[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

[python #BLO-430107]: Bulk Richardson number calculation - gradients?

This archive contains answers to questions sent to Unidata support through mid-2025. Note that the archive is no longer being updated. We provide the archive for reference; many of the answers presented here remain technically correct, even if somewhat outdated. For the most up-to-date information on the use of NSF Unidata software and data services, please consult the Software Documentation first.

  • Subject: [python #BLO-430107]: Bulk Richardson number calculation - gradients?
  • Date: Tue, 24 Mar 2020 13:09:04 -0600
Greetings!

There shouldn't be any limitations to the data you pass in. You are correct 
that Brunt-Vaisala frequency is undefined when dTheta/dZ is negative. For data 
points where that is the case, the MetPy function will return values of np.nan 
(as we do for other undefined values).

Cheers,

Ryan

> Thanks so much Ryan! Metpy and your support really are awesome!
> One other small question - Brunt Vaisala frequency calculation (
> https://unidata.github.io/MetPy/latest/api/generated/metpy.calc.brunt_vaisala_frequency.html
> ).
> From reading around the subject on this metric I am not sure if it is valid
> to use when the potential temperature gradient is negative. Do you know if
> there are any limitations to what data I send this function?


Ticket Details
===================
Ticket ID: BLO-430107
Department: Support Python
Priority: Low
Status: Closed
===================
NOTE: All email exchanges with Unidata User Support are recorded in the Unidata 
inquiry tracking system and then made publicly available through the web.  If 
you do not want to have your interactions made available in this way, you must 
let us know in each email you send to us.