Deliang Chen is a Professor at the Department of Earth Sciences , University of Gothenburg. His research focuses on Earth System Science, global environmental change, climate dynamics and modeling, atmospheric circulation patterns in the Third Pole Region, and regional climate impacts across Eurasia. Swedish Research Council (VR: 2019-03954) grant for Tibetan Plateau warming-Europe heatwave link Swedish National Space Agency (SNSA: 188/18) funding for convection and precipitation analysis in Third Pole Research Themes: Deliang Chen's work spans climate dynamics, high-altitude environmental monitoring, and cross-continental climate linkages, with emphasis on the Tibetan Plateau's role in global climate systems. His recent publications explore topics ranging from Antarctic warming mechanisms to socio-climatic impacts on historical empires and modern transboundary water systems. Collaborative Efforts: He works with international teams across climate modeling, ecological studies, and hydrological analyses, contributing to advancements in convection-permitting simulations, drought assessments, and sustainable development goal integration in polar regions.
Paola Mercogliano is a Principal Scientist at the CMCC Foundation and Director of the Division of Regional Models and Geo-Hydrological Impacts. With over 25 years of expertise in atmospheric and climate modeling, she specializes in high-resolution numerical models and data-driven tools for weather forecasting and climate scenario simulations at local/urban scales, focusing on extreme events and geo-hydrological hazards. Coordinates EU Adaptation AGORA project under Mission on Climate Adaptation Scientific leader of Dataclime platform for climate data visualization President of Italian Society of Climatology (2025–2026) Her research integrates climate science into policy and territorial planning, emphasizing climate risk assessment, urban resilience, and public-private stakeholder engagement. She has authored >80 publications and leads climate literacy initiatives through university partnerships. Scientific Contributions: Developed frameworks for climate risk assessment of built environments and airports Explored convection-permitting simulations for extreme precipitation Advanced urban parameterization in ICON and COSMO models Her work spans climate projections, wind energy analysis, irrigation demand under climate change, and socio-economic impacts of climate risks. Scientific Awards: President of Italian Society of Climatology (2025–2026) She actively contributes to climate outreach through educational programs and digital academies, bridging climate science with policy implementation.
Jens Hesselbjerg Christensen is a Professor of Climate Physics at the Niels Bohr Institute, University of Copenhagen, Denmark, a position he has held since March 2017. He also serves as a Principle Researcher (20%) at NORCE Climate in Bergen, Norway. His distinguished career spans over three decades in climate research with progressively responsible positions at the Danish Meteorological Institute. His research focuses on: Regional climate and regional climate models Climate and atmospheric dynamics and climate modeling Communication and assessment of climate change to policymakers Christensen's publication record demonstrates exceptional impact with 132 articles cited over 25,000 times (Web of Science) and an H-index of 51. His recent work emphasizes regional climate impacts across the Nordic region, Arctic, and Europe, with particular attention to precipitation extremes, sea ice dynamics, and climate change attribution. His research often involves large international collaborations through initiatives like the IPCC and Arctic-CORDEX. His notable scientific recognition includes: ERC-Synergy Grant (2014-2019) Contributing to the IPCC's Nobel Peace Prize (2007) Professor Christensen has played pivotal roles in international climate assessment, serving as Coordinating Lead Author for multiple IPCC Assessment Reports. As Principal Investigator, he has secured substantial research funding totaling 27 million Euros across numerous national and European projects. His service includes membership on the WCRP Joint Scientific Committee (2015-2022) and editorial responsibilities for JGR-Atmospheres (2010-2022).
Professor Sarah L Dance is a Professor of Data Assimilation and EPSRC Senior Fellow in Digital Technology for Living With Environmental Change at the University of Reading's Department of Mathematics and Statistics, part of the School of Mathematical, Physical and Computational Sciences. She leads the Data Assimilation Research Centre (DARC) and focuses on advancing data assimilation techniques in weather forecasting, hydrology, and environmental monitoring. Her work integrates cutting-edge computational methods with real-world applications, particularly in improving flood prediction and soil moisture estimation through innovative modeling approaches. Her research interests span data assimilation algorithms, remote sensing applications, and numerical modeling of environmental systems. Recent work emphasizes the use of satellite data, radar observations, and deep learning for environmental monitoring and disaster management. She collaborates extensively with international institutions on projects like Hydro-JULES and the Transatlantic Data Science Academy, advancing both theoretical and applied aspects of environmental data science. Professor Dance has contributed to operational systems such as the Met Office's data assimilation frameworks and has pioneered methods to handle observation uncertainty in high-resolution models. Her projects often bridge academia and industry, addressing challenges in flood forecasting, climate modeling, and sensor data integration.
Dr. Guannan Hu is a Researcher at the Department of Meteorology, University of Reading, School of Mathematical, Physical and Computational Sciences. With a focus on data assimilation and numerical weather prediction, their work addresses critical challenges in high-impact weather forecasting. Research Interests: Specializing in data assimilation methodologies, observation impact assessment, and computational efficiency improvements for weather prediction systems. Their work spans convection-permitting models, error covariance estimation, and multiscale modeling. Publication Trends: Recent research (2021–2025) explores advanced computational methods like localized fast multipole algorithms, observation error covariance estimation, and ensemble-based sensitivity analysis for hazardous weather prediction. Key themes include optimizing data assimilation frameworks and improving extreme weather forecasting accuracy. Collaborative Projects: Active participant in the DARE (Data Assimilation for the REsilient city) initiative (2020–2022) and the Centaur Publications program. Former Principal Researcher in the DARE Pilot Project (2021).
Athanasios Paschalis is a Lecturer in Hydrology at the Department of Civil and Environmental Engineering, Faculty of Engineering, Imperial College London. He is affiliated with the Grantham Institute, the Climate and Health initiative, and the Earth Observation Network, reflecting his interdisciplinary focus on environmental systems and climate resilience. His educational background includes a PhD in Hydrology from ETH Zurich (2013) and a degree in Civil Engineering from the National Technical University of Athens (2009). Prior to joining Imperial College in 2017, he held research positions at Duke University (2014–2015) and the University of Southampton (2015–2017). Dr. Paschalis's research centers on ecohydrological and ecosystem modelling, with emphasis on soil-plant-atmosphere interactions, stochastic methods for hydrological applications, and climate change impacts. He develops and applies the Tethys-Chloris (T&C) model to study vegetation dynamics, carbon and water cycles, and urban climate effects. His work integrates computational modelling with field and satellite data to assess risks related to natural hazards, urban heat islands, and ecosystem productivity under changing climates. His recent publications (2023–2025) demonstrate a strong trend toward interdisciplinary environmental modelling, particularly in urban sustainability, climate mitigation (e.g., enhanced rock weathering), and agricultural resilience. The articles reflect expertise in ecohydrology, urban climate, and high-resolution climate modelling, often using convection-permitting simulations and mechanistic ecosystem models. Dr. Paschalis has no listed scientific awards in the provided text. He advises students in hydrology and environmental engineering, though specific names are not listed. His research is supported by interdisciplinary collaborations across climate science, urban planning, and environmental engineering. He has contributed to projects on urban flood risk, green infrastructure, and the co-benefits of climate adaptation strategies. He leads and contributes to research within collaborative networks focused on climate resilience, including the Grantham Institute and Earth Observation Network, and his work often involves numerical modelling of urban and natural systems under future climate scenarios.
Henry Addison is a Senior Research Associate at the School of Geographical Sciences, University of Bristol. His research focuses on advancing climate science through machine learning techniques, particularly in the emulation of high-resolution regional climate models. He holds a BA, MMath, and MSc, and his work addresses critical challenges in climate prediction, extreme weather analysis, and computational efficiency of climate simulations. His research interests include developing machine learning frameworks to enhance the scalability and accuracy of climate models, with applications in understanding local climate change impacts, precipitation patterns, and environmental risk assessment. His recent studies emphasize diffusion models and emulation techniques for improving the resolution and accessibility of climate data. Publications highlight trends in machine learning-driven climate emulation, downscaling methodologies, and predictive modeling of extreme weather events. While no explicit awards or grants are mentioned, his work aligns with cutting-edge climate science and computational innovation.
Yanping Li is an Adjunct Professor at the University of Saskatchewan, focusing on regional climate modelling, mesoscale dynamics, boundary layer meteorology, and air-sea interaction. Her work bridges climate science and agricultural sustainability through advanced modelling techniques. Research Area(s): Regional climate modelling, Mesoscale dynamics, Boundary layer meteorology, Air-sea interaction Email: yanping.li@usask.ca Her research integrates climate models with agricultural and hydrological systems, emphasizing climate change impacts on food security, irrigation efficiency, and extreme weather events. Recent projects analyze agroclimatic indices, convection-permitting simulations, and wetland cooling effects in Western Canada and North China Plain. Key trends in her publications include: Climate change adaptation in agriculture Convection-permitting regional climate models Land-surface interactions and groundwater dynamics High-resolution hydrological evaluations
Dr Martin Jucker is a Senior Lecturer at the Climate Change Research Centre under the Faculty of Science at the University of New South Wales . He serves as Master's Program Director for the NSW Bushfire and Natural Hazards Research Centre and holds associate roles at the ARC Centre of Excellence for Climate Extremes and Australian Centre for Excellence in Antarctic Science . His research bridges atmospheric dynamics , climate modeling , and stratosphere-troposphere coupling , with a focus on sudden stratospheric warmings , extratropical cyclones , and climate extremes . A ORCID-registered scientist, he has received awards like the Wiley Top Cited Article (2021-22) and WCRP Future Leader in Climate Science (2016). As an educator, he convenes the undergraduate course 'Fundamentals of Atmospheric Science' (CLIM2001/PHYS2801) covering radiation, thermodynamics, and climate modeling. His PhD studentship at EPFL and postdoctoral work at Princeton , New York University , and University of Melbourne established expertise in wave-mean flow interaction and plasma physics . With over 20 journal articles in 2024-2025 alone, his work spans stratospheric water vapor impacts , zonal wave patterns , and convective biases in climate models . His software package aostools enables proper Eliassen-Palm flux vector visualization . Scientific Awards include: Top Cited Article (Wiley, 2021-22) WCRP Future Leader of Climate Science (2016) Young Scientist Award Nomination (WMO, 2017) Art of Science Winner (Princeton, 2013) AIP Physics of Plasmas Editor's Choice (2012) His supervision of Valentina Ortiz Guzman to PhD completion in 2024 marks a milestone in his mentorship career. Beyond academia, he contributes to public communication via climate visualizations and serves as a lifeguard at Coogee SLSC , while maintaining creative pursuits as saxophonist in bands like Upside Under and The Big Thong .
Ottar Tamm is an Assistant Professor of Hydroinformatics (tenure-track) at the Chair of Rural Building and Water Management , part of the Institute of Forestry and Engineering at the Estonian University of Life Sciences in Tartu, Estonia. His research integrates hydrology, climate science, and sustainable engineering, with a focus on cold-climate applications. Research Focus Dr. Tamm specializes in: Stormwater management systems and urban flood risk mitigation Climate change adaptation strategies for water infrastructure Optimization of low-impact development (LID) solutions Hydropower potential modeling using geospatial tools Methane emission controls in landfill environments His work frequently employs computational models like SWMM and SWAT to address hydrological challenges in Nordic regions. Publication Trends Recent articles (2018-2025) demonstrate: Strong emphasis on climate change impacts on water systems Development of practical tools for stormwater management optimization Interdisciplinary approaches combining environmental engineering, geoinformatics, and climate science Field validation of sustainable technologies in cold climates
Dr. Heidi Heinrichs is a Professor and Department Head for "Resource Strategies" at Forschungszentrum Jülich GmbH, specializing in energy systems analysis and sustainability. Her work focuses on material bottlenecks in the energy transition, global energy strategies, and renewable resource assessment. Institute of Climate and Energy Systems (ICE) Juelich Systems Analysis (ICE-2) Her research explores green hydrogen , energy storage , and robust supply chains , with recent articles analyzing hydrogen cost-potentials in Sub-Saharan Africa, geothermal energy economics, and wind power assessments using high-resolution atmospheric modeling. Publications emphasize global energy transitions , material flow analysis , and weather-driven system resilience , addressing challenges in hydrogen infrastructure, renewable integration, and resource optimization.
Dr. Thanti Octavianti is a Senior Lecturer in Applied Geography at the University of the West of England. Her research focuses on flood resilience, water security measurement, and responsible AI in disaster risk reduction. She serves on the steering committee of the Household Water Insecurity Experiences Scale – Research Coalition Network (HWISE RCN) and is an editor for Water International . Education: PhD in Geography and the Environment from Oxford University (2019), MSc in Water Science, Policy, and Management from Oxford University (2014), BEng in Environmental Engineering from Universitas Indonesia (2011). Her research explores socio-political dynamics of water infrastructure, including Jakarta’s 400-year flood policy evolution and its seawall megaproject. She investigates water security measurement methods and leads projects on AI ethics in disaster management. Recent publications highlight interdisciplinary approaches to compound hydrological risks, climate-water interlinkages, and sustainable energy integration in Southeast Asia. Her work bridges engineering, environmental policy, and social sciences. Scientific Awards: 2015 & 2018 Graduate Academic Prize, Trinity College, Oxford Jardine Foundation Scholarships for MSc (2013–2014) and PhD (2015–2019) Current projects include Principal Investigator roles on grants from the British Council and Royal Society, addressing machine learning accountability in disaster management and transnational water resilience initiatives in Vietnam and Indonesia.
John Methven is a Professor of Meteorology at the University of Reading's Department of Meteorology within the Faculty of Science. His research focuses on atmospheric dynamics, tropical and extratropical cyclones, equatorial waves, and numerical weather prediction. He has contributed extensively to studies on Arctic cyclones, jet stream dynamics, and model validation using advanced techniques like potential vorticity analysis. Key projects include the THINICE field campaign examining Arctic cyclone interactions and the NAWDEX study of North Atlantic jet streams. Methven collaborates internationally, publishing in leading journals such as Quarterly Journal of the Royal Meteorological Society and Journal of Climate . His work bridges theoretical meteorology with operational forecasting, addressing climate change impacts and improving prediction accuracy for extreme weather events. Education: Ph.D. in Atmospheric Sciences (inferred from career trajectory) Affiliations: European Center for Medium-Range Weather Forecasts (ECMWF) collaborations, North Atlantic Waveguide and Downstream Impact Experiment (NAWDEX) Research interests emphasize dynamical processes in mid- and high-latitude systems, including cold fronts, warm conveyor belts, and Rossby wave interactions. His recent work explores the role of equatorial waves in tropical cyclone formation and the impact of sea-ice coupling on Arctic weather patterns. Methven has pioneered methods for Lagrangian analysis and potential vorticity inversion, advancing understanding of atmospheric transport and tracer dynamics.
Dr. Samantha Ferrett is a Research Scientist at the National Centre for Atmospheric Science (NCAS) and the Department of Meteorology at the University of Reading. She holds a Ph.D. in Mathematics and specializes in tropical climate dynamics, with a focus on improving subseasonal weather forecasts in Southeast Asia and understanding ENSO teleconnections. Her work bridges climate modeling, equatorial wave analysis, and model evaluation to address uncertainties in future climate projections. Education: Ph.D. in Mathematics (institution unspecified) Research Interests: Her research focuses on tropical climate representation in coupled models, equatorial wave dynamics, and ENSO impacts on high-impact weather. Key areas include: Linking equatorial waves to extreme precipitation in Southeast Asia Quantifying uncertainties in tropical Pacific climate projections Evaluating model biases in ENSO feedbacks and teleconnections Developing hybrid dynamical-statistical forecast methods for subseasonal prediction Recent Projects: FORWARDS : Investigating drivers of high-impact weather in Southeast Asia as part of the World Climate Research Programme (WCRP). Analysis of convection-permitting ensemble forecasts over tropical regions. Advising & Teaching: Co-supervised MSc projects on topics such as Borneo Vortex structure, Indonesian flooding, and climate impacts on cocoa production (e.g., Muhammad Subagya Prihatmaja, Prabu Aditia S.). Delivered Python workshops for undergraduate mathematics students. Labs & Collaborations: Her work is conducted within the Department of Meteorology at the University of Reading, collaborating with institutions like the Met Office and CSSP China. Research is grounded in both observational analysis and advanced climate model diagnostics.
Dr. Alison Fowler is a Research Fellow at the University of Reading's Department of Meteorology, affiliated with the National Centre for Earth Observation (NCEO) and the Data Assimilation Research Centre. She specializes in Data Assimilation with applications to Meteorology and Marine Ecology. Her research focuses on observation impact analysis, bias correction, and improving numerical weather prediction through advanced data assimilation techniques. Education: PhD in Meteorology from the University of Reading (2010). She has held roles including Associate Editor of Monthly Weather Review and has organized international data assimilation conferences. Awards include participation in NERC's Growing Future Leaders program and travel grants for research collaboration. Research Interests: Observation impact metrics, model bias correction, coupled atmosphere-ocean systems, and marine biogeochemistry. Awards: NERC Leadership Program, Royal Meteorological Society Travel Grant, AMS Poster Prize. Supervision: Currently mentoring PhD students on topics like explainable AI in convective forecasting and ensemble-based assimilation of satellite data. Past students have focused on satellite bias correction and model error analysis. Labs/Teams: Active in the Data Assimilation Research Centre and NCEO, contributing to international initiatives like pandemic forecasting using ensemble methods.
