Overview
I obtained my first degree in Mathematics and Statistics at the University of Birmingham (1987-1990). I didn’t find an application for my interest in mathematics at first, and instead chose to live in communities that promoted a sustainable way of living. I returned to education at the University of Exeter for a master’s degree in Urban Water Systems (2009-2011) and a doctoral degree in Engineering (2012-2017).
I am a Postdoctoral Research Associate, working on the CaSTCo project.
Broad research specialisms:
Flood modelling and water quality management.
Qualifications
BSc Mathematics & Statistics (Birmingham)
MSc Urban Water Systems (Exeter)
EngD Computational Fluid Dynamics (Exeter)
Research
Research interests
My research interests are in providing sustainable water and energy solutions, working in cooperation with nature whenever possible.
Research projects
Catchment Systems Thinking Cooperative (CaSTCo)
I am currently working on the CaSTCo project. My role is to model surface water and pipe network flows, and to identify nature-based solutions to reduce flooding and improve river water quality.
Joint Centre for Excellence in Environmental Intelligence (JCEEI)
Previously, I worked in the JCEEI in collaboration with the Met Office, to determine a methodology for the optimal location of wind farms in the North Sea. I also worked in CReDo, a digital twin project, aiming to provide flood modelling for areas across the UK.
Combining Autonomous observations and Models for Predicting and Understanding Shelf seas (CAMPUS)
Prior to that, I worked on the CAMPUS project, modelling the location of harmful algal blooms in the seas around the UK. I also worked with Hydro International, modelling the flow of wastewater in hydrodynamic vortex separators. I derived the adjoint drift flux equations to optimise their performance for multiphase flow.
Publications
Key publications | Publications by category | Publications by year
Publications by category
Journal articles
Ford DA, Grossberg S, Rinaldi G, Menon PP, Palmer MR, Skákala J, Smyth T, Williams CAJ, Lopez AL, Ciavatta S, et al (2022). A solution for autonomous, adaptive monitoring of coastal ocean ecosystems: Integrating ocean robots and operational forecasts. Frontiers in Marine Science, 9
Grossberg S, Jarman DS, Tabor GR (2020). Derivation of the adjoint drift flux equations for multiphase flow.
Fluids,
5(1).
Abstract:
Derivation of the adjoint drift flux equations for multiphase flow
The continuous adjoint approach is a technique for calculating the sensitivity of a flow to changes in input parameters, most commonly changes of geometry. Here we present for the first time the mathematical derivation of the adjoint system for multiphase flow modeled by the commonly used drift flux equations, together with the adjoint boundary conditions necessary to solve a generic multiphase flow problem. The objective function is defined for such a system, and specific examples derived for commonly used settling velocity formulations such as the Takacs and Dahl models. We also discuss the use of these equations for a complete optimisation process.
Abstract.
Publications by year
2022
Ford DA, Grossberg S, Rinaldi G, Menon PP, Palmer MR, Skákala J, Smyth T, Williams CAJ, Lopez AL, Ciavatta S, et al (2022). A solution for autonomous, adaptive monitoring of coastal ocean ecosystems: Integrating ocean robots and operational forecasts. Frontiers in Marine Science, 9
2020
Grossberg S, Jarman DS, Tabor GR (2020). Derivation of the adjoint drift flux equations for multiphase flow.
Fluids,
5(1).
Abstract:
Derivation of the adjoint drift flux equations for multiphase flow
The continuous adjoint approach is a technique for calculating the sensitivity of a flow to changes in input parameters, most commonly changes of geometry. Here we present for the first time the mathematical derivation of the adjoint system for multiphase flow modeled by the commonly used drift flux equations, together with the adjoint boundary conditions necessary to solve a generic multiphase flow problem. The objective function is defined for such a system, and specific examples derived for commonly used settling velocity formulations such as the Takacs and Dahl models. We also discuss the use of these equations for a complete optimisation process.
Abstract.
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