Find Academic Supervisors

Joseph BattalioView profile

Research Fellow

• Planetary Atmospheres
• Atmospheric Dynamics
• Climate Science
• +3 more

Joseph Battalio, Ph.D., is a Postdoctoral Associate in the Department of Earth and Planetary Sciences at Yale University. His research focuses on planetary atmospheric dynamics, with a particular emphasis on Mars, Titan, and Earth. He has developed the Mars Dust Activity Database, cataloging dust activity on Mars between 1999 and 2015. His current work at Yale involves simulating convection on Titan using the Titan Atmosphere Model (TAM), studying storm track dynamics on Earth, and investigating dust storms on Mars. His research interests include understanding the large-scale dynamics of planetary atmospheres, particularly the interactions between dust events and atmospheric processes. He applies advanced modeling techniques to explore these phenomena, contributing to our knowledge of climate systems across different planetary environments. Dr. Battalio collaborates on projects involving Mars climate studies and has contributed to the development of atmospheric models for Titan. His work bridges the gap between theoretical climate dynamics and observational data, aiming to provide insights into both terrestrial and extraterrestrial atmospheric behaviors.

• Atmospheric Science
• Meteorology
• Climate Dynamics
• +3 more

Tom Frame is a researcher at the University of Reading's Department of Meteorology, School of Mathematical, Physical and Computational Sciences. His work focuses on atmospheric dynamics, climate variability, and advanced weather forecasting techniques, particularly in jet stream behavior, convection-permitting ensemble modeling, and tropical-extratropical interactions. He has contributed to understanding North Pacific and Atlantic jet stream trends, extreme precipitation forecasting, and sub-seasonal prediction in Southeast Asia. Frame's research emphasizes improving forecast accuracy through ensemble methods and analyzing climate dynamics using observational and model data. Key research interests include jet stream dynamics, ensemble forecasting systems, tropical variability impacts, and the predictability of high-impact weather events. His studies often bridge observational analysis with numerical modeling, addressing gaps in understanding weather patterns and their long-term climate context. Frame collaborates on interdisciplinary projects like the DIAMET initiative, exploring cyclone dynamics and cloud processes.

• equatorial waves
• tropical meteorology
• climate dynamics
• +3 more

Yang Gui-Ying is a distinguished researcher in meteorology and climate dynamics affiliated with the University of Reading's Department of Meteorology within the School of Mathematical, Physical and Computational Sciences. Her work focuses on equatorial waves, tropical atmospheric dynamics, and climate modeling. Key areas include the role of equatorial waves in tropical cyclones, Hadley Cell variability, and interactions between convection and large-scale circulations. She has contributed to advancing methodologies for identifying equatorial waves in observational data and improving seasonal predictions of extreme weather events in Southeast Asia. Her research spans studies on Borneo vortices, Madden-Julian Oscillation (MJO), and the influence of QBO phases on stratospheric wave propagation. Collaborations with institutions like the Hadley Centre and NCAS highlight her involvement in climate model evaluations and systematic error analysis. Recent work emphasizes equatorial waves as precursors for tropical cyclones and their integration into hybrid forecasting systems. Publications highlight her expertise in atmospheric circulation patterns, including the Hadley Cell's structure and tropical convection's role in driving these systems. Her contributions have advanced understanding of multi-scale interactions in tropical meteorology and improved climate model performance through detailed wave dynamics analysis.

Ross BannisterView profile

Research Fellow

• Data Assimilation
• Inverse Modelling
• Convective-Scale Data Assimilation
• +5 more

Ross Bannister is a Senior Research Fellow at the National Centre for Earth Observation (NCEO) and part of the Department of Meteorology at the University of Reading. His primary role involves advancing data assimilation techniques and their integration with machine learning, particularly in meteorological and environmental science contexts. He lectures on NERC/NCEO/DARC training courses focused on data assimilation and its applications. Affiliations: NCEO, University of Reading's Meteorology Department Research Interests: Data assimilation, inverse modeling, convective-scale dynamics, and background error covariance modeling His research spans projects like the Ocean Reanalysis Algorithms for Climate Studies (ORACS) and contributions to initiatives such as DIAMET and FFIR, improving weather prediction and flood forecasting. Recent publications highlight advancements in hybrid ensemble-variational methods, ecosystem connectivity analysis, and model development (e.g., the Hydro-ABC framework). He actively supervises PhD students in topics like satellite data assimilation and marine modeling. Bannister’s work emphasizes bridging observational data with computational models to enhance Earth system understanding, with a focus on high-resolution forecasting and reanalysis systems.

Russell GlazerView profile

Research Fellow

• Extreme Weather
• Climate Change
• Meteorology
• +3 more

Russell Glazer is a Research Fellow at the Department of Meteorology, University of Reading. His research focuses on extreme weather, severe convection, boundary layer meteorology, urban meteorology, tropical climate, and paleoclimate modeling. He is involved in high-profile projects such as the ERC Synergy Urbisphere (https://urbisphere.eu/) and the NERC ASSURE initiative on across-scale urban environment processes. Glazer contributes to academic governance as a member of the Research Staff Committee and delivers guest lectures in the Hazardous Weather Analysis module. He is affiliated with major scientific organizations including the American Geophysical Union (AGU), American Meteorological Society (AMS), and European Geosciences Union (EGU).

Suzanne GrayView profile

Professor

• Mesoscale weather processes
• Extratropical cyclones
• Arctic cyclones
• +5 more

Professor Suzanne Gray is a Professor of Meteorology at the University of Reading and serves as Associate Pro-Vice-Chancellor for research (Environment). She leads the Mesoscale Group which focuses on phenomena spanning horizontal length scales from approximately 1-1000 km, including gravity waves, convective storms, and cyclones. Her research interests center on mesoscale weather processes, with specific focus on extratropical, Arctic and Mediterranean cyclones, predictability of weather forecasts including ensemble forecasting, climatology of weather phenomena, and midlatitude convection. Her work examines diabatic influences on hazardous Mediterranean cyclones, convective cloud-dynamics-turbulence interactions, sting jet dynamics, and the representation of polar lows in numerical weather forecasts. She investigates how atmospheric processes affect weather prediction accuracy and extreme weather events. Analysis of her recent publications reveals a strong focus on understanding and predicting extreme weather events, particularly windstorms and Mediterranean cyclones (Medicanes). Her research shows increasing attention to climate change impacts on cyclone behavior, the role of diabatic processes in cyclone development, and the application of AI techniques in weather forecasting. She frequently collaborates with international researchers and institutions, particularly through NERC-funded projects. Professor Gray actively supervises numerous PhD students and postdoctoral researchers, with current projects focusing on Mediterranean cyclones, Arctic cyclones, trapped lee waves, and convective-scale ensemble forecasts. She leads several major research initiatives including the Diabatic influences on current and future hazardous Med. cyclones project (2024-2028) and the CLOUDY TIME project (2023-2026) as part of the ParaChute programme. The Mesoscale Group she leads meets weekly for research discussions and includes academic staff, postdoctoral researchers, PhD students, and Met Office researchers who collaborate closely through the MetOffice@Reading partnership.

Carol HalliwellView profile

Research Fellow

• Atmospheric Science
• Meteorology
• Convective Scale Modelling
• +3 more

Dr. Carol Halliwell is a Senior Scientist in Urban-scale Modelling Research at MetOffice@Reading, affiliated with the University of Reading's Department of Meteorology. Her research focuses on subgrid-scale mixing in convective-scale versions of the Unified Model, including turbulence schemes and boundary layer dynamics. She holds a PhD in Atmospheric Convection from the University of Leeds and a Bachelor's in Mathematics. Her work involves idealized modeling to assess subgrid turbulence configurations, stochastic backscatter schemes, and high-resolution simulations (1 km to 100 m). Carol maintains the Idealized Unified Model, supporting both Met Office and external researchers. She contributed to GCSS intercomparisons and developed code features like bi-periodic boundary conditions and Smagorinsky-Lilly-based turbulence schemes.

Kirsty HanleyView profile

Researcher

• Meteorology
• Atmospheric Science
• Numerical Weather Prediction
• +5 more

Dr. Kirsty Hanley is a Senior Scientist at the Met Office and affiliated with the Department of Meteorology at the University of Reading. Her research focuses on high-resolution numerical weather prediction, urban-scale meteorology, and convection processes. She specializes in model development and evaluation, particularly through projects like the Met Office Unified Model-JULES configurations (RAL1, RAL2, RAL3). Her work addresses challenges in simulating convective storms, turbulence parameterizations, and urban heat impacts, with contributions to field campaigns such as WesCon and the Paris 2024 Olympics weather modeling. Her research interests span mesoscale meteorology, atmospheric dynamics, and the application of observational data (e.g., Doppler lidar, radar networks) to improve model accuracy. She has collaborated internationally on projects like the Convective Precipitation Experiment (COPE) and the DYMECS project, which investigate storm morphology and prediction uncertainties. Her expertise extends to operational weather testbeds and ensemble forecasting techniques for severe weather events. Dr. Hanley’s publications highlight advancements in model parameterization, urban climate modeling, and tornado dynamics. She has contributed to both academic research and practical applications, such as optimizing weather forecasting for major events like the Olympics. While no specific awards are listed, her extensive peer-reviewed output reflects her impactful contributions to meteorological science.

Robert PlantView profile

Professor

• Atmospheric Convection
• Model Parameterization
• Synoptic Meteorology
• +3 more

Professor Robert Plant is a Professor of Atmospheric Convection at the Department of Meteorology, University of Reading. He chairs the Staff Student Partnership Group and organizes the Department's careers fair. His research focuses on physics-dynamics interactions, particularly model parameterizations and their impacts on weather dynamics. Key interests include atmospheric convection's role in numerical models, synoptic-scale systems, boundary layer processes, and ensemble forecasting methodologies. Research projects include Scale-adaptive sub-grid methods, mesoscale convective systems representation, and the Turbulent Processes programme. He supervises postdoctoral researchers and PhD students working on topics ranging from convective parameterization theory to forecast predictability. Current students: 7 postdocs/PhD candidates Key collaborations: ParaCon parameterization initiative No scientific awards explicitly listed in provided texts.

Neil LareauView profile

Assistant Professor

• Wildfire Dynamics
• Fire Weather
• Atmospheric Convection
• +3 more

Neil Lareau is an Assistant Professor in the Department of Atmospheric Sciences at the University of Nevada, Reno. His research focuses on high-impact weather phenomena in the western U.S., particularly wildfire plume dynamics, fire weather, and complex terrain meteorology. He holds a BFA in Fine Arts from Carnegie Mellon University and advanced degrees in Atmospheric Science from the University of Utah. Prior to his current role, he was faculty at San Jose State University and a postdoctoral scholar at Lawrence Livermore National Laboratory. Education: Ph.D. in Atmospheric Science, University of Utah (2014) M.S. in Atmospheric Science, University of Utah (2010) BFA in Fine Art, Carnegie Mellon University (2002) Research Interests: Fire weather and wildfire plume dynamics Complex terrain boundary layers Cumulus convection and orographic precipitation Synoptic-scale weather systems His work integrates radar observations and numerical simulations to study coupled fire-atmosphere interactions, with recent focus on pyrocumulonimbus (PyroCb) events and their climatic impacts. Key projects include the California Fire Dynamics Experiment (CalFiDE) and the INSPYRE experiment. Recent Contributions: Developed methods to track wildfires using weather radar data Investigated fire-generated tornadic vortices (e.g., Carr Fire vortex) Advanced understanding of extreme pyroconvective updrafts in megafires Teaching: Courses include Airflow and Weather Dynamics (ATMS 410/610) and Introduction to Synoptic Meteorology (ATMS 413/613). Labs/Teams: Active in collaborative projects like RaDFIRE (Rapid Deployments to Wildfires) and the Desert Research Institute partnerships.

• Fluid Dynamics
• Turbulence
• Aerodynamics
• +5 more

Sergei Chernyshenko is a Professor of Aerodynamics in the Department of Aeronautics at Imperial College London, Faculty of Engineering. His long-term research focuses on fundamental challenges in fluid mechanics including turbulence theory, scale interaction, drag reduction, and high-Reynolds-number asymptotics of separated flows. He has made significant contributions to applying polynomial Sum-of-Squares optimization in fluid dynamics and developing the Flow Illustrator educational tool. Education: Diploma of Mechanic, Moscow State University (1977) PhD in Physical and Mathematical Sciences, Moscow State University (1983) DSc (Doctor of Sciences) in Physical and Mathematical Sciences, Moscow State University (1995) Research Interests: Prof. Chernyshenko's work spans theoretical fluid dynamics with strong mathematical foundations, focusing on turbulence modeling, drag reduction techniques, vortex dynamics, flow stability analysis, and innovative computational methods like Sum-of-Squares optimization. His research bridges fundamental understanding with practical applications in aerospace engineering. Recent Publications: His most recent articles demonstrate a consistent focus on developing advanced mathematical frameworks for fluid dynamics, including optimization techniques for dynamical systems, turbulence modeling improvements, and stability analysis. The works feature interdisciplinary approaches combining applied mathematics, computational methods, and experimental fluid mechanics. Leadership: He served as Director of the MSc in Advanced Computational Methods (2008-2024) and maintains an active research group investigating theoretical fluid mechanics and collaborations with international institutions.

• Fluid Dynamics
• Hydrodynamic Stability
• Turbulence Modeling
• +3 more

Yongyun Hwang is Professor of Fluid Mechanics at Imperial College London's Department of Aeronautics. His research combines theoretical and computational approaches to study instabilities, turbulence, pattern formation, and biological fluid systems. Research interests include hydrodynamic stability theories, turbulence phenomena, biological pattern formation, and active fluid dynamics. Current work focuses on reduced-order modeling of turbulent flows and dynamics of active filaments. Recent publications concentrate on turbulence modeling, reduced-order approaches for flow systems, and nonlinear dynamics in biological contexts. Research demonstrates advanced computational techniques for analyzing wall-bounded turbulence and pattern formation. Leads the Instability, Turbulence & Pattern Formation Group and collaborates internationally on fluid dynamics research.

Ryan AbernatheyView profile

Associate Professor

• Physical Oceanography
• Climate Science
• Mesoscale Turbulence
• +4 more

Ryan Abernathey is an Associate Professor of Earth and Environmental Sciences at Columbia University, affiliated with the Lamont Doherty Earth Observatory (LDEO). He holds a Ph.D. from MIT (2012) and a B.A. from Middlebury College, and joined Columbia in 2013 following a postdoctoral fellowship at Scripps Institution of Oceanography. His research focuses on physical oceanography, particularly the role of mesoscale turbulence (eddies, waves, jets) in Earth’s climate system, with a regional emphasis on the Southern Ocean. He develops high-resolution numerical models and leverages satellite remote sensing, while advocating for open-source software, open data, and reproducible science. His research integrates computational methods like machine learning to analyze ocean satellite observations, as seen in collaborations with Prof. Tony Jebara (Computer Science) and Dr. Joaquim Goes (LDEO). He has received prestigious awards including the Alfred P. Sloan Fellowship (2016), NSF CAREER Award, and NASA New Investigator Award. His work also explores cloud-native data repositories and computational ecosystems like Pangeo for geosciences. Abernathey’s studies address key topics such as eddy-driven transport of heat and tracers, Southern Ocean dynamics, and the impact of lateral mixing on climate variability. His recent publications emphasize submesoscale processes, Lagrangian connectivity, and machine learning applications in oceanography. Labs/Teams: Pangeo Ecosystem, LDEO Research Group Grants: NSF CAREER, Sloan Fellowship, NASA, Columbia RISE Grant

• Numerical Geophysics
• Groundwater Modelling
• Mantle Convection
• +3 more

Dr. Sia Ghelichkhan is a Tenure-Track Lecturer at the Research School of Earth Sciences (RSES) and member of the Institute for Water Futures at ANU. She holds a PhD in Geophysics from Ludwig Maximilian University of Munich (2019). Her expertise lies in numerical geophysics, particularly in developing large-scale models for groundwater systems, mantle convection, and glacio-isostatic adjustment. As co-lead of the Geoscientific Adjoint Optimisation Platform (G-ADOPT), she integrates advanced numerical methods to address Earth system dynamics. Her research combines adjoint data assimilation techniques with observational data to constrain mantle flow and geodynamic processes. Research interests focus on continental-scale groundwater modelling, mantle rheology, and dynamic topography. She leads projects on mantle convection retrodictions (e.g., early Cenozoic Atlantic region) and collaborates on global geodynamic models. Supervised student: Ruby Turner. Affiliations include the Environmental Geodesy Research Group and Climate & Ocean Geoscience Department. Active in high-resolution mantle flow simulations and exascale computing initiatives (e.g., TerraNeo). Awards: Not explicitly listed in provided texts. Grants include ANU Futures Scheme 2.0 and projects on sea-level modelling, geodynamic inversion, and mantle flow reconstructions. Laboratory involvement through G-ADOPT platform development.

• Atmospheric Science
• Climate Science
• Meteorology
• +5 more

Hanna Joos is a Lecturer at ETH Zurich's Department of Environmental Systems Science (D-USYS), specifically within the Institute of Atmosphere and Climate. Her research focuses on cloud formation mechanisms and their impact on atmospheric circulation, particularly in extratropical weather systems. She employs numerical weather prediction models and Lagrangian diagnostics to analyze microphysical processes and their dynamical effects. Additionally, she coordinates the Master's program in Atmospheric and Climate Science at D-EAPS and oversees the 'Major Atmosphere and Climate' program in D-USYS's Environmental Sciences curriculum. Her work bridges climatology and meteorology, with recent studies emphasizing warm conveyor belts (WCBs), extratropical cyclones, and climate model validation using reanalysis data (e.g., ERA5). Key contributions include analyzing WCB impacts on precipitation, ice sheet dynamics during extreme Antarctic heat waves, and future climate projections. She collaborates extensively with institutions like ECMWF and leverages satellite observations (CloudSat, CALIPSO) to validate cloud and circulation models. Publications highlight interdisciplinary approaches, combining observational data with high-resolution simulations to address climate extremes and atmospheric dynamics. Her teaching and coordination roles reflect her commitment to advancing climate science education at ETH Zurich. Research interests span cloud physics, radiative forcing, and the interplay between mesoscale processes and large-scale climate patterns.