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glwagner / EadyTurbulence

Scripts for the numerical simulation of baroclinic equilibration in the "Eady" configuration
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improves simple Eady example #2

Closed navidcy closed 4 years ago

glwagner commented 4 years ago

Much better.

I'm also struggling with good parameters for this problem. Do you have any suggestions?

navidcy commented 4 years ago

not on top of my head... what's happening at iteration i=250?! the fields look very weird then

navidcy commented 4 years ago

I'm also struggling with good parameters for this problem. Do you have any suggestions?

perhaps @oliasselin has suggestions for good set of parameters for Eady problem?

oliasselin commented 4 years ago

Actually I might! I am currently working on a paper (attached draft) on the interaction between NIWs and a 'realistic' QG flow generated by an Eady model (although with non-uniform N). I had trouble choosing parameters too back then. In 'eady_details' I describe the model and give the parameters I ended up choosing.

One thing I realized is that if your resulting turbulent flow is surface-confined (which was my case since the realistic stratification profile I use is also surface confined, see fig 1 of the draft) then the perturbations grow much stronger than the original mean-flow. That must be because the Ekman dissipation of the barotropic mode is not very effective. This would probably be less of a problem on the beta-plane... anyway.

I hope this helps Cheers Olivier

PS: Greg, while at it, have you given some thought to the correspondence between the XV Lagragian-mean transfer terms and their Eulerian-mean counterparts (the horizontal and vertical shear production terms everybody else in the world cares about)? I am trying to work this out now but it is not as trivial as I thought...

On Sat, Nov 2, 2019 at 2:29 AM Navid C. Constantinou < notifications@github.com> wrote:

I'm also struggling with good parameters for this problem. Do you have any suggestions?

perhaps @oliasselin https://github.com/oliasselin has suggestions for good set of parameters for Eady problem?

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glwagner commented 4 years ago

@oliasselin you shouldn't worry so much about what everyone else in the world cares about!

Just kidding, that sounds interesting. I'd love to hear your thoughts. As a matter of fact I am in San Diego right now, but leaving tomorrow. I will be back at the end of the month, however, so we could meet up then if you want.

Thanks a lot for your thoughts about the Eady problem. Have you tried to reproduce your QG results in a Boussinesq model? Is that possible? We could explore that in this repository, for example.

oliasselin commented 4 years ago

Hey Greg!

I'm actually returning to SD tomorrow evening from Edinburgh (collaborating with J. Vanneste)... Do let me know when you come back!

I haven't run the Eady-NIW sims in my Boussinesq model yet, but that's part of the ultimate plan. That's a bit why I wanted to sort out the Lagrangian-Eulerian correspondence first. But I think I'm basically there. Stay tuned!

On Sun, Nov 3, 2019 at 4:08 AM Gregory L. Wagner notifications@github.com wrote:

@oliasselin https://github.com/oliasselin you shouldn't worry so much about what everyone else in the world cares about!

Just kidding, that sounds interesting. I'd love to hear your thoughts. As a matter of fact I am in San Diego right now, but leaving tomorrow. I will be back at the end of the month, however, so we could meet up then if you want.

Thanks a lot for your thoughts about the Eady problem. Have you tried to reproduce your QG results in a Boussinesq model? Is that possible? We could explore that in this repository, for example.

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/glwagner/EadyTurbulence/pull/2?email_source=notifications&email_token=AEZSQH6G2V6E4B3NYVKJBSDQRZFD3A5CNFSM4JHSDJB2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEC5KPRQ#issuecomment-549103558, or unsubscribe https://github.com/notifications/unsubscribe-auth/AEZSQH5IZUPMZLOO4UWP2TDQRZFD3ANCNFSM4JHSDJBQ .