[ncl-talk] Re-scaling Variables Vertically

[Will Hobbs]

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<mailto: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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