[gradsusr] Weighting in Ensemble Dimension

[Jeff Duda]

Tom,

I think you can create a weighting function and then use it in the average
command.  So it would look like

(define weight field somehow as wgt)
'd ave(wgt*product,e=1,e=8)'

The tricky part is creating a weighting field that is a function of
ensemble member.  I haven't tried this to see if it works or not, but if
you set your dimension environment so that ensemble dimension is varying,
you could then try defining the field, possibly using the const(maskout())
function.  If that doesn't work, you'll have to create a separate weight
function for each ensemble member and display the product using a manual
average, i.e.,
'define sum = weight1*member1 + weight2*member2 + ... + weightN*memberN'
'define totalweight = weight1+weight2 + ... + weightN'
'd sum/totalweight'

If you're using a script to do this, the sums can be handled using a while
loop to make them much more tractable.

Good luck. Let me know if you have more questions.

Jeff


On Sun, Apr 20, 2014 at 1:24 PM, Tom Hultquist <weathertom at gmail.com> wrote:

> Is there a way to adjust the weighting of members when using the ensemble
> dimension? I'd like to use the ave function across and ensemble (e=1, e=8),
> but want different weighting for members 1-4 vs members 5-8.
>
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-- 
Jeff Duda
Graduate research assistant
University of Oklahoma School of Meteorology
Center for Analysis and Prediction of Storms
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