>
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