Sarah Kang is the Director of the Department of Climate Dynamics at the Max Planck Institute for Meteorology in Hamburg, Germany, a position she has held since August 2023. She leads the Director's Research Group (CDY) focusing on fundamental climate dynamics. Prior to this, she served as Professor in the Department of Urban and Environmental Engineering at Ulsan National Institute of Science and Technology (UNIST) in South Korea from 2011-2023, progressing through assistant, associate, and full professor ranks. Her research examines complex climate system dynamics, with emphasis on: Large-scale atmosphere and ocean circulation patterns Tropical-extratropical climate interactions Hydrological cycle responses to climate change Mechanisms of polar amplification Teleconnections between ocean basins and climate zones Analysis of her recent publications reveals dominant research themes: Ocean-atmosphere coupling mechanisms Radiative forcing and climate sensitivity Hemispheric climate asymmetries Tropical precipitation dynamics Polar warming impacts on global circulation with consistent methodology employing high-resolution climate modeling and observational verification. Major scientific recognitions include: AGU Atmospheric Sciences Ascent Award (2022) AOGS Kamide Lecture Award (2018) Editor's Citation for Excellence in Refereeing (GRL 2018) UNIST Teaching Excellence Award (2012) NCAR Advanced Studies Fellowship (2009) She maintains extensive professional engagement as: Co-chair of CLIVAR Climate Dynamics Panel Science Steering Committee member for CFMIP Associate Editor for Frontiers in Climate Editor for AGU Advances Board member of Korean Meteorological Society
Dr. Dominik Büeler is a Researcher at ETH Zurich's Institute for Atmospheric and Climate Science and staff member of the Center for Climate Systems Modeling (C2SM). His work bridges atmospheric dynamics with practical climate services, focusing on subseasonal prediction systems and their societal applications in Europe. Research Focus: Büeler's work centers on subseasonal-to-seasonal prediction, with emphasis on weather regime dynamics, extratropical cyclone behavior, and stratosphere-troposphere interactions. His research integrates large ensemble modeling, forecast verification, and climate impact assessment, particularly for European weather extremes. Recent projects examine heatwave mortality prediction, energy meteorology applications, and the role of moist processes in atmospheric blocking. Analysis of his publication record since 2021 reveals consistent advancement in subseasonal forecasting methodology, with growing emphasis on societal applications including public health (heat-related mortality) and energy sectors. His work increasingly connects fundamental atmospheric processes with operational forecasting systems, leveraging collaborations through the Subseasonal-to-Seasonal Prediction Project. Affiliations: Center for Climate Systems Modeling (C2SM) - Core Research Staff ETH Zurich Institute for Atmospheric and Climate Science MeteoSwiss Collaborator (Energy Meteorology) Büeler contributes to multidisciplinary teams developing climate services, with recent work supporting Swiss operational forecasting systems. His research group within C2SM focuses on improving subseasonal predictability through advanced diagnostics of model biases and atmospheric processes.
Daniel McCoy is an Assistant Professor in the Department of Atmospheric Science and Founding Adjunct Faculty in the School of Computing at the University of Wyoming. His research examines the role of clouds in the climate system, focusing on cloud physics, climate modeling, and aerosol-cloud interactions. Education: B.S. in Physics, New Mexico Institute of Mining and Technology (2010) Ph.D. in Atmospheric Science, University of Washington (2016) Postdoctoral Fellow in Atmospheric Science, University of Leeds (2016-2020) Dr. McCoy’s work spans climate sensitivity analysis, aerosol forcing, and cloud feedback mechanisms. He employs climate models and remote sensing to study how clouds respond to warming and how aerosols influence radiative forcing and precipitation efficiency. Recent publications highlight his contributions to understanding extratropical cloud feedbacks, Southern Ocean cloud dynamics, and perturbed parameter ensembles for climate models. His research group investigates connections between cloud morphology, radiative susceptibility, and the hydrological cycle. Contact: Email daniel.mccoy@uwyo.edu , Office EN 6029, University of Wyoming.
Richard P. Allan is a Professor of Climate Science in the Department of Meteorology at the University of Reading, United Kingdom. He is affiliated with the National Centre for Earth Observation (NCEO) and the Walker Institute, and has previously worked at NCAS Climate and the Met Office. He served as a lead author for the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report. His research focuses on Earth's energy budget, climate change, and the global water cycle, utilizing Earth Observation data to assess climate models and understand atmospheric processes. Key areas include radiative forcing, cloud dynamics, precipitation extremes, and ocean warming. He has led significant projects such as the NERC DEEP-C consortium. The 15 most recent publications highlight sustained contributions to understanding climate system responses, particularly in energy imbalance, water vapor trends, aerosol-cloud interactions, and precipitation variability. Articles appear in high-impact journals like Nature , Science , and Geophysical Research Letters , reflecting broad expertise in climate modeling, satellite remote sensing, and hydrological impacts. Lead Author, Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report Richard P. Allan has supervised numerous PhD and Master’s students, though specific names are not listed in the provided texts. He has secured major research grants, including from NERC, and leads collaborative projects involving climate modeling and satellite data analysis. His work is instrumental in linking observations to climate predictions and policy-relevant science. He is affiliated with the National Centre for Earth Observation, the Walker Institute, and has been Principal Investigator on projects including NERC DEEP-C, DACCIWA, SMURPHS, and SINATRA, focusing on climate extremes, African weather systems, and Earth’s energy budget.
Steve Margulis is a Professor in the Department of Civil and Environmental Engineering at the University of California, Los Angeles (UCLA). His research focuses on surface hydrology and hydrometeorology, particularly in snow-dominated mountainous regions. University: University of California, Los Angeles Department: Civil and Environmental Engineering Research Interests: His work aims to improve characterization of hydrologic states and fluxes through remote sensing and modeling, with applications to water resource management and environmental hazard mitigation. Key areas include: Land surface and atmospheric boundary layer modeling Remote sensing of snow and soil moisture Data assimilation techniques Hydroclimatology and climate change impacts Publications Trends show consistent focus on snow hydrology, remote sensing applications, and data assimilation frameworks across diverse mountain regions including the Sierra Nevada, Andes, and High Mountain Asia. Recent work emphasizes model improvements through spatially distributed precipitation bias correction and satellite data integration. Students: Mentoring includes Ph.D. candidates Yiwen Fang, Yufei Liu, Jacob Schaperow, and Manon von Kaenel. Group alumni include notable researchers at institutions like NASA, Ohio State University, and University of Colorado. Research Projects are funded by NSF, NASA, and DOE/CERC-WET. Key initiatives include: Snow reanalysis frameworks for Sierra Nevada and Andes Investigations into land-atmosphere interactions Global frameworks for SWOT data products
Bob Kopp is a Professor at Rutgers University's Department of Earth & Planetary Sciences and Co-Director of the University Office of Climate Action. He leads the NSF-funded Megalopolitan Coastal Transformation Hub (MACH), focusing on climate risk management in the Northeast U.S. and advancing understanding of coastal climate interactions. He co-directs the Climate Impact Lab, a multidisciplinary collaboration assessing climate economic risks. His research spans climate uncertainty, sea-level dynamics, and climate policy, with leadership roles in IPCC assessments and U.S. National Climate Assessments. Education: Ph.D. in Geobiology from Caltech (2000s) and B.S. in Geophysical Sciences from the University of Chicago. Prior to Rutgers, he served as AAAS Science & Technology Policy Fellow at the U.S. Department of Energy and postdoctoral researcher at Princeton University. Affiliations include Rutgers Climate Institute, Energy Institute, and graduate programs in Atmospheric Sciences, Geological Sciences, Oceanography, Statistics, and Planning & Public Policy. Research interests emphasize climate change impacts, sea-level projections, and policy integration. Key contributions include frameworks for probabilistic sea-level assessments (e.g., PaleoSTeHM) and adaptive strategies for coastal resilience. His work bridges scientific analysis with actionable policy, emphasizing stakeholder engagement in megaregions like the New York–Philadelphia urban corridor. Grants include NSF-funded projects totaling millions, supporting interdisciplinary climate solutions. Awards: Not explicitly listed, but recognized for leadership in IPCC and U.S. climate reports. Grants: Includes NSF support for MACH and Climate Impact Lab. Labs/Teams: Directs MACH, Climate Impact Lab, and collaborates with Rutgers' EOAS and Climate Institute.
Dr. Indrani Roy is an Honorary Associate Professor in the Department of Earth Sciences at University College London (UCL). She holds a PhD from Imperial College London and has extensive research experience at institutions including Imperial College and the University of Exeter. Previously, she served as a permanent employee at the India Meteorological Department (Government of India). She is a Fellow of the Royal Meteorological Society (FRMetS) and serves as its Trustee. Dr. Roy contributes to international scientific governance as a panel member for the UK's Natural Environmental Research Council (NERC) and the Romanian National Research Council. Her multidisciplinary research spans: Solar-atmosphere-ocean coupling mechanisms Monsoon dynamics and teleconnection patterns Climate change processes and extreme events Stratosphere-troposphere interactions Climate variability across decadal scales She actively investigates how solar cycles influence regional climates and extreme weather phenomena. Dr. Roy's publications demonstrate consistent focus on climate dynamics with recent emphasis on African and Asian monsoon systems, COVID-19 climate interactions, and improving predictive capabilities for extreme rainfall events. Her work increasingly integrates public health perspectives with climate science. Scientific Recognition: Fellow of the Royal Meteorological Society (FRMetS) Teaching & Advising: As an Associate Fellow of the Higher Education Academy (HEA), she currently teaches the Literature Project module (NSCI0004) for Natural Sciences at UCL. Her past teaching includes: Undergraduate research supervision (University of Exeter) Masters project supervision and guest lecturing (UCL) Instruction of Masters/PhD candidates (University of Oulu, Finland) Professional Engagement: Dr. Roy serves as reviewer for over 40 international journals (including Nature Geoscience and Science Reports) and grant agencies such as NSF, Royal Society, and French National Research Agency. She co-convenes sessions at major conferences (AOGS) and previously held editorial roles at Frontiers journals.
Dr. Miguel Rico-Ramirez serves as Associate Professor of Radar Hydrology and Hydroinformatics at the University of Bristol's School of Civil, Aerospace and Design Engineering. His research integrates advanced radar technology with hydrological modeling to address critical water resource challenges including flood forecasting, drought management, and precipitation measurement across diverse global contexts from South Korea to Mexico City. Education: Bachelor of Engineering (Eng.) Master of Engineering (M.Eng.) Ph.D. in Engineering, University of Bristol His research program focuses on radar-based precipitation estimation, hydroinformatics, and flood prediction systems. He pioneers deep learning applications for rainfall nowcasting and develops innovative methods for uncertainty quantification in hydrological modeling. Current work emphasizes cosmic-ray neutron sensor validation, satellite-based flood mapping, and seasonal forecast applications for reservoir operations, with strong emphasis on translating research into operational water management solutions. Recent publications (2023-2025) reveal three dominant research thrusts: (1) deep learning frameworks for spatiotemporal rainfall prediction, (2) global validation of precipitation and soil moisture datasets using novel sensor networks, and (3) operational implementation of seasonal forecasts for drought mitigation in South Korea. His work consistently bridges radar meteorology with practical hydrological applications across urban and data-scarce environments. Scientific Awards: No specific awards documented in source materials Dr. Rico-Ramirez supervises postgraduate researchers in radar hydrology and hydroinformatics, with projects spanning flood early warning systems, precipitation nowcasting, and climate adaptation strategies. His research receives funding for international collaborations focused on water security challenges, particularly in drought-prone regions and data-scarce basins like the Nile Delta. Current grants support development of integrated forecasting systems combining global datasets with machine learning for extreme event management. He leads the Radar Hydrology research group within Bristol's Water and Environmental Engineering division, collaborating closely with Professor Dawei Han on hydroinformatics and Dr. Rafael Rosolem on water-climate interactions. The team maintains active partnerships with meteorological agencies and water authorities globally, particularly in flood forecasting system implementation across South Korea and Mexico.
Dr. Dana E. Veron is a Professor and Co-Director of the Gerard J. Mangone Climate Change Science and Policy Hub at the University of Delaware (UD). She holds roles as Associate Chair of the Department of Geography and Spatial Sciences and Faculty Director for the Environmental Science major and Climate Scholars program. Her research focuses on climate change impacts, polar meteorology, and offshore wind energy. She earned a Ph.D. in Oceanography from Scripps Institution of Oceanography (2000) and a B.A. in Physics from SUNY Geneseo (1995). Key research areas include Arctic energy balance, Antarctic boundary layer processes, cloud-radiation interactions, and coastal wind dynamics. She leads the Veron Lab, collaborating internationally on projects like CALVA in Antarctica. Dr. Veron also advances climate education through initiatives like MADE-CLEAR, addressing curriculum gaps and teacher training. Her work bridges academia and policy, contributing to UD's Delaware Environmental Institute and Center for Research in Wind (CReW). Notable contributions include studies on sea breeze impacts on wind energy forecasting and climate change literacy in higher education. Affiliations include the Provost Faculty Fellows program and roles on the Honors Program Board. She advises multiple graduate students and teaches courses on climate dynamics, oceanography, and wind energy.
Prof. Dr.-Ing. Annette Eicker is a Professor of Geodesy and Adjustment Calculations at the HafenCity University Hamburg (HCU), where she has been serving since 2016. Prior to her current position, she was an Academic Councillor at the Institute of Geodesy and Geoinformation at the University of Bonn (2014-2016), and has held visiting research positions at NASA's Jet Propulsion Laboratory in Pasadena, USA (2015) and the University of Rennes 1 in France (2014). Her research focuses on satellite gravimetry, particularly utilizing GRACE (Gravity Recovery and Climate Experiment) and GRACE-FO (Follow-On) mission data to monitor terrestrial water storage, study climate-related mass changes, and develop advanced methods for gravity field recovery. Her work bridges geodesy, hydrology, and climate science, with significant contributions to understanding global water cycle dynamics and developing next-generation gravity missions like MAGIC (Mass-change And Geosciences International Constellation). Analysis of her recent publications reveals a strong emphasis on improving the accuracy and applications of satellite gravity data for hydrological monitoring, with increasing focus on next-generation missions and daily gravity field solutions. Her research spans from fundamental method development (e.g., GROOPS software toolkit) to practical applications for water resource management and climate change monitoring. Prof. Eicker's work demonstrates leadership in the field of satellite gravimetry, with numerous publications in high-impact journals addressing critical challenges in Earth observation and climate monitoring. Though specific awards aren't mentioned in the provided materials, her extensive publication record and leadership in major projects like MAGIC indicate significant recognition within the geodetic and hydrological communities. Her research has strong implications for understanding climate change impacts on water resources, with applications in drought monitoring, flood risk assessment, and sustainable water management. She maintains active collaborations with international institutions including NASA's Jet Propulsion Laboratory and has contributed to major initiatives like the GlobalCDA Project, which integrates geodetic and remote sensing data with hydrological models.
Steven Greybush is an Associate Professor in the Department of Meteorology and Atmospheric Science at Pennsylvania State University, College of Earth and Mineral Sciences. He is based in University Park, PA, and his research bridges atmospheric science, climate modeling, and interdisciplinary applications. He leads and contributes to major research initiatives involving AI-enhanced weather forecasting, planetary meteorology, and climate impacts on water and health systems. His research interests include Atmospheric Science , Climate Modeling , Data Assimilation , Planetary Meteorology (especially Mars) , Lake-Effect Snowbands , Tropical Cyclones , and Climate-Health Interactions . His work applies advanced techniques such as the Ensemble Kalman Filter (EnKF), Local Ensemble Transform Kalman Filter (LETKF), and AI-driven models to improve predictions of weather and climate phenomena. His recent publications (2021–2025) reveal a strong trend in integrating satellite and radar data into numerical models, enhancing forecasts of convection, hurricanes, and snowstorms. He also explores Martian atmospheric dynamics and the impact of climate variability on public health in Africa. His work is supported by major grants from NASA and NSF, including a $1.23 million NASA grant to improve AI satellite weather forecasting and an NSF grant for AI-powered weather pattern understanding. $1.23 million NASA grant for AI satellite weather forecasting NSF grant for AI-powered weather pattern understanding Penn State part of $6.6M consortium to improve weather forecasting Reducing Uncertainty in River System Forecasts to Maximize Nuclear and Hydro Generation Greybush collaborates with interdisciplinary teams and participates in field campaigns such as IMPACTS (Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms). He advises or co-advises graduate students and researchers, though specific advisees are not listed. His work is published in top journals including Journal of Geophysical Research , Monthly Weather Review , JAMA Network Open , and PNAS .
Vishnu S Nair serves as Assistant Professor (Grade I) in the School of Earth, Environmental and Sustainability Sciences at IISER Thiruvananthapuram since January 2024, following postdoctoral positions at IRD-France (2022-2023) and UC Berkeley (2019-2021). His research bridges tropical meteorology and climate science with practical applications for monsoon forecasting and climate adaptation. Education PhD in Meteorology & Oceanography, ESSO-INCOIS/Andhra University (2011-2017) Dr. Nair's research centers on monsoon low-pressure systems, investigating their historical variability, climate change impacts, and connections to extreme rainfall events. He develops advanced tracking algorithms and dynamical downscaling techniques to improve climate projections for vulnerable regions like South Asia and Pacific Islands. His work integrates observational analysis, climate modeling, and real-time forecasting systems to address critical questions about monsoon dynamics under global warming. His 14 publications (2014-2023) reveal consistent focus on monsoon system behavior, with recent work emphasizing future projections of low-pressure systems and observed increases in extreme rainfall rates. Key methodologies include high-resolution modeling, global dataset creation, and teleconnection analysis between monsoons and phenomena like ENSO and IOD. Scientific Recognition Gold Medal for Best PhD Thesis, Andhra University (2018) Junior Research Fellowship with Lectureship, CSIR-UGC (2011) CLIPSSA Postdoctoral Fellowship at IRD-France (2022-2023) Monsoon Mission Postdoctoral Fellowship at UC Berkeley (2019-2021) Dr. Nair actively recruits PhD candidates (requiring CSIR-JRF/GATE fellowships) and offers winter/summer internships in tropical meteorology. His research is supported by international projects including CLIPSSA for Pacific Island climate adaptation and India's Monsoon Mission for forecasting improvements. He contributes to global monsoon datasets used by meteorologists worldwide and serves as referee for leading journals like Geophysical Research Letters . He leads the Monsoon Dynamics Research Group at IISER-TVM, collaborating with institutions including Météo-France, UC Berkeley, and Indian climate research centers. Current initiatives focus on dynamical downscaling for island-scale climate projections and real-time tracking systems for monsoon low-pressure systems.
Summer Rupper is a Professor at the School of Environment, Society & Sustainability at the University of Utah, where she has held her position since July 2019. Her research focuses on understanding the interactions between climate, glaciers, and water resources, with particular emphasis on high mountain regions including High Mountain Asia, the Himalayas, and polar regions. She leads multiple research projects examining glacier dynamics, hydrological processes, and climate change impacts on water security for downstream populations. BS in Geology from Brigham Young University (2001) MS in Geology from University of Washington (2004) PhD in Earth and Space Sciences from University of Washington (2007) Professor Rupper's research spans physical geography, environmental geoscience, and climate change science, with specific expertise in glaciology, hydrology, and atmospheric sciences. Her work integrates field measurements, remote sensing, and numerical modeling to understand glacier dynamics, snow processes, and water resource availability in mountainous regions. She has particular expertise in High Mountain Asia, where glaciers provide critical water resources for over a billion people. Her research addresses fundamental questions about glacier response to climate change, hydrological partitioning, and the implications for water security in vulnerable regions. Her recent publications demonstrate a consistent focus on understanding glacier dynamics, hydrological processes, and climate interactions in mountainous regions. The work spans multiple methodologies including remote sensing analysis, numerical modeling, statistical approaches, and field-based measurements. Key themes include glacier melt contributions to river systems, precipitation patterns in complex terrain, snow density modeling, and the impacts of climate change on water resources in High Mountain Asia and polar regions. Her research often integrates multiple data sources and approaches to address complex questions about cryospheric processes and their societal implications. Superior Research Award (2024, CSBS, University of Utah) G.K. Gilbert Award for Excellence in Geomorphic Research (2022) Outstanding Utah Higher Education Science Teacher (2021) Top Researcher Award, Celebrate U showcase (2017) Antarctic Service Medal (2010, USAF) Professor Rupper actively mentors graduate students through thesis research courses at both the PhD and Master's levels, as well as individual projects. She has secured significant research funding from multiple federal agencies including NSF, NASA, and USAID, with current projects examining climatic controls on Antarctic ice sheets, glacier dynamics in High Mountain Asia, and historical glacier changes. Her collaborative work extends across international boundaries, working with scientists in Pakistan, Bhutan, and other regions to address shared water security challenges. She also engages in community outreach through workshops with school districts and science teacher associations to communicate climate science to broader audiences. Professor Rupper participates in multiple collaborative research teams including the NASA High Mountain Asia Team (HiMAT), where she contributes expertise in glacier dynamics and hydrology. She serves on several scientific committees including the NSF Ice Core Facility Sample Allocation Committee and the American Geophysical Union Cryosphere Section Fellows Committee. Her research often involves interdisciplinary teams combining expertise in glaciology, hydrology, remote sensing, and climate modeling to address complex questions about mountain water systems under changing climate conditions.
Dr Amber Leeson is a Reader in Glaciology at Lancaster Environment Centre , Lancaster University. She serves as Associate Director for Research and leads projects integrating data science , numerical modeling , and remote sensing to study climate change impacts on the Greenland and Antarctic Ice Sheets . Her current research focuses on supraglacial hydrology , digital twinning of ice sheets , and firn evolution . Current Research Themes Ice sheet surface climate representation in models Supraglacial hydrology and ice sheet dynamics Firn evolution (past, present, future) Leadership Roles Associate Director for Research, Lancaster Environment Centre Treasurer and Secretary, International Glaciological Society Theme Lead for Environment, Data Science Institute (DSI) Her teaching includes courses on Glacial Systems, Environmental Processes, and Global Change. She supervises undergraduate and master's dissertations in Polar Science . Recent projects include Arctic Extremes (ARCTEX) , 5D Antarctica (5DAIS) , and AI Forecasting for Ice Shelf Collapse (AI4IS) . Amber's scientific contributions span climate model calibration, firn densification studies, and supraglacial lake dynamics. She has held advisory roles for the UK Polar Network , AGU Cryosphere Committee , and UKNCAR . Her work unites glaciology , data science , and climate modeling to address planetary-scale environmental challenges.
Dawei Han serves as Professor of Hydroinformatics at the University of Bristol's School of Civil, Aerospace and Design Engineering, leveraging advanced computational techniques to address hydrological challenges. Holding a B.Eng. and M.Sc. from Huabei alongside a Ph.D. from Salford, he is recognized as a Chartered Engineer (C.Eng.) and Fellow of the Chartered Institution of Water and Environmental Management (FCIWEM). His academic credentials include: Bachelor of Engineering (B.Eng.) from Huabei Master of Science (M.Sc.) from Huabei Doctor of Philosophy (Ph.D.) from University of Salford Professor Han's research focuses on integrating hydroinformatics with practical water management solutions, particularly in urban environments. His work pioneers applications of machine learning for rainfall nowcasting, radar-based hydrological monitoring, and climate change impact assessment. Key innovations include DREE-RF for rainfall energy estimation and frameworks for urban flood resilience, emphasizing data-driven approaches to enhance prediction accuracy and risk mitigation strategies. Analysis of his 2024-2025 publications reveals dominant themes in urban hydrology (40%), flood risk management (30%), and climate-remote sensing integration (30%). His research spans global contexts from UK catchments to Iraqi rainfall systems, consistently employing computational methods like neural networks and WRF modeling to address data-scarce environments and extreme weather events. Professional recognition includes: Fellow of the Chartered Institution of Water and Environmental Management (FCIWEM) While specific student supervision details are unavailable, his extensive publication record indicates active mentorship in hydroinformatics. Research grants likely support his work on radar remote sensing and urban climate adaptation, though explicit funding sources aren't documented in the source material. His affiliation with Bristol's engineering school positions him within interdisciplinary teams addressing infrastructure resilience, though laboratory-specific information remains unreported.
