جست‌وجوی استاد و پژوهشگر

Shineng Huمشاهده پروفایل

استادیار

• Climate Dynamics
• Ocean-Atmosphere Interactions
• El Niño
• +۳ مورد دیگر

Shineng Hu is an Assistant Professor in the Department of Civil and Environmental Engineering at Duke University's Nicholas School of the Environment . Holding a Ph.D. from Yale University (2018) and a B.S. from Peking University (2012), he leads the Hu Climate Dynamics Lab , combining observations, theory, and climate modeling to study ocean-atmosphere interactions across timescales. Research Focus: El Niño dynamics, global warming patterns, paleoclimate studies, and ocean heat transport mechanisms Teaching: Courses on climate dynamics, ocean-atmosphere interactions, and climate science data analysis Collaborations: Active in international climate research networks Recent work examines ENSO dynamics, marine heatwaves, and elevation-dependent warming mechanisms. The lab investigates historical climate patterns and develops interpretable climate models, with emphasis on ocean circulation's role in climate change. Publications span high-impact journals including Nature Climate Change , Geophysical Research Letters , and Climate Dynamics , covering topics from satellite-based atmospheric river detection to climate impacts of the North Atlantic warming hole. Career highlights include contributions to understanding the 2015-2016 extreme El Niño event and the global warming hiatus phenomenon. Current projects involve deep-time climate analysis and climate model development.

Mojtaba Sadeghمشاهده پروفایل

دانشیار

• Water Resources Management
• Hydrology
• Climate Change Impacts
• +۴ مورد دیگر

Mojtaba Sadegh serves as Associate Professor in the Department of Civil Engineering within Boise State University's College of Engineering, maintaining an active research program from his office in ERB 4147 (contact: (208) 426-3774, mojtabasadegh@boisestate.edu). His academic profile bridges hydrological systems analysis with emerging climate-driven fire dynamics, reflecting institutional alignment with environmental engineering priorities. Dr. Sadegh's research portfolio demonstrates methodological versatility across water resources management, statistical hydrology, and climate change impacts. Initial work applied game theory to water transfer conflicts in politically contested basins, while recent efforts examine non-stationarity in hydrological systems, flow duration curve modeling, and drought prediction frameworks. His current focus centers on water-energy-food (WEF) nexus modeling, food waste impacts on resource security, and hydroclimate extremes affecting human health. This evolution is mirrored in his publication trajectory, which increasingly integrates machine learning with physical environmental processes. Analysis of his 15 most recent publications (2025) reveals three dominant research streams: wildfire science (70% of output), machine learning applications in environmental systems (20%), and socio-ecological vulnerability (10%). The wildfire studies emphasize predictive modeling of fire spread, fuel treatment efficacy, and human exposure patterns, while machine learning work features novel architectures like Kolmogorov-Arnold networks for flood mapping and bias correction in seasonal forecasts. A consistent thread examines disproportionate impacts on vulnerable populations, particularly regarding fire exposure and water stress. Dr. Sadegh actively mentors graduate students through his NSF S-STEM grant (BOARD# 450), specifically addressing barriers for low-income, first-generation, and rural STEM graduate students. His research receives external funding focused on climate adaptation and resource security, though specific grant mechanisms beyond S-STEM remain undocumented in available materials. The absence of laboratory or team descriptions suggests primarily computational and theoretical research approaches.

Francisco Muñoz-Arriolaمشاهده پروفایل

استاد

• Hydroinformatics
• Integrated Hydrology
• Climate Analytics
• +۵ مورد دیگر

Francisco Muñoz-Arriola is a Professor in Hydroinformatics and Integrated Hydroclimate at the Department of Biological Systems Engineering and the School of Natural Resources at the University of Nebraska-Lincoln. His work bridges diagnostics and prognostics of extreme hydrometeorological events with their impacts on water, agriculture, and ecosystems. Ph.D., Civil and Environmental Engineering, Duke University M.S. and B.S. in Coastal Oceanography and Oceanography, Universidad Autónoma de Baja California His research focuses on: Climate-resilient water infrastructure design Integrated hydrology (water quality, quantity, ecosystem resilience) Remote and proximal sensing applications Coupled natural-human systems Data science for climate extremes and sustainability The 15 most recent publications highlight interdisciplinary trends in maize yield predictability via genetic-by-environment frameworks, streamflow-sediment dynamics under dam regulation, and AI-driven plant phenotyping. Keywords span Agriculture , Climate Science , Remote Sensing , and Complex Systems . Scientific awards include: NSF Interdisciplinary Methods for Disaster Research Fellow (2015–2016) University of Nebraska-Lincoln Inclusion and Diversity Faculty Fellow (2018–present) Daugherty Water for Food Institute Faculty Fellow (since 2014) Multiple teaching and research recognition awards (2013–2023) He has secured over $5 million in grants, including projects with USDA, NSF, NASA, and USGS, focusing on irrigation sustainability, OpenET satellite data adoption, and Indigenous community engagement in climate resilience. His lab develops tools like CLIM4OMICS and CoSegPP for data integration and plant phenotyping analytics.

• Hydrology
• Climate Change Impacts
• Water Resources Management
• +۳ مورد دیگر

Zhenxing Zhang is an Associate Research Scientist at the Illinois State Water Survey and a Research Affiliate in the Civil and Environmental Engineering Department at the University of Illinois Urbana-Champaign. Their work focuses on hydrology, water resources sustainability, and climate change impacts, with a particular emphasis on drought-flood transitions, optimization algorithms for environmental modeling, and the water-energy-carbon nexus. Primary Affiliation: Illinois State Water Survey (Research Scientist) Secondary Affiliation: Civil and Environmental Engineering Department Research Interests span interdisciplinary domains including: Hydrology : Streamflow dynamics, flood risk analysis, low streamflow statistics, and hydrological modeling frameworks. Climate-Environment Interactions : Climate change impacts on water resources, drought-heatwave synergies, and flash drought mechanisms. Computational Methods : Development and application of novel bio-inspired optimization algorithms (e.g., Electric Eel Foraging Optimization, Tianji's Horse Racing Optimization) to solve engineering problems. Publication Trends reveal a focus on integrating machine learning with traditional hydrological models (e.g., deep learning for rainfall prediction), quantifying water quality risks during compound climate events, and creating new optimization techniques with engineering applications. Their work frequently combines multi-criteria analysis with stakeholder engagement for water supply planning in Illinois and China. Key Collaborations involve institutions in Illinois and China, with frequent co-authorship on topics like: Water resource carrying capacity Drought-flood abrupt alternations Membrane bioreactor (MBR) applications Carbon capture water supply risks Zhang contributes to comprehensive hydrologic modeling frameworks that assess long-term water sustainability under changing climatic and demand conditions, particularly in the Illinois River Basin and Yangtze River region .

Gideon Hendersonمشاهده پروفایل

استاد

• Isotope Geochemistry
• Paleoclimatology
• Climate Change Studies
• +۳ مورد دیگر

Gideon Henderson is a Professor of Earth Sciences at University College. He currently works part-time (80%) as Chief Scientific Advisor and Director General for Science and Analysis at the UK Government Department (Defra). His research focuses on using isotopic and geochemical proxies to reconstruct past environmental conditions, including climate variability, ocean chemistry changes, and human-environment interactions. Key areas include speleothem studies, trace metal cycling in oceans, and carbon sequestration via enhanced rock weathering. Education details are not explicitly provided in the text. His work spans multiple disciplines, integrating field data with numerical modeling through tools like the CaveCalc speleothem chemistry model and contributions to the 230Th global database. He has collaborated on large-scale oceanographic programs such as GEOTRACES, studying processes like riverine inputs, hydrothermal vent effects, and anthropogenic radionuclide sources in the Baltic Sea. Research interests emphasize isotopic tracers for paleoenvironmental reconstructions, particularly in arid and permafrost regions. He investigates how climate changes impact ecosystems and human societies, as seen in his studies of Maya civilization collapse linked to droughts and mid-Holocene Sahara rainfall dynamics. His recent work explores CO2 removal potential in UK agricultural soils and the role of tropical plumes in climate systems. No scientific awards are mentioned in the provided texts. His advisory roles include guiding Defra's environmental policies while maintaining academic engagement through collaborative research projects and laboratory-based experiments on mineral dissolution in soils.

John Mejiaمشاهده پروفایل

استاد پژوهشی

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

Dr. John Mejia is an Associate Research Professor in Climatology at the Desert Research Institute (DRI) and the University of Nevada, Reno, specializing in atmospheric modeling and climate dynamics. He leads research on regional climate modeling frameworks for the Western U.S., focusing on weather and climate prediction, uncertainty quantification, and climate change impacts. His work integrates advanced atmospheric models like WRF and CESM to study hydroclimate, mesoscale convection, and urban heat islands. Education: PhD in Meteorology/Regional Climate Modeling from the University of Oklahoma (2008), MSc in Water Resources Management from National University of Colombia (2002), and BSc in Civil Engineering/Hydrology from National University of Colombia (1999). Research interests include atmospheric dynamics, moisture surges during the North American Monsoon, and improving climate models for policy-relevant applications. He teaches courses in Climate Modeling, Atmospheric Turbulence, and Mesoscale Modeling at the University of Nevada's graduate program. Key achievements include the 2014 Peter B. Wagner Medal for applying atmospheric models to policy development, a NASA Group Achievement Award (2008), and recognition for academic excellence at the University of Oklahoma. His research has been published in high-impact journals such as Journal of Geophysical Research and International Journal of Climatology . Dr. Mejia's grants and advising focus on climate adaptation, aerosol impacts on precipitation, and urban climate studies. He collaborates with NSF EPSCoR to broaden STEM participation and mentors students in climate modeling and atmospheric science.

Peter Hitchcockمشاهده پروفایل

استادیار

• Atmospheric Dynamics
• Climate Science
• Stratospheric Dynamics
• +۵ مورد دیگر

Peter Hitchcock is an Assistant Professor in Earth and Atmospheric Sciences at Cornell University’s College of Agriculture and Life Sciences. His research focuses on stratospheric dynamics, particularly the influence of the stratosphere on global climate and weather extremes. He develops and applies dynamical models to study stratospheric-tropospheric coupling, with an emphasis on subseasonal predictability and climate change impacts. Education: Ph.D. (Physics) from University of Toronto (2012), M.Sc. (Physics) and B.A.&Sc. (Liberal Arts with Mathematics minor) from McMaster University (2006 and 2004). Research Interests: Stratospheric circulation and variability Climate predictability and weather extremes QBO dynamics and sudden stratospheric warmings Subseasonal forecasting techniques Teaching: EAS 3420/5420 Atmospheric Dynamics, EAS 6520 Advanced Atmospheric Dynamics, and co-developed a Jupyter Notebook-based synoptic meteorology course. Scientific Contributions: His work advances understanding of stratospheric-tropospheric interactions, with recent projects like the SNAPSI initiative addressing subseasonal prediction improvements. Key findings include the role of stratospheric disturbances in amplifying extreme weather events. Awards: 2009 Walter C. Sumner Memorial Fellowship from the Walter C. Sumner Foundation. Lab & Outreach: Leads the Hitchcock Research Group and contributes to initiatives like IDEEAS for promoting equity in geosciences. Active in communicating climate research through media and educational outreach.

Nicola Maherمشاهده پروفایل

پژوهشگر ارشد

• Climate Modeling
• Climate Variability
• ENSO Dynamics
• +۵ مورد دیگر

Dr. Nicola Maher is a Research/DECRA Fellow at the Australian National University (ANU), affiliated with the Research School of Earth Sciences (RSES) and the Climate and Fluid Physics department. She holds a PhD from UNSW (2016) and is a Chief Investigator for the ARC Centre of Excellence for Climate Extremes and the ARC Centre of Excellence for Weather of the 21st Century. Her research focuses on climate variability using global coupled models, machine learning techniques, and large ensemble analyses to study ENSO dynamics, climate projections, and extreme events. She teaches climate modeling courses (EMSC3039 and ENVS8003) and has advised students Ming Cheng and Jemma Jeffree. Her work explores topics like Pacific decadal variability, forced vs unforced climate responses, and model ensemble design. Dr. Maher contributes to international collaborations and has published over 30 peer-reviewed articles in journals such as Nature Climate Change, Earth System Dynamics, and Geophysical Research Letters. Her research interests include Single Model Initial-Condition Large Ensemble (SMILE) modeling, machine learning applications for climate classification, and understanding future climate extremes. Key projects involve analyzing ENSO teleconnections, partitioning climate projection uncertainties, and improving dynamic sea-level projections. She co-leads efforts to develop tools like the Climate Variability Diagnostics Package and participates in large ensemble initiatives such as the MPI Grand Ensemble. Her work bridges computational climate science with real-world impacts, addressing critical questions about climate change's regional and global implications.

Toby Aultمشاهده پروفایل

دانشیار

• Climate Change
• Climate Dynamics
• Meteorology
• +۵ مورد دیگر

Toby Ault is an Associate Professor and Director of Graduate Studies in Atmospheric Sciences at Cornell University's College of Agriculture and Life Sciences (CALS). His research focuses on climate risks, including prolonged drought under climate change, seasonal dynamics (especially spring onset), and tropical Pacific variability's influence on global climate. He holds a PhD from the University of Arizona (2011) and conducted postdoctoral work at the National Center for Atmospheric Research (NCAR, 2011–2013). Ault's interdisciplinary approach integrates observational data, numerical modeling, and statistical analysis, collaborating with climatologists, geographers, and ecologists. Key research areas include megadrought risk in the American Southwest, energy-climate interactions, and the impact of anthropogenic change on hydroclimate. His work has been featured in journals like Science Advances and Physics Today , with notable publications addressing drought attribution, spring phenology forecasting, and model biases. Ault leads the Emerging Climate Risk Lab (ECRL) and has secured grants including an NSF CAREER Award (2018). He teaches courses on climate dynamics, energy-climate systems, and internship experiences. Awards include the 2019 Faculty Fellow in Community Engaged Learning. Recent projects include partnerships with industry to assess drought risk and collaborations on offshore wind energy modeling. His research underscores the urgency of understanding climate extremes and informing policy through predictive frameworks.

Andrew Gronewoldمشاهده پروفایل

دانشیار

• Hydrological Modeling
• Climate Change Impacts
• Water Resources Management
• +۳ مورد دیگر

Andrew Gronewold is Associate Professor at the University of Michigan's School for Environment and Sustainability, with joint appointments in Civil Engineering and Earth Sciences. His research program advances hydrological prediction systems through integrated modeling of climate impacts on transboundary freshwater resources. Professor Gronewold leads the NSF-funded Global Center for Understanding Climate Change Impacts on Transboundary Waters, coordinating multi-institutional research on climate resilience in vulnerable cross-border communities. His methodological innovations include Bayesian approaches to uncertainty quantification in watershed-scale forecasting and novel integration of satellite data with hydrological models. His extensive publication record demonstrates consistent focus on: (1) Climate-driven hydrological extremes in large lake systems, (2) Advanced modeling techniques for water budget closure, (3) Transboundary water governance frameworks, and (4) Next-generation monitoring through AI and remote sensing. Recent articles establish predictive frameworks for thermal regime shifts and develop decision tools for sustainable water allocation under climate uncertainty. As director of the SEAS Hydro Lab, Gronewold oversees projects examining water balance dynamics in systems ranging from the Great Lakes to arid-region terminal lakes. His team develops cyberinfrastructure for visualizing historical hydroclimate data and assessing long-term trends.

• Climate Change
• Atmospheric Modeling
• Land-Use Change Impacts
• +۳ مورد دیگر

Gonzalo Miguez Macho is a Professor at the Department of Particle Physics within the Faculty of Physics at the University of Santiago de Compostela, Spain. He is affiliated with the Center for Interdisciplinary Research in Environmental Technologies (CRETUS). His research focuses on climate dynamics, land-use change impacts, numerical weather prediction, and hydroclimatic processes. Key contributions include studies on the climatic effects of urbanization in Phoenix, Arizona, and the hydrological sustainability of bioenergy crops in the U.S. His work integrates atmospheric modeling (e.g., WRF, RAMS) with observational data to analyze extreme weather events, wildfire behavior, and groundwater-vegetation interactions. Notable projects address moisture recycling in agricultural regions, soil moisture feedbacks in climate systems, and the role of deep roots in Amazonian ecosystems. Recent studies highlight climate change’s influence on wildfire dynamics and heatwaves in Mediterranean regions. Miguez Macho has co-authored over 50 peer-reviewed articles, including influential papers on spectral nudging techniques, groundwater-atmosphere interactions, and the socio-ecological impacts of landscape changes. Collaborations span institutions like Rutgers University and the National Center for Atmospheric Research (NCAR). His research bridges theoretical climate science with applied environmental challenges, emphasizing interdisciplinary solutions to global environmental issues.

Matthias Boerمشاهده پروفایل

دانشیار

• Landscape Ecology
• Fire Regimes
• Climate Change Impacts
• +۵ مورد دیگر

Matthias Boer is an Associate Professor and Director of the NSW Bushfire and Natural Hazards Research Centre at the Hawkesbury Institute for the Environment (HIE), Western Sydney University. He holds a PhD in Physical Geography (1999) and MSc in Physical Geography and Landscape Ecology (1986) from Utrecht University. His research focuses on fire regimes, climate change impacts on ecosystems, and spatial ecology in fire-prone environments. Affiliations: NSW Bushfire Risk Management Research Hub, Terrestrial Ecosystems Research Network Education: PhD (1999), MSc (1986) from Utrecht University Research interests include fire ecology, hydrology of arid environments, and the interplay between climate change and vegetation dynamics. He has led over 30 grants since 2018, including projects on eucalypt dieback, lightning detection systems, and fire risk prediction. Notable awards include the 2021 Eureka Prize and 2023 Excellence in Research Impact Award. Recent work explores machine learning for fire prediction, carbon dynamics in forests, and the physiological underpinnings of plant resilience. Collaborates extensively with institutions like the NSW Department of Planning and Environment, ARC, and international universities.

Kelly Núñez Ocasioمشاهده پروفایل

استادیار

• Tropical Meteorology
• Climate Science
• Mesoscale Convection
• +۴ مورد دیگر

Dr. Kelly Núñez Ocasio is an Assistant Professor in the Department of Atmospheric Sciences at Texas A&M University. She leads the Tropical Systems Group, focusing on tropical meteorology with emphasis on mesoscale convective systems (MCS), African easterly waves, tropical cyclone genesis, and monsoon dynamics. Her work integrates storm-resolving modeling (WRF, MPAS) with observational analyses to study climate impacts on tropical systems. Education: Ph.D., Meteorology and Atmospheric Science, Penn State University (2021); B.S., Physics, University of Puerto Rico-Mayagüez (2016). Research Interests: - Tropical cyclone formation mechanisms - MCS-AEW interactions - Climate change impacts on tropical weather - African monsoon dynamics - High-resolution model development Publications highlight advancements in MCS tracking algorithms (TAMS), climate modeling applications (pseudo-global warming studies), and field campaign analyses (CPEX-CV). She actively promotes diversity in STEM through publications addressing Hispanic/Latinx representation in atmospheric sciences. Laboratory/Team: Tropical Systems Group at Texas A&M, specializing in multiscale process studies using convection-permitting models. Current opportunities for graduate students/postdocs are available through the ATMO department.

Shraddhanand Shuklaمشاهده پروفایل

پژوهشگر

• Drought Monitoring
• Climate Forecasting
• Remote Sensing
• +۳ مورد دیگر

Shraddhanand Shukla is an Associate Researcher at the Department of Geography, UC Santa Barbara (UCSB), specializing in large-scale hydrology, drought monitoring, and seasonal climate forecasting. He joined the Climate Hazards Center (CHC) in 2014 after serving as a UCAR PACE postdoctoral fellow (2012–2014). He holds a PhD in Civil and Environmental Engineering from the University of Washington, Seattle, and degrees from Indian Institute of Technology (IIT) Kharagpur and Chandra Shekhar Azad University of Agriculture & Technology, Kanpur. His research focuses on advancing drought early warning systems using Earth observations, remote sensing, and hydrological models. He collaborates with NASA and USAID’s SERVIR program, leading the 'Weather and Climate' thematic area. He edits journals like Hydrology and Earth System Sciences and Journal of Hydrometeorology . Shukla’s work emphasizes improving food insecurity early warning in Sub-Saharan Africa and South Asia through integrated monitoring systems. His projects include developing crop yield forecasting tools, enhancing soil moisture monitoring, and evaluating climate model forecasts for agricultural applications.

Bastien Dieppoisمشاهده پروفایل

استادیار

• Climate Change Impacts
• Hydrological Modelling
• Environmental Science
• +۴ مورد دیگر

Bastien Dieppois is an Assistant Professor at Coventry University's Centre for Agroecology, Water and Resilience (CAWR). His research focuses on climate change impacts, hydrological modeling, and environmental predictability, particularly in Africa. He leads UNESCO initiatives like the EURO-FRIEND programme and contributes to UN Sustainable Development Goals related to climate action and water management. Dieppois has published extensively in high-impact journals, with over 88 articles and 877 citations. His work emphasizes decadal climate variability, human-land-water interactions, and multi-model evaluation frameworks. He has secured £7M in grants, supervises PhD students, and collaborates internationally on projects like CC-MADA (Madagascar) and ACTNAO (West Africa). Key research interests include predicting hydro-agroclimatic risks, improving climate model evaluations, and advancing flood/drought management strategies. His awards include the Stanley Jackson Award (2016) for climate science contributions and the 2023 Outstanding Research Supervisory Team honor. Dieppois actively participates in global networks, including the UK National Committee for International Hydrology and UNESCO IHP. His research bridges climate science, hydrology, and policy, addressing urgent challenges like compound climate hazards and sustainable water resources.