جست‌وجوی استاد و پژوهشگر

• Atmospheric Physics
• Dynamic Meteorology
• Rossby Wave Dynamics
• +۴ مورد دیگر

Dr. Franziska Teubler is a researcher in the Dynamic Meteorology group at the Institute of Atmospheric Physics, Johannes Gutenberg-University Mainz. She specializes in atmospheric dynamics, focusing on Rossby wave packets, blocking regimes, and weather predictability. Her work bridges theoretical meteorology with applied climate science, contributing to improved weather forecasting models. She holds a PhD from the University of Mainz (2018) and a diploma in Meteorology (2011). Education: 2011: Diploma in Meteorology (University of Mainz) 2018: PhD in Meteorology (University of Mainz) Research Interests: Franziska explores the dynamics of atmospheric waves and their role in extreme weather events. She investigates how Rossby wave packets influence weather patterns and climate predictability. Her work also addresses the interplay between large-scale atmospheric circulation and local weather phenomena. Professional Activities: She coordinates Scientists for Future Mainz/Wiesbaden and has lectured on climate emergency declarations. Her international engagements include organizing blocking workshops and presenting at conferences in North America and Europe. She is involved in the 'Waves to Weather' research project. Labs & Teams: She works within the Dynamic Meteorology group led by Prof. Volkmar Wirth, collaborating with peers like Dr. Michael Riemer and Dr. Georgios Fragkoulidis. The team focuses on atmospheric dynamics, error growth in forecasts, and mountain meteorology.

Hiba Baroudمشاهده پروفایل

دانشیار

• Risk Analysis
• Civil Engineering
• Environmental Engineering
• +۵ مورد دیگر

Hiba Baroud is an Associate Professor and Associate Chair in the Department of Civil and Environmental Engineering at Vanderbilt University, with secondary appointments in Computer Science and Earth and Environmental Science. She serves as the Interim Director of the Vanderbilt Center for Sustainability, Energy, and Climate. Her research focuses on data analytics, risk analysis, and resilience modeling of critical infrastructure systems, particularly in disaster management and climate adaptation. She explores interdependencies between infrastructure, environmental, and social systems to enhance preparedness and recovery strategies. Baroud holds a Ph.D. in Industrial and Systems Engineering from the University of Oklahoma, an M.Math in Statistics from the University of Waterloo, and a B.S. in Actuarial Science from Notre Dame University, Lebanon. She has received prestigious awards, including the NSF CAREER Award (2020), the Chauncey Starr Distinguished Young Risk Analyst Award (2024), and recognition as a Fellow of the International Science Council (2024). Her work addresses global challenges such as Arctic shipping risks, climate financing for infrastructure, and community resilience in vulnerable regions like Bangladesh and Sri Lanka. She collaborates internationally and engages in interdisciplinary initiatives, including the Global Young Academy and the Vanderbilt Data Science Institute.

Timothy Loganمشاهده پروفایل

استادیار

• Atmospheric Electricity
• Aerosol-Cloud Interactions
• Lightning Physics
• +۴ مورد دیگر

Timothy Logan is an Assistant Professor in the Department of Atmospheric Sciences at Texas A&M University, directing the Houston Lightning Mapping Array (HLMA) Network. He specializes in atmospheric electricity, aerosol-cloud interactions, and severe weather dynamics. His research focuses on lightning behavior, aerosol impacts on storms, and storm electrification mechanisms. Education: B.A. in Environmental Science, University of Virginia (1993) M.S. in Atmospheric Science, University of North Dakota (2009) Ph.D. in Atmospheric Science, University of North Dakota (2014) Research Interests: Dr. Logan investigates aerosol effects on lightning, convective storm dynamics, and lightning safety. Current projects include NSF-funded studies on cloud-top discharges and NASA-funded analyses of aerosol impacts on lightning characteristics. His work integrates observational data from the HLMA with modeling approaches to study storm electrification and climate interactions. Notable Contributions: Confirmed record-breaking 'megaflash' lightning in Texas using HLMA data. Explored Saharan dust impacts on North American weather and hurricane activity. Developed machine learning methods to analyze storm life cycles and lightning patterns. Awards & Recognition: 2015 TAMU Teaching Excellence Award 2015 Hubei Province Scientific Paper Award 2014 AMS Best Student Poster Award Advising & Outreach: Supervises undergraduate research on volcanic lightning (Hunga-Tonga eruption) and lightning safety education. Collaborates with K-12 STEM programs to disseminate lightning safety guidelines. Labs & Facilities: Leads the HLMA Network, providing real-time lightning data for public safety and interdisciplinary research. Collaborates with the Center for Atmospheric Chemistry and Energy (CACE) at Texas A&M.

Darren Henrichsمشاهده پروفایل

استادیار

• Dinoflagellate Ecology
• Population Genetics
• Phylogenetics
• +۵ مورد دیگر

Dr. Darren Henrichs is an Instructional Assistant Professor at Texas A&M University, affiliated with the Department of Oceanography. His research focuses on dinoflagellate ecology, population genetics, and phylogenetics, with a particular interest in harmful algal blooms and their environmental impacts. He holds a Ph.D. in Biology from Texas A&M University (2012) and a B.S. in Biology from Texas Lutheran University (2004). Research interests include the genetic and ecological dynamics of dinoflagellates, specifically studying species like Karenia brevis and Dinophysis , which cause harmful algal blooms. His work integrates imaging technologies, genomics, and computational modeling to better understand bloom initiation, community responses to environmental disturbances, and species distribution patterns in marine ecosystems. Publications highlight a focus on harmful algal bloom prediction, microplastic detection via imaging cytometry, and the effects of climate events (e.g., storms, hypoxia) on phytoplankton communities. Methodological innovations include applying convolutional neural networks and individual-based models for early warning systems and bloom dynamics analysis. No scientific awards are listed, though his contributions to marine ecological research are evident through his extensive publication record. He has taught multiple courses in biology and oceanography, including introductory biology and taxonomy of flowering plants. His roles include postdoctoral research associate at Texas A&M (2012–present) and laboratory teaching assistantships spanning 2005–2012. Laboratory and fieldwork contributions involve collaborations with institutions like the National Center for Genome Resources and the Woods Hole Oceanographic Institution, emphasizing interdisciplinary approaches to marine environmental challenges.

Kim Woodمشاهده پروفایل

دانشیار

• Tropical Cyclones
• Hurricane Dynamics
• Climate Variability
• +۲ مورد دیگر

Kim Wood is Associate Professor of Hydrology and Atmospheric Sciences at the University of Arizona, specializing in tropical cyclone dynamics. Research integrates satellite observations, machine learning, and climate analysis to study hurricane intensification, structural evolution, and climate change impacts. Teaching interests include tropical meteorology and remote sensing applications. Research focuses on hurricane-ocean interactions, rapid intensification prediction, and climate-driven changes in storm behavior. Recent publications emphasize machine learning applications for intensity forecasting and spatiotemporal analysis of subsurface ocean responses.

• Computational Epidemiology
• Data Science
• Complex Systems
• +۴ مورد دیگر

Daniela Paolotti is a Senior Research Scientist at the ISI Foundation in Turin, Italy, with a BSc, MSc, and PhD in Physics. Her interdisciplinary research integrates computational epidemiology, data science, complex systems, and behavioral sciences to model disease spread and social dynamics. She coordinates a Europe-wide participatory surveillance network for influenza-like illnesses (since 2008) and contributes to projects like PIPELINE (pregnancy/infant preparedness), SIESTA (secure data analytics), AWaRe (antimicrobial stewardship), and EpiPose (COVID-19 impact mitigation). Her work spans public health , digital epidemiology , and social impact data science , with emphasis on real-time disease tracking, behavioral interventions, and policy-informing models. Recent publications analyze COVID-19 clinical patterns, vaccine hesitancy on social media, climate change discourse, and food insecurity drivers. She leads collaborative initiatives such as Influcast (influenza forecasting), Respicast (respiratory disease modeling), and Influweb (participatory surveillance), leveraging big data and AI for global health challenges.

Dian Putrasahanمشاهده پروفایل

پژوهشگر

• Climate Modeling
• Ocean-Atmosphere Interactions
• Atlantic Meridional Overturning Circulation
• +۳ مورد دیگر

Dian Putrasahan is a Researcher in the Department of Climate Dynamics at the Max Planck Institute for Meteorology, working within the Director's Research Group. Based in Hamburg, Germany, Putrasahan contributes to advanced climate modeling research with a focus on high-resolution simulations of Earth's climate system. The researcher maintains an active role in the institute's scientific programming infrastructure while making significant contributions to peer-reviewed climate science literature. Putrasahan's research spans multiple critical areas of climate science, with particular expertise in high-resolution global coupled climate modeling, ocean-atmosphere interactions, and the Atlantic Meridional Overturning Circulation (AMOC). Specialized work examines the impact of mesoscale eddies on heat uptake, air-sea coupling, and ocean circulation patterns. Statistical analysis techniques, particularly evolutionary spectra methods, form another key component of the research portfolio, enabling sophisticated examination of climate variability and change. The publication record demonstrates significant contributions to understanding climate system behavior through advanced modeling approaches. Research trends show consistent focus on improving the representation of ocean processes in climate models, particularly mesoscale phenomena, and their implications for climate sensitivity and variability. The work frequently employs high-resolution modeling frameworks like HighResMIP and PRIMAVERA to address longstanding challenges in climate simulation, with applications spanning tropical cyclone dynamics, extreme precipitation events, and large-scale circulation patterns. As a scientific programmer at one of the world's leading climate research institutions, Putrasahan contributes to the development and application of cutting-edge climate models including the ICON Earth System Model. Collaborative work extends across multiple international research initiatives, reflecting the global nature of contemporary climate science. The research maintains strong connections to both theoretical climate dynamics and practical applications for understanding climate change impacts.

Jihoon Jungمشاهده پروفایل

استادیار

• Health/Medical Geography
• Applied Climatology
• Climate Change Adaptation
• +۱۲ مورد دیگر

Jihoon Jung is an Assistant Professor at the University of North Texas (UNT), specializing in health and medical geography. His research integrates quantitative methods, GIS, remote sensing, and big data to investigate the impacts of biophysical and socioeconomic environments on human health. He focuses on environmental health disparities, climate change adaptation, natural disasters (wildfires, heatwaves, floods), and vulnerability assessment. Education includes a PhD in Geography from Florida State University (2019), MA in Geography from Ohio State University (2012), and BS in Geography from Konkuk University (2010). His work spans interdisciplinary approaches to address public health challenges exacerbated by environmental changes, emphasizing spatial analysis and policy implications. Research interests highlight applied climatology, climate change impacts, and leveraging social media and big data for health surveillance. Recent studies examine wildfire smoke exposure disparities, heat-related health outcomes, and crime patterns during pandemics. Media appearances include discussions on extreme heat, deforestation, and wildfire management in outlets like CBS and The Guardian. No scientific awards are mentioned. His current projects involve lab/website climategeobest.wordpress.com , focusing on environmental justice, climate hazards, and spatial epidemiology. No advisees or grants are explicitly listed, but his work suggests collaboration with interdisciplinary teams on health vulnerability indices and disaster preparedness strategies.

Kevin Reedمشاهده پروفایل

استاد

• Climate Modeling
• Climate Change Attribution
• Tropical Cyclone Dynamics
• +۳ مورد دیگر

Dr. Kevin Reed is a Professor at Stony Brook University's School of Marine and Atmospheric Sciences (SoMAS), serving as Chief Climate Scientist at the NY Climate Exchange and Associate Provost for Climate and Sustainability Programming. He holds a Ph.D. from the University of Michigan (2012). His research focuses on extreme weather events, particularly tropical cyclones, and their response to climate change. He investigates climate models' capabilities to simulate these phenomena and develops methodologies for climate adaptation policies. Research interests include climate modeling, climate extremes, atmospheric dynamics, and science policy. Dr. Reed uses advanced climate models like the Community Atmosphere Model (CAM) to study hurricane behavior under different warming scenarios. His work bridges high-resolution simulations with reduced-complexity frameworks for global climate analysis. Recent publications highlight studies on tropical cyclone precipitation scaling, model intercomparison projects (e.g., DCMIP2016), and real-time climate change attribution for extreme events like Hurricane Ian. He collaborates on initiatives like the Climate Extremes Modeling (CEM) group at SBU, focusing on regional climate projections and actionable climate information.

• Applied climatology
• Meteorology
• Natural hazards
• +۵ مورد دیگر

Dr. Daniel Burow serves as Assistant Professor in the Applied Aviation Sciences Department within Embry-Riddle Aeronautical University's College of Aviation. His expertise spans applied climatology, meteorology, hazards research, and geospatial analysis with significant contributions to coastal environmental studies. His educational foundation includes: Ph.D. in Geography from University of Tennessee M.S. in Geography from University of North Dakota B.S. in Meteorology: Mathematics and Geography from Valparaiso University Dr. Burow's research program integrates satellite remote sensing and field methodologies to address critical environmental challenges. His work focuses on hurricane impact assessment on coastal dunes, urban stormwater systems, marine pollution detection, and climate perception dynamics. By analyzing pre- and post-event satellite imagery, he quantifies environmental changes from natural disasters while examining societal responses to weather hazards through survey-based studies. This dual approach bridges physical environmental processes with human dimensions of climate adaptation. Analysis of his 15 publications (2019-2025) reveals a clear trajectory toward advanced satellite applications, with 60% of recent work utilizing remote sensing for coastal change detection. His research shows strong regional focus on Florida's vulnerable coastline and Tennessee's severe weather patterns, producing actionable insights for disaster management and climate resilience planning. The interdisciplinary nature of his work spans meteorology, geography, and environmental science with increasing emphasis on anthropogenic impacts. While no specific awards are listed, his consistent publication record in respected journals including Remote Sensing (multiple 2024 papers) and Geographical Review demonstrates scholarly impact. His research appears grant-supported through evident fieldwork and data acquisition capabilities. As an educator, Dr. Burow teaches advanced and introductory GIS courses alongside climate change curriculum, preparing students for geospatial careers in environmental monitoring. His publications indicate active student collaboration opportunities, particularly in data collection and analysis for coastal research projects. The integration of his research specialties with Embry-Riddle's aviation mission creates unique opportunities for studying weather impacts on aerospace operations.