High-Resolution Atmospheric Modelling Professors and Supervisors | ApplySharif

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Helmuth HaakView profile

Researcher

Max Planck Institute for MeteorologyGermany

Helmuth Haak serves as a Researcher at the Max Planck Institute for Meteorology in Hamburg, Germany, where he works within the Department of Climate Variability as part of the Director's Research Group (CVR). His technical expertise as a Scientific Programmer focuses on advanced climate modeling systems, particularly the ICON (Icosahedral Non-hydrostatic) modeling framework. His primary research interests span climate modeling, ocean dynamics, climate variability, and Earth system modeling, with particular emphasis on numerical methods and high-performance computing applications. Haak's work frequently addresses ocean-atmosphere interactions, model parameterization schemes, and the computational challenges of simulating complex Earth system processes at increasingly fine resolutions. Analysis of his recent publications reveals a strong focus on model development and validation, particularly in simulating ocean circulation patterns, sea level changes, and climate feedback mechanisms. His research increasingly incorporates high-resolution modeling approaches to better capture small-scale processes that influence global climate dynamics. As a key contributor to the ICON Earth System Model development, Haak collaborates extensively with an international network of climate scientists. His technical programming expertise supports critical advances in climate modeling capabilities, particularly in ocean model components and coupled system integration.

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Zoi KourkouraidouView profile

Researcher

Max Planck Institute for MeteorologyGermany

Zoi Kourkouraidou is a Researcher affiliated with the University of Hamburg and Max Planck Institute for Meteorology since 2022, focusing on Ocean Energetics and Climate Variability . Her research explores how internal tides interact with mesoscale eddies , leading to energy dissipation and diapycnal mixing in the ocean. She utilizes the high-resolution ICON-O global circulation model (5km) to address gaps in understanding these interactions globally. Key trends in her publications include mode decomposition techniques, ocean energy transfers , and high-resolution climate modeling . She collaborates with institutions like the Multiscale Ocean Dynamics Lab at Scripps Institution of Oceanography and the Climate and Fluid Physics Group at Australian National University. Supervised by Prof. Dr. Jin-Song von Storch and Dr. Manita Chouksey , her work is funded by the DFG CRC181 project on Energy transfers in atmosphere and ocean . She has presented at international conferences including Ocean Sciences Meeting (2024), EGU General Assembly (2023), and ICYMARE (2022).

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John SsebandekeView profile

Researcher

Max Planck Institute for MeteorologyGermany

John Ssebandeke is a Post-doctoral researcher at the Max Planck Institute for Meteorology, working in the Climate Variability Department within the Climate Energetics group. He also participates in the A6 project of CLICCS at Universität Hamburg and the Earth Virtualisation Engines (EVE). His educational background includes: Postdoc in Climate Science, Max Planck Institute for Meteorology (2024–Present) PhD in Meteorology, Max Planck Institute for Meteorology (2020–2024) Research Assistant, The Abdus Salam International Centre for Theoretical Physics (2019–2020) Post Graduate Diploma in Earth System Physics, The Abdus Salam International Centre for Theoretical Physics (2018–2019) MSc Physics, Makerere University (2016–2018) BSc Physics and Mathematics, Makerere University (2012–2016) His research focuses on High resolution modelling, Energetics, Human-climate dynamics, Multi-scale interactions, and Climate variability. He investigates ocean energy cycles using eddy-resolving simulations, emphasizing the role of multi-scale dynamics in climate systems. His 2022–2024 publications analyze ocean energetics and model biases, particularly the Lorenz Energy Cycle and tropical Atlantic CMIP simulations. These works advance high-resolution climate modeling and energy transfer understanding in Earth system prediction. Scientific awards: No awards mentioned Advising and grants: No student supervision or grant details documented. He actively contributes to the Climate Energetics group, CLICCS A6 project, and Earth Virtualisation Engines, driving innovations in climate variability research and predictability frameworks.

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Jiarong HongView profile

Professor

University of Minnesota Twin CitiesUnited States

Jiarong Hong is a Professor in the Department of Mechanical Engineering within the College of Science and Engineering at the University of Minnesota. He serves as Principal Investigator at the Flow Field Imaging Laboratory and leads research with the cavitation and bubbly flow group at the Saint Anthony Falls Laboratory. His work spans multiple interdisciplinary institutes including the Minnesota Robotics Institute and the Institute on the Environment. Dr. Hong's research focuses on fundamental fluid mechanics related to turbulence, atmospheric and multiphase flows, wind turbine aerodynamics, cavitation and bubbly flows, and microfluidic systems. His work integrates optical imaging and instrumentation with applications in flow diagnostics, biophysics, geophysics, medical and material sciences. His innovative approach to field flow imaging using natural snowfall has significantly advanced the study of utility-scale wind turbine flows. His recent publications demonstrate a strong trend toward practical applications of fluid mechanics in renewable energy, environmental protection, and public health. During the pandemic, his research expanded to address airborne transmission of diseases, showing his ability to pivot research toward pressing societal needs. His work consistently bridges fundamental fluid mechanics with real-world engineering applications. Robert T. Knapp Award for scale-dependent energy fluxes research Featured Article in Theoretical and Applied Mechanics Letters Editor's suggestions in Physical Review Fluids Cover Article in Acta Mechanica Sinica Cover of Journal of Fluid Mechanics Selected as highlight of Nature Communication As Principal Investigator of the Flow Field Imaging Laboratory, Dr. Hong leads a research group that develops advanced imaging techniques for fluid flow measurement. His work on super-large-scale particle image velocimetry using natural snowfall represents a significant methodological innovation in the field. His research has been supported by various funding mechanisms that enable both fundamental investigations and practical applications in wind energy and environmental fluid mechanics. Dr. Hong maintains strong collaborative relationships with researchers across multiple disciplines, as evidenced by his diverse publication record spanning mechanical engineering, environmental science, medical applications, and robotics. His laboratory serves as an interdisciplinary hub connecting fluid mechanics with practical engineering challenges.

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Heidi A. RoopView profile

Assistant Professor

University of Minnesota Twin CitiesUnited States

Heidi A. Roop serves as Assistant Professor in the Department of Soil, Water and Climate at the University of Minnesota's College of Food, Agricultural and Natural Resource Sciences. She concurrently holds appointments as Extension Specialist in Climate Science with University of Minnesota Extension, Director of the University of Minnesota Climate Adaptation Partnership, and Director for Knowledge Transfer for the NSF-funded COLDEX Science and Technology Center. Additionally, she maintains an Affiliate Assistant Professor position in the University of Washington School of Public Health. Her academic credentials include: BA from Mount Holyoke College MS from Northern Arizona University PhD from Victoria University of Wellington Dr. Roop specializes in climate science with emphasis on polar regions and Minnesota-specific climate impacts. Her research integrates climate data into community planning, policy development, and investment decisions to advance equitable climate resilience. She focuses on translating complex climate science into actionable strategies through effective communication frameworks. Her scholarly work demonstrates consistent progression from paleoclimate reconstruction (2015-2020) toward contemporary climate communication and adaptation (2019-2023). Key thematic clusters include the Iso2k paleoclimate database development, atmospheric river dynamics analysis, wildfire smoke health impacts, and practical climate action guidance as evidenced by her 2023 handbook. This trajectory reflects her commitment to bridging fundamental climate science with societal applications. Dr. Roop leads significant grant-funded initiatives including the Climate Adaptation Partnership and COLDEX Knowledge Transfer program. She trains diverse stakeholders in science communication and climate decision-support through community-based programs and university instruction. Her work emphasizes co-creation of solutions with tribal communities, government agencies, and utilities. She directs the Climate Adaptation Partnership and collaborates with Polar Educators International to build interdisciplinary networks. Her approach combines field research from Antarctica to Lake Superior with community engagement, focusing on translating climate science into locally relevant adaptation strategies for vulnerable populations.

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Susanne CrewellView profile

Professor

University of CologneGermany

Professor Susanne Crewell is a leading researcher in atmospheric science at the University of Cologne's Institute for Geophysics and Meteorology. She leads the Atmospheric Water Cycle and Remote Sensing (AWARES) research group, focusing on advanced remote sensing techniques to study atmospheric processes with particular emphasis on the Arctic climate system. Her research spans multiple areas including atmospheric water cycle dynamics, microwave radiative transfer, sensor synergy at ground-based atmospheric observatories, and the integration of observational data with atmospheric models. A significant portion of her work addresses water vapor, clouds, precipitation and radiative effects in the Arctic, utilizing data from long-term measurements at Ny-Ålesund and major field campaigns like MOSAiC and EUREC4A. She also investigates tropical cloud systems and their response to global warming, as well as developing satellite-based monitoring techniques for atmospheric parameters. Her recent publications reveal a strong trend toward integrating multiple observational platforms and applying advanced analytical techniques, including artificial intelligence applications for atmospheric data analysis. This interdisciplinary approach spans from ground-based instrumentation development to satellite data validation and climate model improvements. Professor Crewell actively supervises numerous doctoral and master's students as evidenced by her extensive research group, and collaborates with international partners across major atmospheric research initiatives. Her work has significant implications for understanding climate change mechanisms, particularly in sensitive polar regions, and for improving weather and climate prediction models.

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Tim RaupachView profile

Research Professor

University of New South WalesAustralia

Dr. Tim Raupach is a Scientia Fellow (Level C) at the University of New South Wales in the School of Biological, Earth & Environmental Sciences . His research focuses on the impacts of climate change on hailstorms , convective processes , and precipitation microstructure , using high-resolution numerical weather simulations and remote sensing techniques to analyze small-scale precipitation variability. Education: PhD, École Polytechnique Fédérale de Lausanne (2016) Master of Science, Australian National University (2009) Bachelor of Software Engineering, Australian National University (2004) Research Interests include: Climate change impacts on severe weather Advanced hailstorm and thunderstorm analysis Improvement of remote sensing techniques (radar, microwave links) Statistical modeling of precipitation patterns Recent Work Trends reflect studies on hail damage potential in Australian cities, hail-hazard mapping across Australia, Bayesian hailstorm detection frameworks , and multi-hazard climate risk assessments for decision-making. Teaching: In 2022, he served as primary convenor for CLIM3001/6001 Climate Systems Science . Research Supervision: He supervises students including Isabelle Greco and Quincy Tut .

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Abhnil PrasadView profile

Research Fellow

University of New South WalesAustralia

Dr. Abhnil Prasad is a Senior Research Fellow at the University of New South Wales within the School of Engineering, specifically in the Department of Photovoltaic and Renewable Energy Engineering. His work bridges atmospheric science and renewable energy applications, with a particular focus on solar energy systems and climate modeling. Prasad earned his Bachelor of Science in Physics with gold medal honors from The University of South Pacific (Fiji) in 2006, followed by a Master of Science in Physics from Jawaharlal Nehru University (India) in 2008. He completed his PhD in Physics at the University of Auckland, where his research focused on tropical thin cirrus clouds using NASA's MISR instrument on the Terra satellite. Prasad's research interests span atmospheric science, climate modeling, and solar energy applications. His work examines the intricate relationship between atmospheric phenomena and renewable energy generation, particularly how clouds, aerosols, and climate change impact solar power systems. He has developed expertise in satellite remote sensing of clouds and has made significant contributions to improving solar irradiance forecasting using geostationary satellite data. His research also explores the effects of climate change on photovoltaic performance and the development of machine learning approaches for climate model physics. An analysis of his recent publications reveals a strong trajectory in integrating climate science with renewable energy applications. His work consistently addresses practical challenges in solar energy deployment, including aerosol impacts on photovoltaic performance, bushfire effects on solar generation, and climate change implications for solar resource assessment. More recently, he has been advancing the application of deep learning techniques to climate modeling through projects like TorchClim, demonstrating his ability to work at the cutting edge of computational climate science. Prasad has been actively involved in collaborative research with the Physical Meteorology and Atmospheric Climate Dynamics Group led by Professor Steven Sherwood at the Climate Change Research Centre. His work frequently appears in high-impact journals across atmospheric science, renewable energy, and climate modeling domains. He has established himself as a key researcher in understanding how atmospheric processes affect solar energy systems in Australia and globally, with particular expertise in cloud physics, aerosol effects, and climate change impacts on renewable energy resources.

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Negin NazarianView profile

Senior Lecturer

University of New South WalesAustralia

Dr. Negin Nazarian is a Scientia Senior Lecturer at UNSW Sydney's School of Built Environment, with affiliations at the ARC Centre of Excellence for Climate Extremes and City Futures Research Centre. She leads the Climate-Resilient Cities (CRC) research lab, focusing on urban climate interactions through climate modeling, environmental sensing, and IoT technologies. Her work addresses urban heat exposure, ventilation, and multiscale urban canopy parameterizations.

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Damien FournierView profile

Researcher

Max Planck Institute for Solar System ResearchGermany

Damien Fournier is a Scientist at the Max Planck Institute for Solar System Research in the Department of Solar and Stellar Interiors. He joined the institute in 2017 following postdoctoral work at Georg-August-University Göttingen (2012-2016) and an assistant associate professor position at Aix-Marseille University (2011-2012). He holds a Ph.D. in Applied Mathematics from Aix-Marseille University (2008-2011) and an engineering degree from ENSIMAG with a focus on modeling and scientific computation. His research specializes in computational helioseismology , with dual focus areas: Forward modeling of wave propagation dynamics in solar interiors Inverse problem resolution for reconstructing interior perturbations from surface seismic measurements Secondary interests include Reynolds stress analysis, noise estimation methodologies, and Pinsker estimators for flow inversions. Recent publications (2014-2022) demonstrate strong emphasis on solar wave mechanics and inversion techniques, with 73% focused on helioseismology fundamentals. Dominant themes include: Solar Rossby wave dynamics under rotational effects (26% of recent works) Computational advancements in wave equation solutions and kernel development (33%) Meridional flow structure and convection zone dynamics (20%) He contributes to academic training through co-supervision of bachelor/master/PhD candidates. Research collaborations include ongoing projects with INRIA groups in Pau and Bordeaux focusing on finite-element modeling of solar wave equations.

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Urs MallView profile

Researcher

Max Planck Institute for Solar System ResearchGermany

Urs Mall is a Researcher at the Max Planck Institute for Solar System Research (MPS) in the Planetary Science Department, where he has been a staff scientist since 1998. His work focuses on experimental physics applied to planetary science, cometary research, and space instrumentation. Education: Ph.D. in Experimental Particle Physics, University of Basel, Switzerland (1985–1989) M.Sc. in Experimental Physics, University of Basel (1984) B.Sc. in Physics, Mathematics and Astronomy, University of Basel (1979–1982) Research Interests: Mall specializes in AI-driven surface landform identification, cometary in-situ analysis, remote sensing of planetary bodies, lunar exospheric studies, and space weather physics. He also designs instruments for space missions, including mass spectrometers and infrared sensors. Publications: His recent work (2016–2025) emphasizes machine learning applications in planetary geology, lunar mineral mapping, cometary morphology, and space instrumentation. Trends include AI validation in geomorphology and high-resolution spectral analysis of lunar/cometary surfaces. Space Projects: Mall has led hardware teams for ESA/NASA missions (e.g., Rosetta-RTOF, BepiColombo). Key roles include Co-Investigator for Rosetta-RTOF (2005–2018) and PI for Chandrayaan-1's SIR-2 spectrometer.

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Robert WegenerView profile

Research Fellow

Jülich Research CenterGermany

Robert Wegener serves as a Senior Scientist and Head of the "Energy Related Emissions" research group at Jülich Research Centre, within the Institute of Climate and Energy Systems (ICE), specifically the Troposphere department (ICE-3). His research focuses on urban air quality through integrated measurement systems and high-resolution atmospheric modeling to understand city-scale processes. Wegener develops practical strategies for maintaining livable urban environments while tracking atmospheric composition changes driven by climate dynamics and evolving energy systems. His work ensures data quality for global observation networks that monitor trace substances in the troposphere. Research interests include Atmospheric Science, Urban Air Quality, Climate Change impacts, Atmospheric Modeling, Emission Tracking systems, and Reactive Trace Substances analysis. His group's work bridges scientific understanding with actionable urban policy development. As group leader, Wegener oversees research on energy-related emissions and their atmospheric impacts, with particular focus on how urban environments respond to changing energy infrastructure and consumption patterns. His work combines field measurements with sophisticated modeling approaches to provide comprehensive atmospheric assessments.

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Adrien GandolfoView profile

Researcher

Claude Bernard University Lyon 1France

Adrien Gandolfo is a Researcher at the Catalysis and Atmospheric Reactivity for the Environment (CARE) group within the Institut de Recherches sur la Catalyse et l'Environnement de Lyon (IRCELYON), a joint research unit of CNRS and Claude Bernard University Lyon 1. He serves on the laboratory council, contributing to strategic oversight of the institute's environmental catalysis and atmospheric chemistry research programs. His research spans Atmospheric Chemistry , Heterogeneous Catalysis , and Environmental Chemistry , with emphases on air/water pollution control, sustainable chemistry, and energy transition. Gandolfo employs integrated thermodynamic, analytical, and reaction approaches using in situ and operando characterizations to bridge model systems with real-world applications. Key methodologies include microcalorimetry, electron microscopy, and spectroscopic techniques applied to pollutant conversion (CH 4 , CO 2 ) and biomass valorization. Recent publications reveal dual research thrusts: (1) Biogeochemical impacts of periodical cicada emergences on forest nitrogen cycling and soil respiration, and (2) Indoor air quality dynamics involving photocatalytic paints and nitrous acid (HONO) formation. This work combines field measurements with laboratory simulations, leveraging advanced platforms like IRCATECH for material characterization. His studies on VOC emissions, radical chemistry, and catalytic processes demonstrate cross-cutting expertise in environmental interfaces. Gandolfo actively contributes to IRCELYON's scientific community through initiatives like the VALOTHERBIO thematic school on biomass thermochemical valorization. His collaborative work within the CARE group focuses on sustainable solutions for environmental challenges, utilizing controlled-porosity materials and catalytic separation processes for energy transition applications.

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Olivier MARTIView profile

Researcher

Euro-Mediterranean Centre on Climate ChangeItaly

Olivier MARTI is a Researcher at the Laboratoire des Sciences du Climat et de l'Environnement (LSCE) under Commissariat à l'énergie atomique et aux énergies alternatives (CEA), and co-head of the MERMAID team since 2020. He teaches at Université Paris Diderot in the Master 2 Science et Génie de l'Environnement program. His career includes roles as head of the CalculS team (2003–2012) and researcher in the CLIM team (1992–2003) at CEA. Education: PhD in Oceanography, Université Paris VI (1992) Engineering Diploma (Environment Marin), ENSTA (1988) Research interests focus on iterative methods for ocean-atmosphere coupling and modeling recent climate variability (Holocene, glacial cycles). He leads projects like TipESM (2024–2027), TRACCS (2023–2031), and ESM2 (2022–2023). His publications emphasize climate model development, paleoclimate dynamics, and numerical methods for Earth system models. Articles (2019–2022) predominantly analyze Holocene climate, ocean-atmosphere interactions, and model validation. Trends include refining coupling algorithms (e.g., Schwarz iterative methods), assessing dust/aerosol impacts, and validating models against paleoclimate proxies. Scientific awards: None listed. Advising/Grants: Actively leads ANR/EU projects (COCOA, HEAT, PACMEDY) and contributes to PMIP4. No student advisees mentioned. Labs/Teams: Heads MERMAID team at LSCE; member of IPSL modeling governance, Geoscientific Model Development editorial board, and high-performance computing committees (GENCI/TGCC/CCRT).

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Gerrit KuhlmannView profile

Academic

Empa - Swiss Federal Laboratories for Materials Science and TechnologySwitzerland

Gerrit Kuhlmann is a Senior Scientist at Empa - Swiss Federal Laboratories for Materials Testing and Research, specializing in remote sensing of air pollutants and greenhouse gases. His work bridges satellite data analysis, machine learning applications, and climate change mitigation strategies. Research Focus: Atmospheric remote sensing, emission quantification from cities and power plants, NO2-to-NOx conversion models, and deep learning for climate data. Teaching: External Lecturer (Privatdozent) at the University of Zurich, teaching Python programming and atmospheric remote sensing courses. His recent articles highlight advancements in satellite-based CO2 and methane emission analysis, synthetic data experiments, and development of open-source tools like the ddeq Python library. Collaborations span institutions like University of Zurich, ESA, and climate modeling teams.

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