johnrobertlawson / wem Goto Github PK
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WRF Ensemble Management (USE EVAC)
It's a great tool, but I think maybe you should improve it from some basic parts.
For example, you didn't take the map scale factors into account, so the derivative dudx dvdy and so on are not so precise.
And in the similar way, you just interpolate the u v to mass grids and then calculate the derivative, but maybe you should do this directly in the staggered grids as NCL does.
Hoping WEM would be better and better :)
It would be a nice feature having simple (advanced) tools that allow beginner (experienced) WRF users to make plots from idealized cases.
For e.g. precipitation plots using the default (jet) colour scheme, it looks a bit silly to have swathes of the domain contoured with blue (zero). The user can avoid this by passing in clvs=N.arange(x,y,z) to e.g. plot2D()
, where x > 0, but what if the user wants the maximum/range to be automatically set (as in the default)? I'm looking for a way to detect when plotting zeros is a bad thing (accumulated precip, for instance), which will run something like plotobject.set_clim(vmin=1)
.
This is a great set of tools. Any chance you could provide some example code on how to make some basic plots?
Thanks,
Nic
Hi, many thanks for LazyWRF, I am exploring it for running WRF CHEM. I faced a issue in line 208 of lazyWRF.py
, giving message of cp: missing destination file operand after
, the same function carried out for WRF in the line 263 also giving same error but it seems more correct. I changed the line 208 into this os.system('cp ' + pathtoWPS + 'namelist.wps' ' namelist.wps.python_backup')
avoids the error message.
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