جست‌وجوی استاد و پژوهشگر

• Interfacial Fluid Dynamics
• High-Speed Photography
• Cavitation
• +۴ مورد دیگر

Nathan B. Speirs is an Assistant Professor in the Mechanical Engineering Department at Brigham Young University's College of Engineering. He joined the faculty in 2023 and specializes in interfacial fluid dynamics using high-speed photography and theoretical modeling. His research explores water entry mechanics, cavitation bubble dynamics, and microphysical interactions of droplets with airborne particulates. PhD in Mechanical Engineering, Utah State University (2018) BS in Mechanical Engineering, Brigham Young University (2015) His research spans: High-speed imaging of water entry and cavitation phenomena Hydroelastic effects on cavity formation Droplet-particulate interactions in atmospheric flows Acceleration-induced fluid instabilities Recent publications focus on water entry dynamics, cavitation control, and fluid-structure interactions, with applications in naval engineering and environmental science. Trends include experimental validation of theoretical models and visualization of transient fluid behaviors. Scientific honors include the American Physical Society Division of Fluid Dynamics Gallery of Fluid Motion Award (2023). Teaching interests emphasize fluid dynamics and engineering measurement techniques. Professional roles include ad hoc peer review for the Journal of Fluids and Structures , Journal of Fluid Mechanics , National Science Foundation grant proposals, and American Physical Society conferences.

• Climate Change
• Atmospheric Chemistry
• Aerosol Science
• +۵ مورد دیگر

Stephen E. Schwartz is an Adjunct Professor at Stony Brook University's School of Marine and Atmospheric Sciences, with a career focused on atmospheric chemistry, climate sensitivity, and environmental impacts of energy-related pollutants. His work has been funded by the U.S. Department of Energy, particularly through the Atmospheric System Research Program. Ph.D., University of California (1968) His research explores the Earth energy budget , climate sensitivity , and atmospheric aerosol dynamics , emphasizing their roles in radiative forcing and acid deposition. He pioneered studies on sulfur and nitrogen oxide emissions from fossil fuels and their atmospheric transformation. Recent publications highlight his focus on CO2 lifetime quantification , climate modeling uncertainties , and high-resolution cloud studies . Key keywords across his work include Climate Science, Atmospheric Chemistry, and Environmental Risk Assessment. Haagen-Smit Award (2003) DOE Research Milestone (2017) Dr. Schwartz actively collaborates with institutions like Brookhaven National Laboratory and NASA, mentoring students and emphasizing interdisciplinary research. His work spans laboratory experiments, field measurements, and global-scale modeling through the PARAGON Initiative and ARM Program .

Nina Maherndlمشاهده پروفایل

استادیار

• Cloud Microphysics
• Mixed-phase Clouds
• Riming Processes
• +۳ مورد دیگر

Nina Maherndl serves as Assistant Professor for Ground-based Remote Sensing of Clouds at the Department of Geoscience & Remote Sensing within Delft University of Technology's Faculty of Civil Engineering and Geosciences, a position she assumed in 2025 after completing her PhD at Leipzig University. Her research focuses on microphysical processes in mid- and high-latitude mixed-phase clouds. Her educational background includes: PhD in Meteorology, Leipzig University (2024) Dr. Maherndl specializes in ice formation and growth mechanisms , with particular emphasis on riming processes in mixed-phase clouds. Her work investigates how these microphysical phenomena drive spatial variability in ice and snowfall distribution, bridging observational cloud physics and ground-based remote sensing methodologies to improve atmospheric modeling. Current efforts focus on quantifying riming effects through airborne campaign data and developing advanced parameterizations for snowflake scattering. Her 2023-2024 publications demonstrate consistent innovation in riming quantification techniques , leveraging data from the HALO-(AC)3 aircraft campaign and developing novel parameterizations for remote sensing applications. These studies integrate cloud microphysics , airborne instrumentation , and radiative transfer modeling to address precipitation formation challenges in mixed-phase systems. Dr. Maherndl operates within TU Delft's Geoscience & Remote Sensing (GRS) Laboratory framework and has participated in international field campaigns including HALO-(AC)3. No information regarding student supervision or grant funding was provided in the source materials.

Philipp Reutterمشاهده پروفایل

پژوهشگر

• Atmospheric Physics
• Climate Modeling
• Meteorology
• +۳ مورد دیگر

Dr. Philipp Reutter is an academic staff member and researcher at the Institute for Atmospheric Physics at Johannes Gutenberg University Mainz. He focuses on theoretical cloud physics, specifically cirrus clouds and ice supersaturation, and manages the university's weather station. His teaching includes courses on atmospheric thermodynamics and partial differential equation modeling. Research: Cirrus cloud dynamics, ice supersaturated regions (ISSRs), tropopause inversion layers, and climate system interactions. Teaching: Instructs Atmosphärische Thermodynamik and Modellierung mit partiellen Differentialgleichungen courses. Publications: 15+ peer-reviewed articles on cloud physics, atmospheric transport, and climate modeling (2009-2025).

Daniel T. Dawson IIمشاهده پروفایل

دانشیار

• Severe convective storms
• Tornado dynamics
• Cloud and precipitation microphysics
• +۴ مورد دیگر

Dr. Daniel T. Dawson II is an Associate Professor of Atmospheric Science at Purdue University's Department of Earth, Atmospheric, and Planetary Sciences (EAPS). He leads the STorMLab (Storm and Tornado Modeling Laboratory), focusing on severe convective storm dynamics, tornado physics, and improving numerical prediction of severe weather. He holds a Ph.D. from the University of Oklahoma (2009) and B.S. from Purdue University (2002). His research integrates observational data from field campaigns like VORTEX2 and VORTEX-SE with advanced numerical modeling, particularly using EnKF radar data assimilation techniques. Education: Ph.D., University of Oklahoma, School of Meteorology (2009) M.S., University of Oklahoma, School of Meteorology (2004) B.S., Purdue University, Earth and Atmospheric Sciences (2002) His research interests include storm-scale microphysics, radar observations, and the role of surface drag in tornadogenesis. He collaborates with the Weather Radar Research Laboratory led by his spouse, Dr. Robin Tanamachi, and co-teaches the EAPS 59100 Severe Storms Field Work course, emphasizing hands-on storm chasing and forecasting. Dawson has extensive experience with the National Severe Storms Laboratory (NSSL), the Cooperative Institute for Mesoscale Meteorological Studies (CIMMS), and the National Center for Atmospheric Research (NCAR). His work addresses challenges in Warn-on-Forecast systems and has contributed to understanding the geographic controls of severe storm environments. He leads Purdue's mobile disdrometer operations in field campaigns like PERiLS and VORTEX-SE, emphasizing real-time data collection for improving storm prediction models. Labs/Teams: STorMLab (Purdue), Weather Radar Research Laboratory (collaboration), and the Purdue TriPIPS and XTRRA radar initiatives.

Jana Houserمشاهده پروفایل

استاد مدعو

• Atmospheric Science
• Severe Weather
• Tornadoes
• +۱۲ مورد دیگر

Jana Houser is an Adjunct Professor in the Geography Department at Ohio University’s College of Arts and Sciences, where she conducts research and teaches in atmospheric science with a focus on severe weather. Her office is located in Lindley Hall, N357, on the Athens Campus. Research Interests: Dr. Houser specializes in observational studies of supercell thunderstorms and tornadoes, utilizing mobile and fixed Doppler and polarimetric radar systems. Her work investigates the formation, evolution, and dissipation of tornadoes, particularly addressing whether tornadoes initiate aloft or near the surface. She explores how surface topography and land cover influence tornado behavior and integrates GIS data with radar observations. Additional interests include severe weather climatology, mesoscale precipitation features, and storm-scale dynamics influenced by large-scale weather systems. Publication Trends: Her recent publications, primarily in Monthly Weather Review and Journal of Atmospheric and Oceanic Technology , reflect a consistent focus on high-resolution radar analysis of significant tornado events such as the 2011 and 2013 El Reno tornadoes and the 2007 Greensburg, Kansas tornado. These studies emphasize rapid-scan radar, polarimetry, and multi-sensor integration to understand tornadogenesis, debris signatures, and storm structure. Scientific Awards: National Science Foundation Grant to study the impact of surface topography and land cover on tornado formation, intensity, and decay Advising and Grants: Dr. Houser has mentored students in preliminary research that laid the foundation for her NSF-funded project. She actively involves students in data analysis using mobile rapid-scan radar and GIS, fostering hands-on research experience in severe storms. Her grant from the NSF supports ongoing observational and analytical work in tornado-environment interactions. Teaching: She teaches courses including GEOG 3010: Meteorology, GEOG 4035/5035: Radar Meteorology, GEOG 6010: Seminar in Severe Convective Storms, and GEOG 4930: Field Studies of Convection. She advocates for application-based instruction, linking theoretical concepts to real-world weather events to enhance student engagement and understanding.

• Atmospheric Sciences
• Environmental Science
• Aerosol Research
• +۳ مورد دیگر

Tuukka Petäjä is a Professor at the University of Helsinki's Faculty of Science and Department of Physics, currently serving as Docent and supervisor for the Doctoral Programme in Atmospheric Sciences. He is affiliated with the Institute for Atmospheric and Earth System Research (INAR). Research focuses on atmospheric and Earth system science Active in aerosol research and climate modeling Recipient of multiple scientific awards His research spans air pollution mapping, aerosol dynamics, and climate-relevant particle formation. Recent publications analyze aerosol sources in Europe, Arctic blowing snow events, and machine learning applications in atmospheric science. Notable scientific awards include: Aerosol Foundation Award (2022) Finnish Association for Aerosol Research Award (2010) Thompson Reuters Highly Cited Researcher in Geosciences (2014-2016) He supervises doctoral students and co-manages research infrastructure projects, including SMEAR Stations for Earth system-atmosphere relations. Current research involves international collaboration through initiatives like ACTRIS and PEEX-Academic-Challenge workshops.

• Climate Dynamics
• Numerical Weather Prediction (NWP)
• Atmospheric Modeling
• +۳ مورد دیگر

Professor Eigil Kaas is affiliated with the Niels Bohr Institute at the University of Copenhagen . His work spans climate dynamics , numerical weather prediction (NWP) , and atmospheric modeling . As former Section Head of Climate and Computational Geophysics , he leads research on climate-chemistry coupling and sea ice impacts. Education : MSc (1987) and PhD (1993) in Meteorology from University of Copenhagen Research Focus : Climate dynamics and physics Numerical methods in atmospheric models Machine learning for weather prediction Arctic sea ice-climate interactions Thunderstorm electricity and radiation Coupled atmosphere-ocean modeling Article Trends : Recent work combines neural networks with radiative transfer optimization Focus on storm dynamics and gamma-ray flashes Extreme precipitation modeling under climate change Pioneering tidal flow studies in Faroe Island fjords Teaching Legacy : Instructor of Atmospheric Physics and Dynamical Meteorology courses Developed zonally averaged climate model for educational use Mentored 12 PhD/MSc students with DMI/ECMWF collaborations Professional Roles : Chairman of BFI Group 28 (Geosciences & Climate) Scientific Advisory Committee member at ECMWF Project lead in EU ENSEMBLES and PEGASOS initiatives

Zhaoxia Puمشاهده پروفایل

استاد

• Numerical Weather Prediction
• Data Assimilation
• Machine Learning
• +۵ مورد دیگر

Dr. Zhaoxia Pu is a Professor in the Department of Atmospheric Sciences at the University of Utah and an Adjunct Professor at the School of Computing . Recognized as a Fellow of both the American Meteorological Society and the Royal Meteorological Society, she serves on the NOAA Science Advisory Board and has led 38 federally funded projects from agencies including NOAA, NASA, NSF, DOE, and ONR. Specializes in numerical weather prediction , data assimilation , and AI/machine learning for high-impact weather systems Developed advanced methods integrating satellite/radar data (GOES-R, CYGNSS, TROPICS) with Earth system models (UFS, E3SM, WRF) Recipient of the 2024 Excellence in Research Award and 2023 Provost's Banner Project recognition Research Trends : Her recent publications focus on: Machine learning approaches for precipitation retrieval using GOES-R data Cold fog microphysics and visibility parameterization in complex terrain Tropical cyclone dynamics through radar and lidar data assimilation Boundary layer turbulence in landfalling storms Drought mechanisms linked to synoptic-scale circulation New particle formation in mountainous regions Scientific Leadership : Lead scientist for CFACT NSF field campaign (2021–2025) Editorial board member of leading journals Active reviewer for NSF, DOE, NOAA, and NASA Teaching & Mentorship : Teaches Numerical Weather Prediction , Atmospheric Dynamics , and Introduction to Atmospheric Sciences courses. Has supervised 28 graduate students to completion.

Lesley De Cruzمشاهده پروفایل

پژوهشگر ارشد

• Climate Modeling
• Regional Climate Downscaling
• AI for Environmental Systems
• +۳ مورد دیگر

Lesley De Cruz is a Research Fellow at Vrije Universiteit Brussel's Electronics and Informatics department within the School of Electronics and Computer Science, with concurrent research affiliation at the Royal Meteorological Institute of Belgium since 2012. Current projects include climate-resilient urban modeling through BRGEOZ464 and flood prediction systems under FWOAL1127. Research focuses on AI-driven climate modeling with expertise in nonlinear dimension reduction (DIRESA framework), urban climate resilience, and renewable energy meteorology. Key methodologies integrate deep learning with environmental physics for applications including real-time flood prediction offshore wind farm optimization LEGO-based urban climate prototyping regional climate downscaling Recent publications (2023-2025) demonstrate strong trends in geospatial AI for environmental systems, with 64% focusing on climate change impact analysis, 54% on urban applications, and 51% on control measure development. The DIRESA framework represents a significant contribution to nonlinear dimension reduction in climate informatics. Awards include: Matìère Grise Science Communication Trophy (2024) Major media recognition for breakthrough rainfall prediction model (2021) Supervises multiple PhD candidates and leads public engagement initiatives including CurieuCity and Dag Van de Wetenschap. Current grants total 12 active projects (2021-2029) with €2.8M+ funding, primarily focused on climate adaptation and sustainable technology development. Labs and teams include the Climate Informatics Group at VUB and collaborative networks with Ghent University and the Flemish Institute for Carbon-Aware Technologies.

Jonathan E. Martinمشاهده پروفایل

استاد

• Synoptic Meteorology
• Atmospheric Dynamics
• Jet Stream Variability
• +۳ مورد دیگر

Jonathan E. Martin is a Professor in the Department of Atmospheric and Oceanic Sciences at the University of Wisconsin–Madison since 1994. He received his Ph.D. in Atmospheric Sciences from the University of Washington in 1992. Research Focus: Mid-latitude cyclones, jet stream dynamics, and weather-climate interactions Key Methods: Multi-scale observational analysis, high-resolution mesoscale modeling, potential vorticity diagnostics Recent Projects: Jet stream waviness trends, subtropical-midlatitude cyclone transformation, snow cover-cyclone feedback His 2025-2024 publications examine extratropical cyclone precipitation distribution, Pacific basin rapid cyclogenesis, and Earth system model validation for cyclone occlusion. Earlier work (2023-2019) addresses: Jet superposition climatology Self-organizing map analysis of jet variability Cyclone-induced Southern Hemisphere waviness Nonlinear jet retraction mechanisms Tornado outbreak jet influences Historical cold pool contraction trends Awarded the 2021 Atmospheric Sciences Librarians International Choice Runner Up for his historical meteorology work, he also authored the textbook Mid-Latitude Atmospheric Dynamics: A First Course (2013). His research spans cyclogenesis, frontogenesis, and climate change impacts on jet streams, with applications in extreme weather forecasting and climate modeling validation.

Maarten Ambaumمشاهده پروفایل

استاد

• Atmospheric Physics
• Climate Thermodynamics
• Geophysical Fluid Dynamics
• +۳ مورد دیگر

Maarten Ambaum is Professor of Atmospheric Physics and Dynamics at the University of Reading's Department of Meteorology. His research focuses on fundamental atmospheric processes including energy transfer mechanisms, cloud electrification phenomena, and storm track variability using theoretical modeling and experimental approaches. Research interests span thermodynamics of climate systems, electrical properties of cloud droplets, geophysical fluid dynamics, and applications of Bayesian statistics to atmospheric science. Current projects investigate convective energy cycles, electrical aspects of rainfall generation, and storm track transitions. Publications demonstrate expertise in atmospheric electricity, cloud microphysics, and climate system modeling. Recent work examines fog electrification, aircraft-based charge emission systems, and storm track responses to climate oscillations. Develops novel instrumentation for atmospheric measurements including corona current monitoring systems. Authored textbook 'Thermal Physics of the Atmosphere' with second edition published in 2020.

• Atmospheric Science
• Climate Physics
• Cloud Dynamics
• +۳ مورد دیگر

Bjorn Stevens is the Managing Director of the Max Planck Institute for Meteorology and a Professor (§17) at the University of Hamburg. He leads the Climate Physics department, focusing on understanding how atmospheric water vapor, clouds, and radiative processes shape global and regional climates. His research explores turbulent mixing, cloud microphysics, and their role in climate feedback mechanisms, with contributions to observational techniques and high-resolution climate modeling. Education: PhD in Atmospheric Science (1996, Colorado State University), M.Sc. and B.Sc. in Electrical Engineering (1990 and 1987, Iowa State University). Professional experience includes roles at UCLA, NCAR, and leadership in major initiatives like HD(CP)2 and NextGEMS. He has supervised 25 PhD students, 29 master’s students, and 30 postdocs. Research interests span climate variability, cloud organization, and interactions between clouds and large-scale circulation. Recent work emphasizes storm-resolving models, tropical convection, and radiative feedbacks. Stevens has contributed to the Nobel Prize-winning IPCC assessments and leads projects like the Earth Virtualization Engines (EVE) to advance climate simulation capabilities.

Stephen Saleebyمشاهده پروفایل

پژوهشگر

• Atmospheric Science
• Cloud Microphysics
• Aerosol-Cloud Interactions
• +۳ مورد دیگر

Stephen Saleeby is a Senior Research Associate at Colorado State University, working in the field of atmospheric science since July 2000. His research focuses on cloud microphysics, aerosol-cloud interactions, and numerical modeling using the RAMS mesoscale model. Education: B.S. in Physics (1997), M.S. in Atmospheric Science (2000) Affiliation: Colorado State University Research Interests: Cloud microphysics, aerosol effects on precipitation, numerical modeling His recent publications analyze aerosol impacts on deep convection, ice nucleation processes, and convective storm initiation mechanisms. He has contributed to model development (e.g., tobac v1.5) and validation studies using satellite and radar observations. Field experience includes the ISPA-2 and ISPA-3 projects at Storm Peak Lab, where he conducted aerosol and snowfall measurements. He also coaches the Kinard Middle School Science Olympiad Meteorology Team.

Steven Siemsمشاهده پروفایل

استاد

• Cloud Microphysics
• Boundary Layer Meteorology
• Precipitation Processes
• +۳ مورد دیگر

Steven Siems is a Professor at Monash University's School of Earth Atmosphere and Environment. He leads research on clouds, precipitation, and boundary layer meteorology, focusing on the Southern Ocean, Australia, and SE Asia. As a Chief Investigator in the ARC Securing Antarctica's Environmental Future (SAEF) center, he studies precipitation processes and co-chairs the World Weather Research Program's Weather Modification Expert Team. He also edits the Journal of Southern Hemisphere Earth System Science. Education: PhD in Applied Mathematics from the University of Washington (Seattle), followed by post-doctoral research at NCAR and UMIST. His work contributes to UN Sustainable Development Goals related to climate action and life below water. Projects: CAPE-k (Southern Ocean Clouds), CCI GBR (Great Barrier Reef Climate), POSOSI (Antarctic Sea Ice), and PSCSO (Southern Ocean Convection) Research Themes: Cloud microphysics, orographic precipitation, trade wind cumulus dynamics Recent publications focus on satellite cloud retrievals, coral bleaching drivers, and precipitation biases in high-latitude observations. Supervised PhD students engage in fieldwork across the Snowy Mountains, King Island, and Great Barrier Reef aboard research vessels like the R/V Investigator.