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+ | ====== Zoom instructions ====== | ||
+ | |||
+ | In order to have the best experience, we have a strong preference to host the seminars in person. However, for accessibility, | ||
+ | |||
+ | Join Zoom Meeting | ||
+ | https:// | ||
+ | |||
+ | < | ||
+ | Meeting ID: 943 9798 3249 | ||
+ | Passcode: 264978 | ||
+ | |||
+ | Find your local number: https:// | ||
+ | </ | ||
+ | |||
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====== 2023-24 ====== | ====== 2023-24 ====== | ||
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**Title:** Grappling with uncertainty monsters in hydrology: how can we cope? | **Title:** Grappling with uncertainty monsters in hydrology: how can we cope? | ||
+ | {{ : | ||
Hydrology, amongst other environmental sciences, is fraught with uncertainties. I will borrow a monster metaphor to explore these uncertainties in hydrology, and how our practical responses to them can sometimes lead to pathological coping strategies. I will argue that the uncertainty monster manifests in practical hydrology through a proliferation of model formulations, | Hydrology, amongst other environmental sciences, is fraught with uncertainties. I will borrow a monster metaphor to explore these uncertainties in hydrology, and how our practical responses to them can sometimes lead to pathological coping strategies. I will argue that the uncertainty monster manifests in practical hydrology through a proliferation of model formulations, | ||
- | ===== Zoom instructions | + | ===== Matthew Juniper |
- | In order to have the best experience, we have a strong preference to host the seminars in person. However, for accessibility, | + | **Date:** Tuesday 14 Nov 2023 1:15pm \\ |
+ | **From:** University of Cambridge, Energy, Fluids and Turbomachinery \\ | ||
+ | **Location: | ||
+ | **Title:** Adjoint-accelerated Bayesian Inference | ||
- | Join Zoom Meeting | + | {{ :aims: |
- | https:// | + | |
- | Further details | + | " |
- | < | + | Bayesian inference is usually prohibitively expensive, but its cost is greatly reduced if all distributions are taken to be Gaussian. This is often reasonable and can always be checked a posteriori. This allows the optimal parameter values to be found cheaply with gradient-based optimization and their posterior uncertainties, |
- | Meeting ID: 986 1392 5892 | + | |
- | Passcode: 052599 | + | |
- | --- | + | I will outline Bayesian inference, Laplace' |
- | One tap mobile | + | ===== Corwin Wright |
- | +442034815237,, | + | |
- | +442034815240,, | + | |
- | --- | + | **Date:** Tuesday 28 Nov 2023 1:15pm \\ |
+ | **From:** University of Bath, Electronic and Electrical Engineering \\ | ||
+ | **Location: | ||
+ | **Title:** How well do global km-scale models simulate convective atmospheric waves? | ||
- | Dial by your location | + | " |
- | • +44 203 481 5237 United Kingdom | + | |
- | • +44 203 481 5240 United Kingdom | + | |
- | • +44 203 901 7895 United Kingdom | + | |
- | • +44 208 080 6591 United Kingdom | + | |
- | • +44 208 080 6592 United Kingdom | + | |
- | • +44 330 088 5830 United Kingdom | + | |
- | • +44 131 460 1196 United Kingdom | + | |
- | Meeting ID: 986 1392 5892 | + | To assess this, we ideally want to compare the model output to observations. However, observations are critically limited by the ' |
- | Passcode: 052599 | + | |
+ | Here, I present preliminary results from a international team project to assess how well these models perform relative to observations, | ||
+ | |||
+ | ===== Jesse Taylor-West | ||
+ | |||
+ | **Date:** Tuesday 5 Dec 2023 1:15pm \\ | ||
+ | **From:** University of Bristol \\ | ||
+ | **Location: | ||
+ | **Title:** Corner flows of viscoplastic fluids | ||
+ | |||
+ | "Many environmental and industrial fluids are viscoplastic; | ||
+ | |||
+ | In this talk I will present solutions for flows of idealised viscoplastic fluids in corners and wedges, using matched-asymptotic methods and numerics to demonstrate how the yield stress modulates the corresponding classical Newtonian similarity solutions. These flow configurations have application to transport and processing of viscoplastic fluids, and the quasi-analytical nature of the solutions can provide new bench-marks for computational codes." | ||
+ | |||
+ | ===== Chris Budd ===== | ||
+ | |||
+ | **Date:** Tuesday 12 Dec 2023 1:15pm \\ | ||
+ | **From:** University of Bath, Mathematical Sciences \\ | ||
+ | **Location: | ||
+ | **Title:** Machine learning and PINNs | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | ===== Jonathan Cox ===== | ||
+ | |||
+ | **Date:** Tuesday 9 Jan 2023 1:15pm \\ | ||
+ | **From:** University of Bath, Department of Chemistry \\ | ||
+ | **Location: | ||
+ | **Title:** Scent capture in a hagfish | ||
+ | |||
+ | In this seminar I will explain what scent capture means, what a hagfish is, why this particular hagfish is special to the University, and why studying scent capture in a hagfish is important. I will then say what we have learnt from our study, and how this knowledge can be applied to scent-tracking robots, electronic noses, and microfluidic devices (the hagfish nose is really just a very ancient microfluidic device, pre-dating all the microfluidic lab-on-a-chip hoo-ha by about 300 million years). | ||
+ | |||
+ | The talk should appeal to anyone interested in biological flow, biology, and sensors. It will involve computational fluid dynamics (determining the pattern of flow in the hagfish nose) and numerical modelling (of scent capture), as well as some dye visualisation (to validate the computational fluid dynamics). Dogs and humans will make a brief appearance. | ||
+ | |||
+ | ===== Raphael Stuhlmeier ===== | ||
+ | |||
+ | **Date:** Tuesday 27 Feb 2023 1:15pm \\ | ||
+ | **From:** University of Plymouth \\ | ||
+ | **Location: | ||
+ | **Title:** Deterministic wave forecasting with nonlinear dispersion corrections | ||
+ | |||
+ | Deterministic wave forecasting aims to provide a wave-by-wave prediction of the free surface elevation based on measured data. Such information about upcoming waves can inform marine decision support systems, control strategies for wave energy converters, and other applications. Unlike well-developed stochastic wave forecasts, the temporal and spatial scales involved are modest, on the order of minutes or kilometres. Due to the dispersive nature of surface water waves, such forecasts have a limited space/time horizon, which is further impacted by the effects of nonlinearity. I will discuss the application of the reduced Zakharov equation, and simple frequency corrections derived therefrom, to preparing wave forecasts. Unlike procedures based on solving evolution equations (e.g. high order spectral method), such corrections entail essentially no additional computational effort, yet show marked improvements over linear theory. | ||
+ | |||
+ | ===== Eamonn Gaffney ===== | ||
+ | |||
+ | **Date:** Tuesday 12 Mar 2023 1:15pm \\ | ||
+ | **From:** Wolfson Centre for Mathematical Biology, Mathematical Institute, University of Oxford. | ||
+ | **Location: | ||
+ | **Title:** Aspects of spatial mathematical and computational modelling in developmental biology and immuno-oncology | ||
+ | |||
+ | We illustrate the versatility of spatial mathematical and computational modelling in the life sciences by first considering features of the diffusively-driven Turing instability that are relevant in developmental biology. In particular, we initially focus on a mathematical consideration of the conditions for the Turing instability in the presence of an underlying spatial heterogeneity. We then consider an application of Turing’s idea in exploring the hypothesis that the mechanism driving finger-print formation features an abrogated | ||
- | Find your local number: https:// | ||
- | </ | ||