جست‌وجوی استاد و پژوهشگر

Clarissa Alicia Krollمشاهده پروفایل

پژوهشگر ارشد

• Climate Dynamics
• Atmospheric Science
• Stratospheric Moisture
• +۳ مورد دیگر

Clarissa Alicia Kroll is a Research Fellow affiliated with the Professorship for Climate Dynamics at ETH Zurich's Department of Environmental Systems Science. Her research focuses on tropical atmospheric circulation, stratospheric water vapor dynamics, and process-based model evaluation. She holds an ETH Postdoctoral Fellowship (2024) and contributes to high-performance computing projects involving km-scale weather and climate simulations on systems like Alps and Daint. Her work spans interdisciplinary fields including climate dynamics, atmospheric chemistry, and medical physics. Key research areas include the impact of volcanic eruptions on stratospheric moisture, hydrometeor transport pathways in the tropical tropopause layer, and improving computational models for MRI-guided radiation therapy. Research Highlights: Analysis of indirect stratospheric moisture changes post-volcanic eruptions Development of high-resolution climate models (ICON-Sapphire) Investigation of spatial distortion effects in medical imaging Publications reflect her dual expertise in climate science and medical physics, with recent contributions to Communications Earth and Environment , Environmental Research Letters , and Geoscientific Model Development . She actively collaborates with global research networks on both climate systems and computational healthcare technologies.

Zhihong Liمشاهده پروفایل

پژوهشگر ارشد

• Data Assimilation
• Convective-Scale Nowcasting
• Numerical Weather Prediction (NWP)
• +۴ مورد دیگر

Dr. Zhihong Li is a Senior Research Scientist at the Met Office, affiliated with the Department of Meteorology at the University of Reading. His work focuses on advancing data assimilation methods for high-resolution (1.5 km) numerical weather prediction (NWP) systems, particularly for nowcasting applications (0–6 hour forecasts). He specializes in 3D-Var and 4D-Var techniques and their integration into the Met Office's Unified Model to improve initial conditions and assimilate novel observations like radar Doppler winds and reflectivities. Previously, Zhihong spent a decade at the University of Wales Bangor researching coastal and shelf seas numerical modeling before joining the Met Office in 1999. Since 2003, he has contributed to the JCMM Data Assimilation group, aiding the development of operational high-resolution forecasting systems. His current projects emphasize verifying rainfall, fog, and cloud forecasts using rapid hourly data assimilation cycles. Zhihong's expertise bridges ocean-atmosphere interactions, coastal modeling, and cutting-edge NWP methodologies. Despite his senior role, no specific scientific awards are explicitly stated in the provided text. His research team, MetOffice@Reading Obs R&D Surface Team, collaborates closely with academic and operational meteorological communities to enhance short-range forecast accuracy.

Alexander Kurapovمشاهده پروفایل

استاد مدعو

• Ocean Modeling
• Data Assimilation
• Coastal Oceanography
• +۷ مورد دیگر

Alexander Kurapov holds a Courtesy Appointment at Oregon State University within the College of Earth, Ocean, and Atmospheric Sciences, Department of Oceanography. He is actively engaged in research involving ocean modeling and data assimilation, with a focus on coastal and shelf processes along the U.S. West Coast and the Bering Sea. His research interests span oceanic data assimilation, coastal ocean modeling, wind-driven circulation, internal tides, shelf mixing, and nearshore flows. These areas are central to understanding coastal dynamics, climate variability, and improving ocean forecasting systems. The recent publications highlight a strong trend in high-resolution numerical modeling, variational and ensemble data assimilation techniques, and analysis of coastal and shelf-scale processes. Topics include internal tide dynamics, sea level variability, glider data integration, and wave-current interactions, primarily in the Pacific Northwest and Bering Sea regions. The work demonstrates consistent application of advanced modeling frameworks to real-world oceanographic problems. Alexander Kurapov has collaborated extensively with leading oceanographers at Oregon State University and beyond, contributing to major projects such as the US Integrated Ocean Observing System (IOOS). While no formal awards are listed, his body of work reflects significant contributions to coastal ocean science. He has advised or collaborated with numerous researchers, though specific students are not named. His work often involves model development, observational integration, and participation in multi-institutional efforts. Kurapov’s research is supported through collaborative grants and institutional resources, though specific funding sources are not detailed in the text. His work is closely tied to modeling teams at Oregon State University, particularly those involved in coastal ocean forecasting, data assimilation, and nearshore dynamics. He contributes to systems like the West Coast Ocean Forecast System (WCOFS) and participates in regional observational-modeling initiatives.

Abigail Bodnerمشاهده پروفایل

استادیار

• Climate science
• Physical oceanography
• Geophysical fluid dynamics
• +۴ مورد دیگر

Abigail Bodner is an Assistant Professor at the Massachusetts Institute of Technology (MIT), holding a joint appointment between the Departments of Earth, Atmospheric, and Planetary Sciences (EAPS) and Electrical Engineering and Computer Science (EECS). Her research spans climate science, physical oceanography, and geophysical fluid dynamics, focusing on turbulence in the upper ocean across scales from 100 km to 1 m using theory, simulations, climate models, and machine learning. She also studies coastal sea level drivers and co-founded Climatematch Academy, an online program for computational training in climate science. Education: ScM in Applied Mathematics from Brown University; MSc in Atmospheric Sciences from Tel Aviv University; BSc in Mathematics and Earth Sciences from Tel Aviv University Her current work emphasizes ocean submesoscale turbulence parameterization, with a focus on improving climate models through data-driven approaches. She has developed physics-based methods to address unresolved ocean-atmosphere interactions in climate models. Scientific awards include the Community Earth Systems Model Graduate Student Award. She is actively recruiting postdoctoral associates at MIT and collaborates with institutions like NYU's Courant Institute.

Alexander J. Bakerمشاهده پروفایل

پژوهشگر

• Tropical Cyclones
• Climate Modeling
• Atmospheric Dynamics
• +۳ مورد دیگر

Dr. Alexander J. Baker is a Senior Research Scientist at the National Centre for Atmospheric Science (NCAS) and the University of Reading's Department of Meteorology. His research focuses on high-resolution climate modeling, particularly examining tropical cyclones, North Atlantic climate variability, and paleoclimate reconstruction through stable water isotopes. Senior Research Scientist, NCAS High-Resolution Climate Modelling group member Project Manager, Huracan project Co-organizer, NCAS Climate Modelling Summer School Dr. Baker's research interests span: Tropical and post-tropical cyclones Global km-scale climate model evaluation Air-sea interactions in cyclones Atmospheric circulation patterns North Atlantic climate extremes Paleoclimatology using speleothems He supervises: Lewis Grant (PhD 2025-2028): High-resolution sub-seasonal tropical cyclone predictions Elliott Sainsbury (PhD 2019-2022): Post-tropical cyclones in European extreme weather His publication record (2014-2025) reveals: Leading research in tropical cyclone modeling Expertise in global storm-resolving climate models Major contributions to understanding Atlantic Multidecadal Variability Current focus on model resolution impacts on climate simulations Interdisciplinary work combining meteorology and paleoclimatology Industry collaboration through Insurance Special Interest Group Scientific contributions: Advancing High-Resolution Climate Modelling group's research Website administrator for HRCM research group Co-organizer of influential climate seminars

Jacob Wenegratمشاهده پروفایل

استادیار

• Physical Oceanography
• Geophysical Fluid Dynamics
• Submesoscale Processes
• +۳ مورد دیگر

Jacob Wenegrat is an Assistant Professor in the Department of Atmospheric and Oceanic Science at the University of Maryland, College Park. His research focuses on submesoscale ocean processes (0.1-10 km scales), combining theory, high-resolution numerical simulations, and observational data. Key research areas include ocean submesoscale dynamics, air-sea interaction, boundary layer turbulence, and multi-scale fluid dynamics. He teaches courses such as Physical Oceanography (AOSC420/670) and Oceanography of the Chesapeake and Mid-Atlantic (AOSC421). His group actively collaborates with observationalists and large-scale modelers to bridge fundamental dynamics with interdisciplinary applications like climate science and marine ecosystems. Wenegrat advises a diverse group of graduate students and postdocs working on topics including submesoscale turbulence, coastal oceanography, and numerical modeling. His lab utilizes advanced computational tools and field data from initiatives like the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE). Recent research highlights include studies on marine heatwaves in the Chesapeake Bay, turbulent dynamics of submesoscale vortices, and the role of submesoscale processes in global ocean boundary layers. His work emphasizes connecting small-scale physics to broader environmental and climate systems.

Henning Frankeمشاهده پروفایل

پژوهشگر

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

Henning Franke is a Researcher (Postdoc) at the Max Planck Institute for Meteorology's Department of Climate Physics, focusing on the Climate Surface Interaction group. His research leverages km-scale general circulation models to explore atmospheric circulation systems, from thunderstorms to global wind patterns. He investigates processes like gravity waves and their role in phenomena like the Quasi-Biennial Oscillation (QBO), while advancing model development to address climate change impacts. Education PhD in Earth System Sciences (2020–2024): Max Planck Institute for Meteorology M.Sc. Meteorology (2017–2020): University of Hamburg B.Sc. Meteorology (2014–2018): University of Hamburg Research Focus His work emphasizes understanding climate dynamics through high-resolution modeling, particularly the QBO's behavior under global warming and interactions between ocean mesoscale structures and tropical convection. He explores model dependencies and aerosol effects on atmospheric circulation. Publications Recent studies highlight advancements in QBO simulation accuracy, effects of global warming on gravity waves, and stratospheric aerosol modeling during volcanic eruptions. His work bridges theoretical insights with computational innovations, such as GPU-based climate modeling frameworks. Labs/Teams He contributes to the Climate Surface Interaction group and collaborates on projects like the ICON model development and RV SONNE ocean-atmosphere measurement campaigns.

Andreas Preinمشاهده پروفایل

استاد

• High-resolution weather and climate modeling
• Extreme weather events
• Convection-permitting climate models
• +۳ مورد دیگر

Andreas Prein is Full Professor at ETH Zurich's Department of Environmental Systems Science and leads the High-Resolution Weather and Climate Modeling group. He specializes in modeling weather and climate dynamics, focusing on extreme events across scales, with particular emphasis on regional and local-scale extremes in a warming climate. His research bridges fundamental process understanding with practical applications, actively collaborating with stakeholders and contributing to international programs like the World Climate Research Programme (WCRP). Research Focus High-resolution weather and climate modeling Physical processes driving extreme events Regional/local-scale climate extremes Convection-permitting climate models Mesoscale convective systems Publications Trend His 2025 publications demonstrate a strong focus on extreme precipitation, mesoscale convective systems, and high-resolution modeling applications across global regions including the US, China, South America, and Spain. The work emphasizes both methodological advances (machine learning, downscaling techniques) and practical applications (flood attribution, risk assessment). Scientific Recognition Clarivate Highly Cited Researcher Over 100 peer-reviewed publications Deputy Director, Center for Climate and Weather Extremes (NCAR) WCRP and GEWEX panel member Professional Activities Active in international scientific panels and frequently advises government agencies on climate extremes. His group at ETH Zurich focuses on dynamically modeling weather and climate systems to understand changes in extreme events.

Abigail Bodnerمشاهده پروفایل

استادیار

• Climate Science
• Physical Oceanography
• Geophysical Fluid Dynamics
• +۵ مورد دیگر

Abigail Bodner is an Assistant Professor at the Massachusetts Institute of Technology with a joint appointment between the Department of Earth, Atmospheric and Planetary Sciences in the School of Science and the Department of Electrical Engineering and Computer Science. Her educational background includes: BSc in Mathematics and Earth Sciences from Tel Aviv University MSc in Atmospheric Sciences from Tel Aviv University ScM in Applied Mathematics from Brown University PhD in Earth, Environmental and Planetary Science from Brown University (2021) Professor Bodner's research spans climate science, physical oceanography, geophysical fluid dynamics, and turbulence. She investigates multi-scale turbulent interactions in the upper ocean from O(100 km) to O(1 m) using a combination of theoretical approaches, high-resolution numerical simulations, climate models, and machine learning techniques. A key focus of her work is understanding the dynamic interplay between ocean submesoscales and boundary layer turbulence, with recent interest expanding to coastal sea level drivers. Her research has significant implications for improving climate models by better representing unresolved physics associated with submesoscale turbulence. Her scientific contributions have been recognized with several prestigious awards: NASA Transform to Open Science Training Award (2023) Simons Society Junior Fellow (2021) Community Earth Systems Model Graduate Student Award Professor Bodner is passionate about teaching computational tools for climate science and co-founded Climatematch Academy, an online program dedicated to building a global and diverse climate science community equipped with computational tools to address climate challenges. She is actively involved in mentoring students and has an open postdoctoral position focused on implementing data-driven approaches in ocean modeling. Her research is conducted through collaborations with the Multiscale Machine Learning In Coupled Earth System Modeling (M²LInES) initiative, where she works on developing data-driven parameterizations for submesoscale processes in climate models.

Matthew H. Hitchmanمشاهده پروفایل

استاد

• Atmospheric Dynamics
• Climate Change
• Synoptic Meteorology
• +۷ مورد دیگر

Professor Matthew H. Hitchman is a full Professor of Atmospheric and Oceanic Sciences at the University of Wisconsin–Madison, where he has been on the faculty since 1988. His research focuses on the dynamics of the atmosphere and ocean, including the general circulation, synoptic and mesoscales, volcanic aerosol distribution, and ozone climatology. He is currently investigating transport and mixing in the upper troposphere and lower stratosphere, the influence of tropical convection on the extratropics, and dynamical coupling between the troposphere and stratosphere. Education: Ph.D. in Atmospheric Science, University of Washington (1985) Professor Hitchman's research interests span atmospheric dynamics, synoptic meteorology, large-scale dynamics, climate change, and the role of inertial instability in midlatitude and tropical cyclones. His work involves the use of global datasets, aircraft data, and numerical models to explore the structure and evolution of the atmosphere, particularly in the upper troposphere and lower stratosphere (UTLS). He has made significant contributions to understanding the Quasi-Biennial Oscillation (QBO), volcanic aerosol transport, and the dynamics of ozone distribution. His recent publications include studies on the Iowa derecho of August 2020, teleconnections between the QBO and boreal winter surface climate, and the influence of gravity waves on the tropical tropopause layer. His research has been supported by the National Science Foundation and other agencies, and he has served as Principal Investigator for projects investigating Antarctic meteorology and ENSO influences on atmospheric circulation. Scientific Awards: While specific awards are not listed, his extensive publication record and leadership in research projects underscore his significant impact in atmospheric sciences. Professor Hitchman has advised numerous Ph.D. and Master's students, as well as postdoctoral researchers. His current and former advisees include Yingshun Sun, Wenyuan Du, Charles R. Trepte, John A. Knox, and many others who have gone on to prominent positions in academia and government research institutions. He teaches undergraduate courses such as AOS 171: Global Change: Atmospheric Issues and Problems, and graduate courses including AOS 610: Geophysical Fluid Dynamics I, AOS 611: Geophysical Fluid Dynamics II, AOS 705: The Middle Atmosphere, and AOS 712: The General Circulation.

• Biogeochemistry
• Climate Science
• Hydrology
• +۳ مورد دیگر

Dr. Sujan Koirala is a Researcher at the Max-Planck-Institute for Biogeochemistry, Department of Biogeochemical Integration (BGI). His work focuses on Model-Data Integration of carbon and water cycles, developing process-based models to quantify uncertainties in structural and observational data. Key research interests include global water and carbon budget dynamics, groundwater's role in ecosystems, and the quantification of land-atmosphere CO2 exchange. He contributes to frameworks like the SINDBAD model and ESMValTool for climate and biogeochemical modeling. His recent studies address interannual variability in ecosystem productivity, machine learning applications in hydrology, and the impacts of climate change on water limitations. Education details are not explicitly provided, but his research spans biogeochemistry, hydrology, and climate science. Collaborations involve global hydrological models and satellite data integration. He is affiliated with the Model-Data Integration research group and has published extensively on carbon cycle modeling, groundwater dynamics, and disturbance regimes in forest ecosystems.

Marianna Adinolfiمشاهده پروفایل

پژوهشگر

• Climate Science
• Environmental Engineering
• Regional Climate Modeling
• +۳ مورد دیگر

Marianna Adinolfi is a Researcher at the CMCC Foundation since 2018, leading the 'Regional advanced climate tools' Research Unit. Her work focuses on extreme weather events , urban climates , and regional climate modeling over complex areas , contributing to international initiatives and national/EU projects. Education: Ph.D. in Energy Science and Engineering Her research spans climate modeling , geo-hydrological impacts , and climate change adaptation , with over 25 publications. Key topics include Km-scale simulations , urban heat islands , and wind energy projections . The articles highlight her expertise in regional climate modeling , extreme event analysis , and climate risk communication , covering sub-fields like model intercomparison , urban adaptation strategies , and high-resolution simulations over complex terrain . She actively participates in the WCRP CORDEX Flagship Pilot Study URB-RCC and leads climate resilience projects, emphasizing interactions between urban environments and regional climate change .

Harriet C. P. Lauمشاهده پروفایل

استادیار

• Earth History
• Geophysics
• Oceans Ice and Atmospheres
• +۱ مورد دیگر

Harriet C. P. Lau is an Assistant Professor in the Department of Earth, Environmental & Planetary Sciences at Brown University. Her research focuses on global-scale geodynamical problems across diverse timescales, including solid Earth tides, ice sheet melting impacts, and mantle convection dynamics. She holds a PhD from Harvard University (2017) and an MSc from Imperial College (2012). Research interests include Earth History, Geophysics, Oceans-Ice-Atmospheres interactions, and Environmental Science. Her work bridges short-term phenomena like ocean tides with long-term processes such as mantle convection, aiming to unify Earth's behavior across timescales. Notable achievements include the 2022 Packard Fellowship and co-authorship of influential studies on early Earth tectonics and meltwater pulse reconstructions. She teaches courses on dynamic Earth processes and sea level changes.

Luis Samaniegoمشاهده پروفایل

استاد

• Hydrology
• Drought Monitoring
• Flood Forecasting
• +۴ مورد دیگر

Prof. Dr. Luis Samaniego serves as Deputy Head of the Department of Computational Hydrosystems at the Helmholtz Centre for Environmental Research - UFZ in Leipzig, Germany. With the academic title 'Prof. Dr. rer. nat. habil.', he leads significant research initiatives focused on hydrological modeling and climate change impacts on water resources. Dr. Samaniego's research program centers on developing advanced parameterizations for the distributed mesoscale hydrologic model (mHM), with emphasis on capturing subgrid variability of land-vegetation-atmospheric interactions at high resolution from local to global scales. His work aims to improve predictions of streamflow, evapotranspiration, and soil moisture, particularly for extreme hydrological events under changing climatic conditions. He has been instrumental in developing the German Drought Monitor (https://www.ufz.de/duerremonitor), which provides high-resolution drought information at the one-kilometer scale for Germany. His publication record demonstrates consistent focus on drought and flood monitoring, forecasting, and modeling across multiple spatial scales. Recent work shows particular emphasis on high-resolution drought simulations, flood prediction systems, and climate change impacts on water resources across Europe and globally. His research often involves international collaborations, as evidenced by his participation in numerous multi-institutional publications, including the ESA-funded 4DHydro project that aims to improve Earth Observation data products for hydrological modeling. Dr. Samaniego actively contributes to impact-based early warning systems for riverine flooding, as demonstrated by his co-authorship of research published in Nature Communications that showcases 17-hour lead time for flood prediction. His work bridges scientific research with practical applications for disaster risk reduction, water resource management, and climate adaptation strategies.

Menno van den Houtمشاهده پروفایل

پژوهشگر

• Optical Communication
• Multi-Core Fibers
• Space-Division Multiplexing (SDM)
• +۴ مورد دیگر

Menno van den Hout is a Postdoc researcher at Eindhoven University of Technology (TU/e) within the Department of Electrical Engineering. He holds a BSc (2017) and MSc (2019, cum laude) in Electrical Engineering from TU/e, with a focus on Electro-Optical Communication. His research emphasizes high-capacity optical transmission systems, including multi-core fibers, space-division multiplexing (SDM), and free-space optical communication. He has contributed to record-breaking transmissions, such as 273.6 Tb/s over 1001 km of 15-mode fiber and 45.7 Tb/s over 12,053 km using multi-core recirculating loops. His work also explores quantum key distribution (CV-QKD), turbulence mitigation in FSO systems, and modal dispersion reduction techniques. He has been involved in projects like SmartTWO and Testbed Setup with ECI, advancing future telecom technologies. Notably, he has received awards for his contributions, including the Corning Outstanding Student Paper Competition Finalist (2025) and Optica Student Paper Award (2022). Research Interests: High-capacity optical transmission systems Multi-core and multi-mode fibers Space-division multiplexing (SDM) Free-space optical communication Quantum key distribution (CV-QKD) Advanced signal processing for fiber optics Awards: Corning Outstanding Student Paper Competition Finalist (2025) Optica Student Paper Award (2022) OECC 2019 Best Paper Award (2019) Grants & Projects: SmartTWO: Maverick Telecom Technologies (2019–2025) Testbed Setup with ECI (2017–2021) Labs & Teams: Member of the Electro-Optical Communication (ECO) group at TU/e, focusing on spectral/spatial agile optical transmission systems.