[ncl-talk] Re-scaling Variables Vertically

[MELISSA KAZEMI RAD]

Hi Will,

Thank you for your comment. Yes, I am familiar with that resource in order
to change the Y_axis label. But my problem is not a visualization one; I
need to re-scale values of a number of variables along their vertical
dimension. For example, let's assume I have two variables X1 and X2, and I
want to take their average in the vertical dimension with the caveat that,
if zi (which is my height of interest) for X1 is zi_Xi, I first want to
re-scale X2 so that zi_X2 = zi_Xi, and then take the average.

The problem with WRF is that, if zi_Xi = 11 and zi_X2=13 for instance, I
know of no way to re-scale values in Z direction for X2 so that the new
zi_X2=11.  It's not a question of interpolation either.

I hope I could explain what I'm looking for.

Thanks,

On Fri, Sep 6, 2019 at 1:12 PM Will Hobbs <will.hobbs at utas.edu.au> wrote:

> Melissa
>
>
>
> Have you tried altering the vertical axis using the ‘tmYL’ set of
> resources? If your set tmYLMode = “Explicit” then you should be able to set
> the vertical (y-axis) labels exactly how you want.
>
>
>
> See example 6:
>
>
>
> http://www.ncl.ucar.edu/Applications/xy.shtml
>
>
>
> Will
>
>
>
>
>
> *From: *ncl-talk <ncl-talk-bounces at ucar.edu> on behalf of MELISSA KAZEMI
> RAD via ncl-talk <ncl-talk at ucar.edu>
> *Reply-To: *MELISSA KAZEMI RAD <mk1369 at scarletmail.rutgers.edu>
> *Date: *Friday, 6 September 2019 at 11:03 AM
> *To: *Ncl-talk <ncl-talk at ucar.edu>
> *Subject: *Re: [ncl-talk] Re-scaling Variables Vertically
>
>
>
> Hi all,
>
>
>
> I really appreciate if I could get some help with this problem. It's
> somehow urgent!
>
>
>
> Thanks a lot,
>
> Melissa
>
>
>
> On Wed, Sep 4, 2019 at 11:11 AM MELISSA KAZEMI RAD <
> mk1369 at scarletmail.rutgers.edu> wrote:
>
> Hi,
>
>
>
> I'm trying to figure out how to plot composites of averages of a number of
> variables with respect to height Z from WRF. What I'm looking for is the
> same as what is done in Jones, et al. 2011 paper:
>
>
>
> "For the composited profiles, the profiles were scaled so each LCL and zi
> aligned. The composite mean was then rescaled so that the dashed black
> line indicates the mean zi for each subset of profiles included in the
> composite, and the dashed red line the mean LCL."
>
>
>
> I'm attaching the respective plot from the paper. What I'm struggling with
> is that the height dimension of each variable is discretized into a number
> of pre-set vertical levels, and I cannot see how I can determine a fixed
> height for all of them, so that their average will have the same height.
> I'm not sure if interpolation would work here, because it still keeps the
> vertical levels the same and just interpolates values between them.
>
>
>
> I really appreciate some help.
>
>
>
> Bests,
>
> Melissa
>
>
>
> --
>
> *Melissa Kazemi Rad*
>
> *Atmospheric Sciences Department*
>
> *Rutgers University*
>
>
>
>
> --
>
> *Melissa Kazemi Rad*
>
> *Atmospheric Sciences Department*
>
> *Rutgers University*
>
>
>
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-- 
*Melissa Kazemi Rad*
*Atmospheric Sciences Department*
*Rutgers University*
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