13:00 MJC_2006 ApplK. Shafer Smith (New York University): Estimating submesoscale transport from observations of the ocean's surface height field
The radar interferometer aboard NASA's Surface Water Ocean Topography (SWOT) satellite measures sea surface height (SSH) in parallel 50 km wide swaths, resolving SSH features (in low-noise regions) at scales below 1 kilometer. This presents a landmark opportunity to quantify upper ocean submesoscale fluxes on a global scale. However, inferring submesoscale surface velocities from this data presents a challenge. While geostrophic balance provides accurate estimates of surface velocities at scales seen by traditional nadir altimetry, it is insufficient at SWOT scales for two reasons: (1) submesoscale dynamics is characterized by O(1) Rossby number and exhibit a wide range ageostrophic motions like convergent fronts and strong vortical asymmetry; and (2) inertia-gravity waves (IGWs) strongly influence SSH at these scales. Both of these types of motions are ageostrophic, but only the former achieves significant transport. The latter is confounding because their super-inertial timescales make it infeasible to remove them from the 21-day repeat cycle SWOT data using temporal filtering. Alternate methods, not relying on geostrophy or temporal filtering, need to be developed if we wish to quantify non-wave submesoscale processes from SWOT.
Along with many collaborators on the SWOT Science Team, we have focused on a multi-pronged effort to estimate the upper-ocean's "transport-active" velocity field from satellite data, using a mix of dynamical, statistical, and machine-learning approaches. In this talk, I'll touch on past work developing the use of joint PDFs of vorticity-strain-divergence to isolate convergent fronts, strong cyclones, and internal waves from flow snapshots, and their use in guiding machine learning methods to recover velocity from SSH. From current efforts I'll discuss two distinct efforts, one on the use of data-assimilating generative diffusion models to extrapolate partial observations to provide spatio-temporal maps of SSH, and in progress work using higher-order balance models to recover non-geostrophic flow from these satellite-derived 2D SSH maps. My aim is to leave you with an understanding of the complexities of the overall task, and how these seemingly-disjoint projects fit together.
Venue: MJC_2006 (Mountjoy Centre)
14:00 MCS0001 ASGDon Zagier (MPIM Bonn, ICTP Trieste): Modular forms, mock modular forms, and quantum modular forms
Venue: MCS0001
16:00 zoom A&CLaurentiu Rodina (BIMSA): "Cosmological Wavefunctions Are Amplitudes, and Hidden Zeros Are Shuffle Factorization"
Venue: zoom
Online: https://teams.microsoft.com/meet/351549099592375?p=kXI374gG4zfNSmtsWJ
12:00 MCS2068 G&TZhang Rongkai (Osaka): Rigidity of the Borell-Brascamp-Lieb inequality
Venue: MCS2068
14:00 CLC202 ASGDon Zagier (MPIM Bonn, ICTP Trieste): Modular forms, mock modular forms, and quantum modular forms
Venue: CLC202
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These events are hosted in and/or organised by members of the Department (follow links for details):
Jun 11 [CG93] 2026 Collingwood Lecture [Don Zagier]: The oldest and newest, the easiest and hardest maths problems
Venue: CG93 at/from 14:00
Link: here
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Contact: arthur.lipstein@durham.ac.uk
Jun 10 16:00 Laurentiu Rodina (BIMSA): "Cosmological Wavefunctions Are Amplitudes, and Hidden Zeros Are Shuffle Factorization"
Venue: zoom
Usual Venue: MCS2068
Contact: yohance.a.osborne@durham.ac.uk
No upcoming seminars have been scheduled (not unusual outside term time).
Usual Venue: MCS3070
Contact: andrew.krause@durham.ac.uk
Jun 08 13:00 K. Shafer Smith (New York University): Estimating submesoscale transport from observations of the ocean's surface height field
The radar interferometer aboard NASA's Surface Water Ocean Topography (SWOT) satellite measures sea surface height (SSH) in parallel 50 km wide swaths, resolving SSH features (in low-noise regions) at scales below 1 kilometer. This presents a landmark opportunity to quantify upper ocean submesoscale fluxes on a global scale. However, inferring submesoscale surface velocities from this data presents a challenge. While geostrophic balance provides accurate estimates of surface velocities at scales seen by traditional nadir altimetry, it is insufficient at SWOT scales for two reasons: (1) submesoscale dynamics is characterized by O(1) Rossby number and exhibit a wide range ageostrophic motions like convergent fronts and strong vortical asymmetry; and (2) inertia-gravity waves (IGWs) strongly influence SSH at these scales. Both of these types of motions are ageostrophic, but only the former achieves significant transport. The latter is confounding because their super-inertial timescales make it infeasible to remove them from the 21-day repeat cycle SWOT data using temporal filtering. Alternate methods, not relying on geostrophy or temporal filtering, need to be developed if we wish to quantify non-wave submesoscale processes from SWOT.
Along with many collaborators on the SWOT Science Team, we have focused on a multi-pronged effort to estimate the upper-ocean's "transport-active" velocity field from satellite data, using a mix of dynamical, statistical, and machine-learning approaches. In this talk, I'll touch on past work developing the use of joint PDFs of vorticity-strain-divergence to isolate convergent fronts, strong cyclones, and internal waves from flow snapshots, and their use in guiding machine learning methods to recover velocity from SSH. From current efforts I'll discuss two distinct efforts, one on the use of data-assimilating generative diffusion models to extrapolate partial observations to provide spatio-temporal maps of SSH, and in progress work using higher-order balance models to recover non-geostrophic flow from these satellite-derived 2D SSH maps. My aim is to leave you with an understanding of the complexities of the overall task, and how these seemingly-disjoint projects fit together.
Venue: MJC_2006 (Mountjoy Centre)
Usual Venue: MCS2068
Contact: herbert.gangl@durham.ac.uk
Jun 08 14:00 Don Zagier (MPIM Bonn, ICTP Trieste): Modular forms, mock modular forms, and quantum modular forms
Venue: MCS0001
Jun 15 14:00 Don Zagier (MPIM Bonn, ICTP Trieste): Modular forms, mock modular forms, and quantum modular forms
Venue: CLC202
Usual Venue: OC218
Contact: mohamed.anber@durham.ac.uk
For more information, see HERE.
No upcoming seminars have been scheduled (not unusual outside term time).
Usual Venue: MCS0001
Contact: inaki.garcia-etxebarria@durham.ac.uk,sunil.chhita@durham.ac.uk
No upcoming seminars have been scheduled (not unusual outside term time).
Usual Venue: MCS0001
Contact: alpar.r.meszaros@durham.ac.uk
No upcoming seminars have been scheduled (not unusual outside term time).
Usual Venue: MCS3052
Contact: andrew.krause@durham.ac.uk
No upcoming seminars have been scheduled (not unusual outside term time).
Usual Venue: MCS3070
Contact: daniel.n.disney@durham.ac.uk
No upcoming seminars have been scheduled (not unusual outside term time).
Usual Venue: MCS2068
Contact: martin.p.kerin@durham.ac.uk
Jun 11 12:00 Zhang Rongkai (Osaka): Rigidity of the Borell-Brascamp-Lieb inequality
Venue: MCS2068
Usual Venue: MCS3070
Contact: mendel.t.nguyen@durham.ac.uk
No upcoming seminars have been scheduled (not unusual outside term time).
Usual Venue: MCS0001
Contact: p.e.dorey@durham.ac.uk,enrico.andriolo@durham.ac.uk,tobias.p.hansen@durham.ac.uk
No upcoming seminars have been scheduled (not unusual outside term time).
Usual Venue: MCS2068
Contact: tyler.helmuth@durham.ac.uk,oliver.kelsey-tough@durham.ac.uk
No upcoming seminars have been scheduled (not unusual outside term time).
Usual Venue: MCS2068
Contact: michael.r.magee@durham.ac.uk
No upcoming seminars have been scheduled (not unusual outside term time).
Usual Venue: MCS3070
Contact: joe.thomas@durham.ac.uk
No upcoming seminars have been scheduled (not unusual outside term time).
Usual Venue: MCS2068
Contact: hyeyoung.maeng@durham.ac.uk,andrew.iskauskas@durham.ac.uk
No upcoming seminars have been scheduled (not unusual outside term time).
Contact: adam.stone2@durham.ac.uk
No upcoming seminars have been scheduled (not unusual outside term time).
These link to some of the special events hosted by the Department: