External participants please email mpe.a dmin@imperial.ac.uk to register your interest for the event.

\n
**Key Speaker and Guests:**

Prof Gavin Esler (Professor of Appl
ied Mathematics\, UCL)

\nDr David Ham (Reader in Computational Mathem
atics\, Mathematics Department\, ICL)

\nDr Zoe Goss (Renewable Tech
nology Engineer at Frazer-Nash)

\nDr Josephine Park (Principal Data S
cientist at UK Health Security Agency)

**Programme Schedule :**

14.30 Prof Gavin Esler on ‘Can jet forma tion in beta-plane turbulence ever be described by a local closure theory? ’

\n15.15 Refreshment Break

\n15.30 Dr David Ham on ‘How to not write your model: code generatio n for geoscientific simulation from a mathematical specification of the mo del’

\n16.20 Dr Zoe Goss on ‘Consultancy: a pa thway from academia to industry’

\n16.40 Dr Jose phine Park on ‘Data Science in the Public vs Private Sectors’

\n17.00 Q/A

\n

\nProf Gavin Esler

\n**Title:** Can jet formation in beta-plane turbulence ever be describe
d by a local closure theory?

\n**Abstract:\n**One of the old
est and best-studied models in geophysical fluid dynamics is that of stoch
astically forced turbulence governed by the barotropic vorticity equation
on the beta-plane. In the right parameter regime zonal jets\, resembling t
hose seen in the extratropics of the giant planets\, emerge spontaneously
from the turbulence. Recently\, new theories (by Srinivasan and Young\, Wo
illez and Bouchet) have emerged for how the Reynolds stresses associated w
ith the forced eddies in the system depend on the local flow conditions. S
uch theories hold the promise of a closure in which the resulting jet prof
iles could be explained by a single equation. The aim of the talk is to in
troduce these theories\, reconcile their (apparent) contradictions\, discu
ss their potential usefulness and their limitations\, and explain why the
answer to the titular question is\, generally\, no\, but perhaps in some s
pecial situations\, yes.

**Dr David Ham\n**

\n

\n

In this talk I will explain a totally different way of creating model code. Rather than implementing an algorith m\, a mathematician can write the PDE they want to solve\, and have the co mputer both derive the algorithm\, write the code\, and execute it in para llel. I will discuss the mathematical and computational abstractions that make this approach possible\, and sketch how a specialised compiler can tu rn mathematics into code. I’ll also discuss the automation of inverse mo delling and will touch on some of our very newest work in incorporating ex ternal data into models.

\n**Dr Zoe Goss\nTitle:** Consulta
ncy: a pathway from academia to industry

\n

\ n

\n

**Dr Josephine Park\n**

\n

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