جست‌وجوی استاد و پژوهشگر

Nathaniel Chaneyمشاهده پروفایل

استادیار

• Hydrology
• Earth System Science
• Soil Science
• +۱۲ مورد دیگر

Nathaniel Chaney is an Assistant Professor in the Department of Civil and Environmental Engineering at Duke University’s Pratt School of Engineering. He leads the Chaney Lab, a research group focused on computational hydrology and Earth system modeling. His work centers on understanding and representing land surface heterogeneity in hydrological and climate models using big data, machine learning, and high-performance computing. Ph.D. in Hydrology, Princeton University, 2015 B.A. in Atmospheric Sciences and Applied Mathematics, U.C. Berkeley Postdoctoral Research Associate, Princeton University and NOAA Geophysical Fluid Dynamics Laboratory His research interests include hydrology, Earth system science, soil science, ecology, geomorphology, numerical modeling, high performance computing, machine learning, and environmental data assimilation. He develops and applies models like HydroBlocks and POLARIS to improve the representation of land heterogeneity in Earth system models. His work bridges field-scale and macro-scale hydrology, addressing challenges in land-atmosphere interactions, drought monitoring, and climate prediction. The most recent publications highlight advancements in modeling land heterogeneity, improving soil moisture estimates, characterizing land surface temperature patterns, and enhancing Earth system models through better representation of catchment-scale processes. Key themes include spatial heterogeneity, land-atmosphere coupling, and the integration of remote sensing data with high-resolution modeling. He is actively mentoring several Ph.D. students, including Laura Torres Rojas, Tyler Waterman, Emma Xu, Jiaxuan Cai, Luiz Bacelar, Daniel Guyumus, and undergraduate Sarah Bailey. His lab fosters interdisciplinary research in hydrology, climate science, and data science. Nathaniel Chaney teaches courses such as CEE 584: Physical Hydrology, CEE 506: Environmental Spatial Data Analysis, and various independent study and advanced topics courses in civil and environmental engineering. He is currently recruiting motivated Ph.D. and postdoctoral researchers interested in his research themes.

Thomas Wöhlingمشاهده پروفایل

پژوهشگر

• Integrated environmental systems modeling
• Surface water-groundwater interactions
• Braided river systems
• +۹ مورد دیگر

PD Dr. habil. Thomas Wöhling serves as a Senior Research Scientist and Team Leader for Stochastic Modelling of Hydrosystems at the Chair of Hydrology, Dresden University of Technology's Faculty of Environmental Sciences. His research spans integrated environmental systems modeling with particular expertise in surface water-groundwater interactions, braided river systems, and vadose zone processes. Previously, he held research positions at Water and Earth System Sciences Competence Cluster in Tübingen (2010-2015) and Lincoln Environmental Research in New Zealand (2006-2010). Dr. Wöhling completed his Dipl.-Hydrol. (1999) and PhD in Hydrology (2005) at Dresden University of Technology, followed by habilitation in Stochastic Hydrology (2021). His educational background includes extensive research at the Institute of Hydrology and Meteorology at TU Dresden (1999-2005) where he developed foundational expertise in hydrological modeling. Wöhling's research focuses on integrated modeling of coupled environmental systems , particularly flow and contaminant transport in surface water-groundwater systems, nutrient and energy fluxes in soil-plant-atmosphere systems, and distributed hydrological modeling. His work emphasizes stochastic modeling and uncertainty analysis , with significant contributions to inverse modeling, model calibration, multiobjective optimization, and Bayesian model averaging techniques. He has pioneered methods for evaluating monitoring network worth and data utility for environmental models. His publication record demonstrates consistent contributions to hydrological science, with recent work (2023-2025) focusing on machine learning applications in hydrology, advanced statistical inversion techniques, and complex karst system modeling. Key trends include integration of physics-based and data-driven approaches, improved uncertainty quantification methods, and applications to climate change impacts on water resources. His work bridges theoretical advances with practical applications in New Zealand's braided rivers and European hydrological systems. STAHY Best Paper Award (2018) ASCE Journal of Irrigation and Drainage Engineering Best Reviewer Awards (2008, 2010, 2011, 2015, 2018) ASCE Journal of Irrigation and Drainage Engineering Best Paper Awards (2008, 2009) Dr. Wöhling leads the Stochastic Modelling of Hydrosystems team and has secured funding for numerous projects including Klimakonform, ISOSIM, VAMOS II, and the International Research Training Group 'Integrated Hydrosystem Modelling.' His work combines novel monitoring techniques with modeling and optimal sensor placement to improve prediction reliability for river-groundwater exchange fluxes. He collaborates extensively with international partners, particularly in New Zealand through the Lincoln Agritech's Braided Rivers program. His laboratory work focuses on combining traditional hydrological measurements with advanced computational techniques, including deep learning applications for soil surface hydrology and time-windowed Bayesian analysis for predictive modeling. The team maintains strong connections with field sites in Germany's Saxon region and New Zealand's Canterbury Plains, facilitating integrated theoretical and empirical research approaches.

Yeo Howe Limمشاهده پروفایل

استاد

• Water Resources Engineering
• Hydrologic Modeling
• Open Channel Hydraulics
• +۵ مورد دیگر

Dr. Yeo Howe Lim is a Professor and Department Chair of Civil Engineering at the University of North Dakota, with a focus on water resources engineering. He serves as Graduate Program Director for Civil and Environmental Engineering, teaching courses in fluid mechanics, hydrology, and applied hydraulics. Education: BEng & MEng from University of Canterbury, PhD from Memorial University of Newfoundland Research Areas: Open channel hydraulics, flood frequency analysis, streambank stabilization, urban stream revitalization, cold region hydrodynamics His research explores climate change impacts on flood patterns, hydrodynamic modeling of wetlands, and innovative use of Unmanned Surface Vehicles for aquatic studies. Recent publications emphasize lithium extraction technologies in oilfields, distributed Muskingum flood routing models, and optimization algorithms for cold climate water systems. Scientific awards include the Dean’s Outstanding Faculty Award (2013), ASCE Outstanding Reviewer recognition (2009), and the Institution of Civil Engineers (UK) Overseas Prize (2001). He has supervised numerous graduate students in hydrological modeling, including Mohammed Almousa and Vahid Atashi. Current projects involve HYCAT technology for bridge scour assessment, LiDAR bathymetry modeling, and climate change adaptation tools for cold region water management. His work bridges computational hydrology, hydraulic structure design, and sustainable water resource solutions.

• Hydrology
• Geomorphology
• Tectonics
• +۳ مورد دیگر

Josh West is a Professor in the Department of Earth Sciences at the University of Southern California (USC), affiliated with the USC Environmental Studies Program. His research focuses on the interplay between Earth's landscapes, water resources, and the carbon cycle, particularly in mountainous regions. He explores how tectonics, climate, and erosion shape topography, influence sediment and nutrient fluxes, and impact global biogeochemical cycles. Notable areas of study include Himalayan erosion dynamics, permafrost thaw effects, and the role of landslides in carbon cycle feedbacks. West leads a research group emphasizing equity and inclusion, mentoring undergraduate and graduate students. His work integrates field observations, geochemical analyses, and modeling to address questions about Earth's long-term habitability and environmental sustainability. Key contributions include studies on the 2021 Melamchi Flood, mercury mobilization in Arctic regions, and lithium isotope tracers for weathering processes.

• Groundwater Management
• Water Security
• Ecohydrology
• +۶ مورد دیگر

Steven M. Gorelick is the Cyrus F. Tolman Professor in the Department of Earth System Science at Stanford University and a Senior Fellow at the Woods Institute for the Environment . He has been on Stanford’s faculty since 1988 and currently directs the Global Freshwater Initiative , focusing on water resources vulnerability in India, Mexico, Vietnam, Jordan, and the US. His work integrates groundwater management, ecohydrology, and policy analysis. PhD, Stanford University (1981) in Hydrology (Hydrogeology) MS, Stanford University (1977) in Hydrology (Hydrogeology) BA, New College (1975) Research Interests span coupled human-natural systems modeling for water security, with focus on climate, land-use, and demographic changes affecting urban and agricultural regions. He develops tools for sustainable water management in stressed areas and investigates contaminant transport, aquifer geophysics, and global oil supply dynamics. His Global Freshwater Initiative addresses drought impacts through policy simulations involving taxes, quotas, and water markets. Publication Trends reveal expertise in transboundary water conflicts, arsenic contamination mechanisms, climate-water-food-energy nexus analysis, and ecohydrologic modeling. His work combines field observations with computational models to explore groundwater-surface water interactions, contaminant mobilization, and policy-driven resource allocation. Scientific Awards include: US National Academy of Engineering (2012) AAAS Fellow (2016) Guggenheim Fellow (2005) AGU Fellow (1990) James B. Macelwane Medal (1990) Excellence in Teaching Award (2018) Advising includes serving as Doctoral Dissertation Advisor for Ankun Wang and Reader for Brian Rogers, and mentoring postdoctoral fellows Zhi Li and Qing Yang. He leads the Stanford Center for Aquifer Simulation and has held visiting positions at ETH Zurich, University of Cambridge, and CSIRO.

Richelle Allen-Kingمشاهده پروفایل

استاد

• Contaminant Transport in Groundwater
• Hydrogeochemistry
• Organic Contaminants
• +۵ مورد دیگر

Richelle Allen-King serves as Professor and Director of Graduate Studies in the Department of Earth Sciences within the College of Arts and Sciences at the University at Buffalo. Her academic career centers on hydrogeochemistry and environmental geochemistry, with specialized expertise in contaminant transport processes in groundwater systems. Her educational background includes: PhD in Earth Sciences (Hydrogeology) from the University of Waterloo (1991) Dr. Allen-King's research focuses on understanding the fate and transport of contaminants in groundwater , particularly organic pollutants like chlorinated solvents and nutrients. She integrates field measurements, laboratory experiments, and numerical modeling to investigate critical processes including sorption, diffusion, and biotic/abiotic degradation in heterogeneous aquifers. Her work addresses fundamental limitations in predicting natural attenuation and designing effective remediation strategies for contaminated sites, with significant contributions to understanding nonlinear sorption in low-organic-carbon sediments and aquifer heterogeneity effects. Analysis of her publication record reveals three dominant research trajectories: (1) Advanced characterization of chlorinated solvent behavior in sedimentary rock aquifers , particularly diffusion and degradation processes in low-permeability media; (2) Investigation of nutrient transport dynamics in watersheds with applications to Lake Erie eutrophication; and (3) Development of educational frameworks for early-career geoscientists. Her recent work increasingly incorporates high-fidelity modeling of heterogeneous systems and field validation at research sites like the Borden Aquifer. Her research is supported by major external funding including: SERDP Project ER-2533: Developing field methods for quantifying chlorinated solvent diffusion and degradation in low-permeability media NSF IGERT ERIE grant: Fostering interdisciplinary training in ecosystem restoration Dr. Allen-King has mentored 14 graduate students to completion, with alumni now working as hydrogeologists at firms including Geosyntec Consultants, Leggette Brashears & Graham, and Intera Inc. She teaches advanced courses in environmental geochemistry and supervises thesis research focused on contaminant hydrology. Her laboratory investigations frequently involve collaborative field work at the Borden Aquifer research site in Ontario, Canada, where she examines lithofacies controls on contaminant transport properties.

• Machine Learning
• Time Series Analysis
• Space Weather Prediction
• +۴ مورد دیگر

Soukaina Filali Boubrahimi serves as an Assistant Professor in the Computer Science Department within the College of Engineering at Utah State University. Her academic appointment is based in the SER 332 building located at 4205 Old Main Hill, Logan, UT 84322-0001. She maintains a research-active position with a focus on computational methods for complex temporal data analysis. Dr. Filali Boubrahimi's research program centers on time series analysis , machine learning , and space weather prediction , with particular emphasis on solar flare forecasting and counterfactual explanation systems. Her work bridges theoretical machine learning advancements with practical applications in heliophysics, hydrology, and social media analysis. The research portfolio demonstrates significant expertise in handling imbalanced temporal datasets, developing novel data augmentation techniques, and creating interpretable AI systems for critical prediction tasks. Analysis of her recent publication trajectory reveals consistent contributions to counterfactual explanation frameworks for time series data (Info-CELS, M-cels, ACTS), space weather prediction systems (solar flare and energetic particle event forecasting), and generative modeling approaches (AVATAR, ChronoGAN). Her work frequently addresses the challenges of severely imbalanced datasets through contrastive learning and sophisticated preprocessing techniques, demonstrating methodological innovation in handling rare but critical space weather events. While no specific awards are documented in the available information, her research program appears substantial based on the volume and quality of recent publications spanning multiple high-impact domains. The research demonstrates strong interdisciplinary connections between computer science, space physics, and environmental science. Her laboratory activities focus on developing machine learning frameworks for temporal data analysis, with particular attention to space weather prediction systems. The research group appears to specialize in creating robust models for rare event prediction, explainable AI systems for time series classification, and novel data augmentation techniques for imbalanced temporal datasets. Current projects likely include the development of multimodal fusion approaches for solar energetic particle prediction and spatio-temporal modeling for hydrological applications.

Raul Woodمشاهده پروفایل

پژوهشگر ارشد

• Hydrology
• Climate Change Impacts
• Extreme Weather Events
• +۳ مورد دیگر

Raul Wood is a Research Fellow at the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), specifically within the Institute for Snow and Avalanche Research (SLF) in Davos. He operates in the Snow and Atmosphere Unit under the Hydrology & Climate Impacts in Mountain Regions Group, focusing on climate-hydrology interactions in alpine environments. His research centers on extreme hydroclimatic events, with emphasis on precipitation extremes, flood/drought dynamics, and climate change impacts in mountainous regions. Wood employs global climate model ensembles and hydrological modeling to dissect internal variability versus forced responses, particularly across European and Alpine domains. His work bridges theoretical climate science with practical water resource management challenges. Analysis of Wood's publication record reveals consistent focus on multi-scale extreme event analysis, compound hazards, and ensemble-based uncertainty quantification. His recent work increasingly addresses societal impacts through urban flood resilience and population exposure metrics, while maintaining technical rigor in statistical downscaling and hydrological modeling. Wood actively contributes to three major research initiatives: SynFire (synchronous forest fires in Europe), Hydro-SMILE (hydrological ensemble for Swiss droughts/floods), and upXdown (upstream-downstream drought cascades in the Alps). These projects demonstrate his commitment to solving complex climate-water challenges through collaborative, interdisciplinary approaches with European partners.

• Hydrogeology
• Groundwater
• Stochastic Modelling
• +۱۶ مورد دیگر

Dr. Alraune Zech is an Assistant Professor for Computational Environmental Hydrogeology at Utrecht University, Faculty of Geosciences, Department of Earth Sciences, Hydrogeology group. Her research focuses on groundwater flow and transport processes in heterogeneous environments, with emphasis on practical applications in contaminated aquifers, PFAS remediation, and construction-related groundwater issues. She is affiliated with the Helmholtz-Centre for Environmental Research and serves as convener for EGU sessions on contaminant transport. Dr. Zech's educational background includes: PhD in Computational Hydrosystems from Friedrich-Schiller-University Jena and Helmholtz-Centre for Environmental Research (2010-2013) Prediploma Degree in Business Mathematics from University Leipzig (2011) Diploma in Mathematics with minor in Chemistry from University Leipzig (2003-2009) Her research interests span hydrogeology, groundwater modeling, and environmental remediation. She specializes in stochastic and computational modeling of subsurface processes, with focus on contaminated aquifers, PFAS removal strategies, biodegradation, bioremediation, and heat transport in the subsurface. Her work bridges theoretical approaches with practical applications in construction engineering and environmental protection. Analysis of Dr. Zech's recent publications (2021-2025) reveals strong focus on advancing hydrogeological modeling techniques, particularly in aquifer heterogeneity characterization, machine learning applications in hydrogeology, and practical remediation strategies. Her work spans fundamental research on pore-scale processes to field-scale applications, with increasing integration of artificial intelligence methods for solving complex groundwater problems. Dr. Zech leads several significant research projects: Living Lab PFAS Remediation (2024-2028): Developing strategies for PFAS contamination SilPit (2024-2028): Studying erosion of silicate grouting in construction pits MIBIREM (2022-2027): Creating innovative technological toolbox for bioremediation She actively supervises multiple PhD students including Alexandra Hockin, Kim Bartsch, Mahammad Valibeknejad, Sona Aseyednezad, Hannah Gebhardt, and Martijn van Leer. Her research is supported by funding from the Ministry of Infrastructure and Water Management, NWO, and EU Horizon programs.

AYTAÇ GÜVENمشاهده پروفایل

استاد

• Fluid Mechanics
• Numerical Modeling
• Hydrology
• +۷ مورد دیگر

Professor AYTAÇ GÜVEN is a faculty member at Gaziantep University's College of Engineering, Department of Civil Engineering, specializing in Fluid Mechanics and Numerical Modeling . With a PhD from Gaziantep University (2008), he progressed from Research Assistant (2001-2008) to Professor (2017). His research focuses on Hydrology , Climate Change Impact on water resources, Dam Safety , and Hydropower Assessment using Genetic Programming and Neural Networks . He served as Department Head (2020-present) and Vice Head (2009-2014). Education: PhD (Civil Engineering, Gaziantep University, 2008) MS (Civil Engineering, Gaziantep University, 2005) BS (Civil Engineering, Gaziantep University, 2000) His research interests span: Climate change adaptation in water resources Advanced numerical modeling for hydraulic structures Hydropower potential assessments Scour and sediment yield prediction Machine learning applications in hydrology Dam failure risk analysis His 57 peer-reviewed publications (including 2 books) emphasize hybrid modeling techniques, with recent work on CMIP6 climate scenarios , steppe spillways , and dam safety tools . He has advised 5 PhD and 21 Master's theses. Scientific awards include: 2024 Stanford Career Impact Award 2018 Best PhD Thesis (Baraj Güvenliği Derneği) 2016 Gaziantep University Science Award 2010 Best Master's Thesis (Baraj Güvenliği Derneği) 2018 Best Presentation (International Academic Association)

Anthony J. Parolariمشاهده پروفایل

دانشیار

• Watershed Hydrology
• Urban Hydrology
• Ecohydrology
• +۴ مورد دیگر

Dr. Anthony J. Parolari is an Associate Professor in the Department of Civil, Construction and Environmental Engineering at Marquette University. He holds a Ph.D. in Civil and Environmental Engineering from MIT (2012) and has previously taught courses in engineering computing, urban hydrology, and ecohydrology. Education: Ph.D., 2012, Civil and Environmental Engineering, Massachusetts Institute of Technology M.S.E., 2005, Environmental Engineering, University of Michigan B.S.E., 2004, Civil Engineering, University of Michigan His research focuses on the interactions between hydrology and ecosystems, particularly in urban and engineered environments. Key areas include watershed hydrology, ecohydrology, stormwater management, nutrient cycling, and climate change impacts on urban water systems. He develops quantitative models to link hydrologic variability to ecosystem processes, aiming to improve urban water infrastructure design and real-time control technologies. Analysis of his recent publications reveals trends in machine learning for flood prediction, nutrient management in green infrastructure, and ecohydrological responses to climate variability. His work often integrates experimental data with theoretical models to address water quality and quantity challenges. Dr. Parolari leads grants from the National Science Foundation (NSF), Minnesota Department of Transportation (MnDOT), and Milwaukee Metropolitan Sewerage District (MMSD), focusing on sustainable stormwater solutions and real-time control systems. He collaborates with institutions like MIT, University of Michigan, and Duke University on research initiatives. His team at Marquette’s Water Quality Center investigates soil biogeochemistry in engineered ecosystems, leveraging field studies and simulations to optimize stormwater wetlands and green roofs.

Claudia Teutschbeinمشاهده پروفایل

دانشیار

• Hydrology
• Climate Change Impacts
• Hydrological Modeling
• +۶ مورد دیگر

Claudia Teutschbein is a Senior Lecturer/Associate Professor in Hydrology at Uppsala University's Department of Earth Sciences, where she leads research in the Program for Air, Water and Landscape Sciences. She also serves as a researcher at Uppsala University's Conflicting Objectives Research Nexus (UUniCORN). With over 15 years of teaching and research experience, she has established herself as a leading expert in hydrological processes in changing climates. Her educational background includes: 2022: Docent in Hydrology, Uppsala University 2013: Ph.D. in Physical Geography, Stockholm University, Sweden 2010: Ph.Lic. in Physical Geography, Stockholm University, Sweden 2008: M.Sc. in Soil Science, SLU Uppsala, Sweden 2006: B.Sc. in Water Management, TU Dresden, Germany Dr. Teutschbein's research spans interdisciplinary hydrology with a focus on understanding hydrological processes in changing climates and their connections to meteorological, topographic, and anthropogenic drivers. Her work addresses critical issues of water quantity (including floods and droughts) and water quality across various spatial and temporal scales, with attention to socio-economic consequences. She employs advanced hydrological modeling techniques to assess climate change impacts and develops solutions for sustainable water resource management. Her recent publications demonstrate a strong focus on drought risk assessment, water-energy-food-ecosystem nexus approaches, and hydroclimatic modeling in Nordic and global contexts. She has made significant contributions to understanding drought propagation in high-latitude catchments, stakeholder perceptions of drought hazards, and the integration of data-driven approaches in nexus modeling. Her CAMELS-SE dataset has become an important resource for hydrological research and education across Sweden. Dr. Teutschbein leads and contributes to numerous research projects addressing critical water challenges: 2025-2028: REACTION: Navigating the Risks of Hydroclimatic Extremes for Freshwater Ecosystem Services in Forest Landscapes (PI) 2023-2026: PredPeat: Predicting the effects of peatland rewetting on water retention and water quality (co-applicant, WP-lead) 2022-2026: SWEFE-NEXT: the Swedish Water-Energy-Food-Ecosystem Nexus and its response to hydroclimatic EXTreme events (PI) 2021-2025: NEXOGENESIS: Facilitating the next generation of water-related policies using AI and reinforcement learning (co-applicant, WP lead) 2019-2023: Impacts of recent El-Niño Southern Oscillation (ENSO) on the Water-Food-Energy Nexus in South Asia (PI) Her research bridges academic inquiry with practical applications for sustainable water management, with particular emphasis on climate change adaptation strategies and integrated resource management approaches.

Ilaria PROSDOCIMIمشاهده پروفایل

دانشیار

• Extreme Value Statistics
• Generalized Additive Models
• Hydrological Applications
• +۳ مورد دیگر

Ilaria Prosdocimi is an Associate Professor in the Department of Environmental Sciences, Computer Science and Statistics at Ca' Foscari University of Venice. She holds a PhD in Statistics from KU Leuven and has expertise in extreme value statistics and generalized additive models applied to environmental and hydrological problems. Her teaching spans courses in Data Analytics, Predictive Analysis, and Statistical Models across undergraduate and graduate programs, including the Science and Management of Climate Change and Environmental Sciences. Her research focuses on extreme value theory in hydrology, with a particular interest in flood frequency analysis, rainfall extremes, and climate change impacts. She has contributed to projects like RISE (Rethinking and Innovating Statistics for Extremes), funded by MIUR, and serves on editorial boards for journals like Hydrological Sciences Journal and Advances in Water Resources . Prosdocimi’s recent work analyzes air quality policies in Venice, trends in hydrological extremes across Europe, and the statistical attribution of environmental changes. She collaborates internationally, including with UK institutions, and has published extensively on methodologies for coherent estimation of rainfall and flood risks. Grants & Projects RISE: Rethinking and Innovating Statistics for Extremes (MIUR-PRIN, 2023–2026) Labs/Teams Active in the Environmental Statistics research group at Ca' Foscari, collaborating with Isadora Antoniano Villalobos and international hydrological networks.

• Floods
• Hydrometeorology
• Radar and Satellite Remote Sensing
• +۱ مورد دیگر

Witold Krajewski is a Professor of Civil and Environmental Engineering at the University of Iowa and serves as Director of the Iowa Flood Center and Research Engineer at IIHR —Hydroscience & Engineering. He was elected to the National Academy of Engineering (NAE), a testament to his significant contributions to flood forecasting and hydrometeorology. Education: Ph.D. in Water Resources Systems, Warsaw University of Technology, Poland M.S. in Environmental Engineering, Warsaw University of Technology, Poland Krajewski’s research focuses on flood modeling, hydrometeorology, radar/satellite remote sensing, and water resources systems. His work integrates advanced hydrological modeling with real-time data for improved flood prediction and mitigation strategies. His recent publications address critical challenges in flood forecasting, including radar-rainfall uncertainty quantification, ensemble data assimilation for streamflow predictions, and the application of machine learning for super-resolution flood inundation mapping. These studies emphasize cross-scale analysis, operational forecasting frameworks, and satellite data validation. Scientific Awards National Academy of Engineering (NAE) election Krajewski leads the Iowa Flood Center, where he develops cyberinfrastructure for real-time hydrological monitoring and collaborates on projects involving the National Water Model (NWM). His work bridges cutting-edge research with practical flood management solutions.

Jeannine-Marie St-Jacquesمشاهده پروفایل

دانشیار

• Paleoclimatology
• Hydrology
• Climate Variability
• +۵ مورد دیگر

Jeannine-Marie St-Jacques is an Associate Professor in the Department of Geography, Planning and Environment at Concordia University, where she has been employed since 2017. Her research focuses on reconstructing historical climate patterns to understand contemporary environmental challenges. Education: MA Mathematics, University of California, Berkeley MSc Botany, University of Toronto PhD Biology (Environmental Science), Queen's University Research Focus: Dr. St-Jacques specializes in North American freshwater systems, climate variability, and paleoenvironmental reconstruction using tree-rings, pollen, and instrumental data. Her work examines decadal-to-centennial water patterns, impacts of global warming on regional hydrology, and sustainable water management strategies for extreme events. Current projects include paleo-flood reconstructions and indigenous environmental histories. Publication Trends: Her 15 most recent articles (2018-2025) demonstrate strong focus on hydrological reconstructions using dendrochronological methods, climate model validation through paleodata, and multi-proxy analyses of Holocene environmental change. Collaborative works frequently address climate impacts on river systems and long-term fire/vegetation dynamics. Student Advising: Actively supervises 7 graduate students (5 PhD, 2 MSc) researching tree-ring climatology, paleotempestology, and indigenous environmental history. Has graduated 5 MSc students since 2018. Funding & Collaborations: Research supported by NSERC grants. Collaborates with researchers across Canadian institutions (UQAR, Bishop's University, UNB) and international teams in paleoclimatology, hydrology, and climate modeling.