جست‌وجوی استاد و پژوهشگر

• Climate Change Impacts
• Mountain Cryosphere
• Glacial Hazards
• +۷ مورد دیگر

Christian Huggel is a Professor in the Department of Geography at the University of Zurich, Faculty of Science. He leads research on climate change impacts, hazards, and adaptation in mountain regions, with a geographic focus on the Andes, Alps, and Himalayas. His work is highly interdisciplinary, integrating natural and social sciences to address socio-environmental risks. Research Interests: His research centers on climate change impacts in high-mountain environments, particularly glacial hazards such as Glacial Lake Outburst Floods (GLOFs), permafrost degradation, and associated risks. He investigates adaptation strategies, risk assessment frameworks, and the integration of scientific knowledge into policy, especially in data-scarce regions. His work often involves modeling of hazard processes, climate extremes, and cascading risks. The recent articles reflect a strong trend toward interdisciplinary and applied research, combining climate science, hazard modeling, AI applications, and policy-relevant risk assessment. Themes include GLOFs, compound extremes, climate adaptation decision-making, and the use of AI in climate communication. His publications appear in high-impact journals such as Science , Nature Sustainability , and Natural Hazards and Earth System Sciences . Scientific Contributions: Lead author and contributor to IPCC Assessment Reports, particularly in mountain systems. Extensive work on early warning systems for GLOFs, especially in the Andes (e.g., Lake 513, Peru). Active in international research networks such as the Mountain Research Initiative (MRI). Editor of key books on high-mountain cryosphere and climate adaptation. Advising and Grants: While specific students are not listed, Huggel has led numerous research projects funded by Swiss and international agencies, often in collaboration with institutions in Peru, India, and Colombia. His work emphasizes co-production of knowledge with local stakeholders and integration of science into adaptation policy. Labs and Teams: He leads the Environment and Climate: Impacts, Risks and Adaptation (EClim) research group at the University of Zurich, which focuses on interdisciplinary climate risk research. The group collaborates globally on projects related to glacier hazards, climate change adaptation, and sustainable mountain development.

• Extreme Weather Attribution
• Climate Change Impact Analysis
• Statistical Modeling
• +۳ مورد دیگر

Clair Barnes is a Research Associate at Imperial College London's Centre for Environmental Policy within the Faculty of Natural Sciences. She contributes to climate change research through her work at the Grantham Institute and the World Weather Attribution initiative since 2022. PhD in Statistical Science from University College London Her research focuses on improving probabilistic attribution methodologies to quantify climate change impacts on extreme weather events. She specializes in multi-model ensemble forecasts and uncertainty quantification within a multivariate Bayes Linear framework. Recent publications analyze extreme weather attribution across diverse regions, including wildfires in Canada, droughts in the Horn of Africa, and heatwaves in Europe. Her work emphasizes the interplay between climate change and natural variability, with methodological advances in spatial climate modeling and data analytics. Clair actively collaborates on climate research tools like xclim and investigates compound hazards from climate extremes. She participates in interdisciplinary initiatives addressing climate impacts on vulnerable communities globally.

Husain Najafiمشاهده پروفایل

پژوهشگر

• Hydrological Forecasting
• Climate Risk Assessment
• Environmental Informatics
• +۳ مورد دیگر

Dr. Husain Najafi is a hydrological forecasting expert at the Department of Computational Hydrosystems within the Helmholtz Centre for Environmental Research (UFZ). He specializes in operational early warning systems for floods and droughts, currently leading national-scale impact-based forecasting platforms in Germany while supporting international initiatives under the WMO's Multi-Hazard Early Warning Systems (MHEWS) framework. Research Highlights Developed FFS4DE (Germany's experimental high-resolution flood forecast system) Created HS2S (Sub-seasonal Soil Moisture Forecast System for drought prediction) Contributed to UNDRR and IPCC aligned climate risk frameworks Active member of the IDMP expert network for drought management Scientific Contributions 2024 Nature Communications paper on 10-meter floodplain inundation modeling Recipient of UFZ Young Scientist Award 2022 for operational drought forecasting Key contributor to ESA 4DHydro project for hyperresolution hydrological modeling

• Climate Change Adaptation
• Flood Risk Management
• Hydrological Modeling
• +۲ مورد دیگر

Ulysse Pasquier serves as a Senior Research Associate at the Tyndall Centre for Climate Change Research, University of East Anglia, specializing in climate adaptation through advanced hydrological and flood risk modeling. His work bridges urban planning, coastal engineering, and climate science to address compound flooding in rapidly developing regions. Research interests focus on Climate Change Adaptation , Flood Risk Management , and Urban Climate Resilience , employing scenario-based modeling to evaluate adaptation strategies for delta cities and coastal zones. Key methodologies include earth system modeling, catchment-scale flood hazard quantification, and urban hydrological impact assessments. Recent publications reveal consistent emphasis on compound flood events across diverse geographies—from Shanghai's delta systems to UK catchments and California's historical floods—with growing integration of urban infrastructure variables like impervious surfaces. His work demonstrates increasing application of high-resolution models (WRF-Hydro, regionally refined earth systems) for localized adaptation planning. Affiliated exclusively with the Tyndall Centre for Climate Change Research, Pasquier operates within this interdisciplinary hub that connects climate science with policy solutions through cross-institutional collaborations evident in his international co-authorship networks.

Erin Coughlan de Perezمشاهده پروفایل

دانشیار

• Climate Risk Management
• Disaster Anticipation
• Climate Change Adaptation
• +۵ مورد دیگر

Dr. Erin Coughlan de Perez is an Associate Professor at Tufts University’s Friedman School of Nutrition Science and Policy, holding the CBF Professor title. She is also a Technical Advisor at the Red Cross Red Crescent Climate Centre. Her research integrates science, policy, and practice to enhance climate risk management, particularly focusing on anticipatory action, disaster anticipation (e.g., droughts, floods, heatwaves), and climate adaptation. She leads global initiatives, including NASA-funded projects on extreme weather and the Center for Climate and Health Global Research on Disasters (CORD). Dr. Coughlan de Perez earned a PhD from VU University Amsterdam, an MA in Climate and Society from Columbia University, and a BSc from McGill University. She co-authored the IPCC 6th Assessment Report and serves on the American Meteorological Society Council. Her work emphasizes forecasting-based financing and humanitarian preparedness, with publications on extreme weather impacts, early action, and climate vulnerability. Her research spans climate adaptation strategies, food systems resilience, and health-related climate risks. Recent articles highlight work on Mozambique’s heat risk, unprecedented weather patterns in the U.S., and drought impacts in Lesotho. She advocates for actionable climate science to reduce disaster impacts through partnerships with international organizations.

Jonas Olssonمشاهده پروفایل

دانشیار

• Hydrology
• Precipitation Analysis
• Climate Modeling
• +۲ مورد دیگر

Jonas Olsson is an Associate Professor and researcher at the Swedish Meteorological and Hydrological Institute's (SMHI) Hydrological Research Unit, with an adjunct professorship at Lund University. His work focuses on hydrological modeling, precipitation analysis, and climate impact studies, contributing significantly to water resource management and flood forecasting in Sweden and beyond. Dr. Olsson's research expertise spans several critical areas of hydrology and climate science: Precipitation analysis and modeling, particularly examining snow-rain transitions and their implications for water resources Hydrological modeling and forecasting systems for improved flood prediction Climate impact assessment using statistical modeling approaches Project management of complex international research initiatives His recent publication record demonstrates a strong focus on compound natural hazards, multi-basin hydrological modeling, and precipitation phase transitions. These works reveal an increasing emphasis on understanding the interactions between different hazard types and improving modeling approaches across multiple spatial scales. His research bridges theoretical hydrology with practical applications for weather warning systems and water management. As an EU project coordinator and work package leader, Dr. Olsson has demonstrated significant leadership in international research collaborations. His role as a faculty opponent further indicates his standing within the academic community. Dr. Olsson maintains an active research program within SMHI's Hydrological Research Unit, which compiles, creates, and communicates knowledge about freshwater to society across different time and spatial scales. His work contributes to the unit's mission of providing scientific basis for water-related decision making in Sweden.

Argelia Lorenceمشاهده پروفایل

استاد

• Plant Metabolic Engineering
• Vitamin C Metabolism
• Plant Stress Tolerance
• +۳ مورد دیگر

Dr. Argelia Lorence is a Professor of Metabolic Engineering at Arkansas State University's Beck College of Sciences & Mathematics, Department of Chemistry and Physics. She holds the Vaughn Endowed Professorship and serves as Director of the A-State Phenomics Facility. Her research focuses on plant metabolic engineering, particularly vitamin C metabolism and its role in stress tolerance and aging delays, using model plants like Arabidopsis, tomato, and rice. Education: Ph.D. in Biotechnology from Universidad Nacional Autónoma de México (UNAM), M.Sc. in Biotechnology from UNAM, and B.Sc. in Biochemical Engineering from Universidad Autónoma Metropolitana-Iztapalapa (UAM-I), Mexico. Her work spans plant metabolic networks, engineering biosynthetic pathways for nutritional enhancement, and developing high-throughput phenotyping systems to study stress tolerance. She collaborates across disciplines to improve crop resilience and productivity in changing climates. The 2024-2022 publications highlight her contributions to ascorbate biosynthesis pathways, stress tolerance mechanisms, and advanced phenotyping technologies. Key themes include climate-resilient crops, genetic engineering for vitamin C optimization, and automated phenomic data analysis. Scientific Awards: Vaughn Endowed Professorship (2024, 2023, 2022, etc.). She leads the A-State Plant High Throughput Phenotyping Facility since 2011 and is affiliated with AAAS, NAPPN, NEAHPN, PSNA, and Sigma Xi. Teaching specialties include Molecular Genetics and Genomics, Biochemistry, and Topics in Molecular Biosciences.

Stephanie Hendersonمشاهده پروفایل

استادیار

• Subseasonal to Seasonal Variability
• Tropical-Extratropical Interactions
• Global Teleconnections
• +۵ مورد دیگر

Stephanie Henderson serves as Assistant Professor in the Department of Atmospheric and Oceanic Sciences at the University of Wisconsin-Madison, where she leads research bridging weather forecasting and climate prediction through subseasonal-to-seasonal (S2S) variability studies. Her work addresses the critical predictability gap between synoptic weather systems and seasonal climate patterns, with direct implications for food security, public safety, and economic planning. Education: PhD in Atmospheric Science from Colorado State University Research Focus: Dr. Henderson specializes in tropical-extratropical interactions and global teleconnections , with particular expertise in the Madden-Julian Oscillation (MJO) and atmospheric blocking phenomena. Her methodology integrates observational analysis , numerical modeling , and statistical techniques to unravel how subseasonal processes (2-8 weeks) influence midlatitude weather extremes. Current projects examine MJO impacts on South American precipitation, Northeast Pacific blocking dynamics, and Arctic moisture intrusions. Publication Trends: Recent work (2022-2025) reveals intensifying focus on MJO teleconnection mechanisms across diverse regions, with growing emphasis on polar atmospheric rivers and climate change impacts on subseasonal predictability. Her research increasingly leverages satellite observations (e.g., PREFIRE mission) and addresses practical forecasting applications for extreme weather events. Research Environment: She directs the Subseasonal to Seasonal Variability group, utilizing resources including NOAA PSL SST monitoring, IRI ENSO forecasts, and CIMSS weather portals. The group maintains active collaborations with federal agencies to translate fundamental research into operational forecasting improvements for North American weather extremes.

• Hydrometeorological Extreme Events
• Water and Climate
• Big Data & AI/ML
• +۵ مورد دیگر

Ankit Agarwal is an Assistant Professor in the Department of Hydrology at the Indian Institute of Technology Roorkee (IIT Roorkee), where he has been serving since January 2019. He additionally holds concurrent positions as a Visiting Scientist at the Potsdam Institute for Climate Impact Research (Germany) and as a Doctoral Researcher at the University of Potsdam, both positions starting from August 2020. His academic profile reflects strong international collaboration, particularly with German research institutions. His educational background includes a Bachelor of Engineering in Civil Engineering from Jai Narayan Vyas University Jodhpur (2013), followed by a Master of Technology in Water Resource Engineering from IIT Delhi (2015), and culminating in a PhD in Hydrology from the University of Potsdam, Germany (2018). Dr. Agarwal's research spans Hydrometeorological Extreme Events, Water and Climate, Big Data & AI/ML applications in hydrology, Hydrological Modelling, and Impact-based Modelling. His work uniquely integrates complexity science, network analysis, and machine learning approaches to understand climate-hydrology interactions, with a specific focus on the Indian monsoon system, extreme events, and water resource management under climate change. He has developed innovative methodologies using complex networks to analyze precipitation patterns and climate teleconnections. His publication record demonstrates a strong trajectory of high-impact research, with recent work increasingly focusing on compound extremes (particularly dry and hot events), atmospheric moisture transport, flood dynamics in Himalayan river basins, and the application of satellite remote sensing data with hydrological modeling. His research shows a clear progression from theoretical hydro-climatic analysis toward practical applications for water resource management and disaster risk reduction. Dr. Agarwal leads multiple significant research projects funded by various national and international agencies including the Ministry of Education (STARS scheme), THDCIL, Belmont Forum, SERB, NHPC, ISRO, and Microsoft AI4Earth grants. His projects cover diverse areas including predictive modeling of Indian Summer Monsoon considering Arctic teleconnections, operational inflow forecasting systems for dams, assessing vulnerability to flood and drought hazards using machine learning, and studying compound dry and hot extremes in India. His collaborative network spans institutions including the Potsdam Institute for Climate Impact Research, GFZ German Research Centre for Geosciences, Technical University-Dresden, Research Institute for Development (IRD) France, and Indian institutions like IIT Delhi and the Indian Institute of Tropical Meteorology. This international collaboration framework supports his research on hydro-climatic extremes and their societal impacts.

Liang Chenمشاهده پروفایل

استادیار

• Land-atmosphere interactions
• Extreme events
• Climate change impacts
• +۳ مورد دیگر

Liang Chen is an Assistant Professor in the Department of Earth and Atmospheric Sciences at the University of Nebraska-Lincoln. His expertise spans land-atmosphere interactions, extreme climate events, climate modeling, and remote sensing. He is affiliated with the Hydroclimatology Lab, where his work addresses the impacts of climate change on renewable energy, agriculture, and ecosystems, alongside developing strategies to mitigate heat and flood risks. Education: Ph.D., 2015, Texas A&M University M.S., 2011, Lanzhou University B.S., 2008, Lanzhou University Chen’s research focuses on understanding how land surface changes influence climate across scales, analyzing extreme events in a warming climate, and translating these insights into societal benefits. His lab integrates climate modeling, remote sensing, and interdisciplinary approaches to study these phenomena. The 15 most recent publications highlight trends in microbiology and biochemistry, particularly in antifungal metabolites like HSAF and WAP-8294A. These works explore biosynthesis pathways, gene cluster activation, and bacterial signaling mechanisms. Subfields include microbial interactions, antibiotic engineering, metabolic regulation, and their applications in agriculture and medicine. No scientific awards are explicitly mentioned in the provided text. Chen’s work involves collaborations and grants supporting biocontrol agent research and climate studies, though specific grants are not detailed here. He is associated with the Hydroclimatology Lab, which emphasizes interdisciplinary research on climate impacts and mitigation strategies.

Noah S. Diffenbaughمشاهده پروفایل

استاد

• Climate Dynamics
• Climate Impacts
• Extreme Weather
• +۷ مورد دیگر

Noah S. Diffenbaugh is the Kara J Foundation Professor and Kimmelman Family Senior Fellow in Stanford University’s Doerr School of Sustainability, with additional appointments as Senior Fellow at the Stanford Woods Institute for the Environment and Affiliate of the Precourt Institute for Energy. He directs the Climate and Earth System Dynamics Group within the Department of Earth System Science. Education Ph.D. in Earth Sciences, University of California, Santa Cruz (2003) M.S. in Earth Systems, Stanford University (1997) B.S. in Earth Systems, Stanford University (1997) Research Interests Professor Diffenbaugh’s research integrates physical climate modeling with assessments of natural and human vulnerabilities. His group investigates how fine-scale climate processes—such as temperature and precipitation extremes—impact water resources, agriculture, human health, and poverty. By combining numerical models, machine-learning techniques, and observational data, they quantify the mechanisms shaping extreme events and project regional climate risks across multiple degrees of global warming. Scientific Awards & Honors Fellow, American Geophysical Union (2020) William Kaula Award, AGU (2020) James R. Holton Award, AGU (2006) Highly Cited Researcher, Web of Science (2020–2024) Kavli Fellow, U.S. National Academy of Sciences (2010, 2016) NSF CAREER Award (2010–2015) Advising & Mentorship Prof. Diffenbaugh currently advises doctoral students June Choi and Jared Trok, mentors postdoctoral researcher Makoto Kelp and doctoral candidate Peidong Wang, and serves as reader for Adam Burnett’s dissertation. He also directs independent study, directed research, and honors projects for numerous undergraduates across Earth Systems and Sustainability programs. Laboratory & Teams He leads the Climate and Earth System Dynamics Group (climatelab.stanford.edu), a multidisciplinary team using high-resolution Earth-system models and data-driven approaches to study climate dynamics and societal impacts.

Ralf Weisseمشاهده پروفایل

پژوهشگر

• Marine Climate
• Storm Surge Dynamics
• Ocean Wave Modeling
• +۳ مورد دیگر

Dr. Ralf Weisse is a leading researcher at the Institute of Coastal Systems - Analysis and Modeling within Helmholtz-Zentrum Hereon, Germany. As Department Head for Coastal Climate and Regional Sea Level Changes, his work focuses on Marine climate dynamics Storm surge mechanisms Ocean wave modeling Regional sea level change analysis Climate change adaptation for coastal regions . His research spans three decades with significant contributions to understanding German Bight storm surges , Baltic Sea extreme events , and North Sea coastal dynamics . Recent work combines machine learning with Earth system models for decadal-scale predictions. Key projects include: WAKOS (2020–present): Climate services for coastal adaptation EXTREMENESS (2016–2019): Storm surge impact assessment ALADYN (2021): Tidal dynamics in German Bight His publications address compound flood events , statistical downscaling , and historical storm surge comparisons . Affiliated with Universität Hamburg and DKRZ, he applies neural networks and ensemble climate modeling to improve coastal protection strategies.

Ji-Dong Guمشاهده پروفایل

استاد

• Microbial Ecology
• Bioremediation
• Cultural Heritage Protection
• +۴ مورد دیگر

Professor Ji-Dong Gu is a Full Professor in the Environmental Science and Engineering department at Guangdong Technion-Israel Institute of Technology in Shantou, China. With an extensive academic background including a PhD in Soil Sciences - Microbial Ecology from Virginia Tech, he has established himself as a leading researcher in environmental microbiology with a particular focus on cultural heritage protection. His educational background includes: PhD in Soil Sciences - Microbial Ecology from Virginia Tech (1988-1991) MSc in Soil Microbiology and Biochemistry from University of Alberta (1985-1988) BSc in Agronomy from Heilongjiang August First Land Reclamation University (1979-1983) Professor Gu's research spans multiple critical areas in environmental microbiology. His work on microbial ecology related to cultural heritage protection has been particularly influential, examining how microorganisms contribute to the biodeterioration of stone monuments and wall paintings at sites like the Maijishan and Mogao Grottoes. He has made significant contributions to understanding nitrogen cycling processes, particularly anaerobic ammonium oxidation (anammox) bacteria, and their applications in wastewater treatment. His research also extends to microbial communities in oil reservoirs and bioremediation of environmental pollutants. With 878 publications that have garnered 28,846 citations, Professor Gu has established himself as a prolific researcher whose work spans fundamental microbial ecology and practical applications. His recent publications show a continued focus on cultural heritage protection, nitrogen cycling, and microbial community analysis in diverse environments with numerous papers published through 2025. His scientific achievements include: Charles Rich Fellowship (1991) Extensive publication record with significant impact in environmental microbiology Organization of international symposia on cultural heritage biodeterioration and protection Leadership in establishing research collaborations across multiple institutions Professor Gu maintains an active research program with numerous ongoing projects related to environmental microbiology and cultural heritage protection. His laboratory investigates microbial communities on stone monuments, develops strategies for cultural heritage conservation, and studies fundamental microbial processes in environmental systems. He has supervised numerous students and researchers throughout his career, contributing to the training of the next generation of environmental microbiologists.

Henning Rustمشاهده پروفایل

استاد

• Weather and Climate Statistics
• Extreme Weather Events
• Stochastic Modeling
• +۳ مورد دیگر

Prof. Dr. Henning Rust is a Professor of Statistical Meteorology at the Department of Geosciences, Freie Universität Berlin, and head of the Statistical Meteorology Group. He co-speaks the Hans-Ertel-Centre for Weather Research, funded by the German Weather Service (DWD), and contributes to national and international climate projects like MiKlip and BINGO. His work bridges statistical modeling, extreme event analysis, and climate risk communication. PhD in Theoretical Physics (2007, University of Potsdam) Diplom in Physics (2001, Albert-Ludwigs-Universität Freiburg) BSc with Honours in Physics (1998, Brock University, Canada) Research Interests focus on stochastic precipitation models , extreme convective events , statistical downscaling , and forecast verification . He specializes in time series analysis and long-range dependence in climatological data. His recent publications analyze decadal climate predictability, compound extremes (e.g., ozone-weather interactions), and citizen science applications in weather education. Notable works include skill score decomposition for Atlantic climate phases and flexible IDF curve modeling for urban hydrology. Awards include a summa cum laude PhD and the Distinguished Graduation Student Award for Physics. He supervises PhD and Master’s students on topics like windstorm risk modeling and precipitation extremes . Additional roles: German Meteorological Society (executive board) , MiKlip steering committee , and climate communication via self-built weather station projects.

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

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