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Jun Tu is a Professor in the Department of Geography and Anthropology at Kennesaw State University (KSU). He specializes in Environmental Geography, Health Geography, and Spatial Analysis, with a focus on integrating GIS, spatial statistics, and modeling to study environmental and health impacts of urbanization and climate change. His research spans water quality in Georgia and Massachusetts, air pollution in China and Iran, and public health issues like preterm birth and lung cancer in Georgia. Education: Ph.D. and M.Phil. in Earth and Environmental Sciences (Geography Specialization) from The City University of New York; M.E. and B.S. in Earth Sciences from Nanjing University, China; Certificate in Urban Environmental Management from the Institute for Housing and Urban Development Studies, The Netherlands. Research interests include GIS applications in environmental health, urbanization effects on natural environments, and climate resilience. Collaborations include projects funded by The Partnership for Inclusive Innovation, focusing on community preparedness in Athens-Clarke County. He has published over 35 peer-reviewed articles and reviewed for 60+ journals. Teaching includes courses on Weather and Climate, Environmental Studies, GIS in Public Health, and Geography of Asia. His work has been cited over 2500 times globally.

• Environmental Geography
• Health Geography
• Spatial Analysis
• +5 more

Professor Ashish Sharma is a Professor of Hydrology and Water Resources in the School of Civil and Environmental Engineering at the University of New South Wales, Sydney, Australia. With a PhD in Civil Engineering from Utah State University and extensive experience in hydrological research, he has established himself as a leading expert in his field. Dr. Sharma's research focuses on hydrological uncertainty, with particular emphasis on the impact of climate change and variability on hydrological practice. His work spans multiple areas including remote sensing applications, stochastic hydrological modeling approaches, development of hydrological models, and addressing key hydrology challenges such as design flood estimation and water resources management. He has made significant contributions to understanding how climate change affects hydrological extremes and water availability. His publications reveal a strong trend toward advanced modeling techniques for climate change impact assessment, with recent work focusing on spectral transformation methods, multivariate bias correction in climate models, flood forecasting improvements, and the relationship between temperature and precipitation extremes. His research increasingly integrates remote sensing data with hydrological modeling to address challenges in data-scarce regions. Professor Sharma has held significant leadership positions including President of the International Commission of Hydrologic Sciences (IAHS) Commission on Statistical Hydrology (STAHY) since 2016, service on the Australian Research Council's College of Experts twice, and participation on the Technical Committee for the Australian Rainfall and Runoff Design Flood Estimation guidelines (ARR2016). In addition to his research leadership, Professor Sharma actively mentors students and collaborates with researchers globally, as evidenced by his extensive publication record across top hydrology and climate journals. His work bridges theoretical hydrology with practical applications for water resources management under changing climate conditions.

• Hydrological uncertainty
• Climate change impact on hydrology
• Remote sensing applications
• +6 more

Prof. Dr. Ralf Merz serves as Head of the Department of Catchment Hydrology at the Helmholtz Centre for Environmental Research (UFZ) and holds a Full Professorship in Catchment Hydrology at Martin-Luther University Halle-Wittenberg since 2011. His career bridges hydrological modeling, flood risk assessment, and water quality analysis across diverse climates from Central Asia to Europe. MSc in Civil Engineering (Technical University of Karlsruhe, 1997) PhD in Hydrology (Vienna University of Technology, 2002) Habilitation in Hydrology (Vienna University of Technology, 2009) Research Interests span comparative hydrology, flood generation mechanisms, climate change impacts on water resources, and nitrate dynamics in river systems. His work emphasizes process-based understanding of runoff events and regional flood modeling through innovative approaches like the PHEV distribution framework. Scientific Contributions include over 100 publications (2003-2025) on: Flood frequency analysis in changing climates Groundwater recharge in arid regions Hydrochemical response to droughts Remote sensing applications for groundwater studies Multi-response calibration of hydrological models Key projects involve MOSES observatory development, TRACER research school, and Pamir Mountains glaciological studies. Recognitions : APART research grant (Austrian Academy of Sciences, 2006) Leadership extends to directing the Catchment Hydrology department and participating in European hydrological networks like the Bode Hydrological Observatory and TERENO infrastructure. His methodological advancements include flood time-scale analysis and event runoff coefficient regionalization.

• Catchment Hydrology
• Flood Risk Assessment
• Climate Change Impact on Water Resources
• +3 more

Daniel Farinotti is a Professor of Glaciology at the Department of Civil, Environmental and Geomatic Engineering at ETH Zurich and at the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). His work focuses on understanding glacier evolution and its impacts on water resources across mountainous regions globally. Dr. Farinotti's research interests center on glaciological modeling and its applications to water resource management. His expertise includes estimating glacier ice thickness from surface properties, long-term modeling of glacier mass changes, quantifying runoff contributions from glaciated catchments, and implications for water management in high mountain areas. His research integrates field observations, remote sensing data, and numerical modeling to address critical questions about glacier response to climate change. Dr. Farinotti's scientific achievements have been recognized with prestigious awards including the 2017 Nature Research Award for Outstanding Achievements in Review and the 2013 Award for Outstanding Contributions to Review from the Journal of Geophysical Research - Earth Surface. His publications demonstrate a consistent pattern of high-impact research across glaciology, hydrology, and climate science, with particular emphasis on the interactions between glacier dynamics and water resources. As a principal investigator, Dr. Farinotti has secured significant research funding from organizations including the Swiss National Foundation and German Federal Foreign Office. His work often involves international collaborations across multiple institutions, reflecting the global nature of glacier research and its implications for water security. He maintains active involvement in major scientific initiatives focused on glacier monitoring and climate change impacts. Dr. Farinotti leads the Glaciology research group at ETH Zurich's Laboratory of Hydraulics, Hydrology and Glaciology (VAW), which conducts fieldwork across multiple mountain ranges globally. The group employs advanced techniques including geophysical surveys, remote sensing, and numerical modeling to investigate glacier dynamics and their hydrological impacts.

• Glaciology
• Glacier Evolution
• Water Resources
• +3 more

Yanhua Li is an Associate Professor in the Computer Science Department and Data Science Program at Worcester Polytechnic Institute (WPI), where he has served since 2021 (previously as Assistant Professor from 2015-2021). He is also an affiliated researcher at UMass Transportation Center (UMTC). His educational background includes dual PhDs: Computer Science from University of Minnesota, Twin Cities (2013) and Electrical Engineering from Beijing University of Posts and Telecommunications (2009), along with an MS (2006) and BS (2003) in Electrical Engineering from Sichuan University. Dr. Li's research focuses on artificial intelligence and spatial-temporal data science with applications in smart cities and urban intelligence. His work particularly emphasizes imitation learning and meta learning in AI for understanding and influencing urban human agents' decision-making strategies, such as taxi drivers' passenger-seeking behaviors and urban travelers' transit choices. His laboratory develops advanced computational methods for urban transportation systems, traffic prediction, and spatial-temporal data analytics. His publication record shows a strong trajectory in top AI and data science venues, with recent work bridging foundation models with urban computing, enhancing robustness in spatial-temporal representation learning, and applying generative models to urban traffic estimation. His research spans computer vision, reinforcement learning, generative modeling, and spatio-temporal data analysis with applications in transportation, environmental monitoring, and urban planning. Best Applied Data Science Paper Award at SDM 2019 NSF CAREER Award (2020) Runner-up for the 10-Year Impact Award for SIGSPATIAL Conference (2024, for 2014 paper) Dr. Li has secured significant research funding including an NSF CAREER award ($529k), multiple NSF grants totaling over $2 million, and industry collaborations with DiDi Chuxing Research. He has advised numerous PhD students who have gone on to faculty positions at institutions like San Diego State University and SUNY Binghamton University. His research group maintains active collaborations with industry partners including DiDi Chuxing, Pitney Bowes Inc., and NVIDIA. He leads several research initiatives including the CityLines project for urban transportation systems and has contributed to foundational work in spatial-temporal imitation learning. His laboratory continues to expand into new areas including applying large language models to urban dynamics prediction and developing advanced methods for environmental monitoring.

• Artificial Intelligence
• Spatial-Temporal Data Science
• Smart Cities
• +5 more

Dr. Sean K. Carey is a Professor in the School of Earth, Environment and Society at McMaster University, where he directs the Watershed Hydrology Group. His research focuses on hydrological and land surface processes in natural and human-impacted environments, with particular expertise in cold regions hydrology and northern environments. Dr. Carey holds a BSc (Hons) from the University of Guelph (1994), an MSc from McMaster University (1996), and a PhD from McMaster University (2000). His educational background established the foundation for his research in northern hydrology and climate change impacts. His research examines climate change processes and surface water hydrology, particularly in subarctic and alpine environments. Key interests include: Hydrological responses to climate change in cold regions Land surface processes in natural and disturbed landscapes Ecohydrological interactions in northern ecosystems Water resource management in mining-affected regions Long-term watershed monitoring and modeling Dr. Carey's extensive publication record focuses on hydrological processes in changing cold regions, with recent work examining permafrost interactions, watershed biogeochemistry, and ecosystem recovery in reclaimed landscapes. His research consistently addresses climate change impacts on northern water resources. He leads the Watershed Hydrology Group, which conducts field-based research across northern Canada including Yukon Territory and Alberta's oil sands region. Current work investigates the effects of climate warming on hydrological cycles and ecosystem functions in vulnerable northern environments.

• Climate change processes
• Surface water hydrology
• Hydrological processes
• +2 more

Dr Conrad Wasko is a Sydney Horizon Fellow at the University of Sydney and an honorary fellow at the University of Melbourne. He specializes in environmental hydrology and climate change impacts on extreme rainfall and flooding. His work has been cited by the IPCC and he co-leads the update to Australia’s flood estimation guidelines. Previously, he held an ARC DECRA Fellowship and a McKenzie Fellowship. He has published over 50 articles and received awards including the Batterham Medal (2023) and the MSSANZ Early Career Research Excellence Award (2019). His research focuses on quantifying climate-driven changes in rainfall patterns and flood risks, with applications to infrastructure resilience and policy. Education: PhD in Civil Engineering, UNSW Sydney (2016) Bachelor/Master’s qualifications (not explicitly stated in text) Key Roles: Member of The Net Zero Institute Editor of Journal of Hydrology X and Advances in Water Resources Hydroclimate Stream Leader, Modelling and Simulation Society of Australia and New Zealand His research emphasizes the intensification of extreme rainfall events with global warming, particularly their implications for flood risk and urban infrastructure. He uses advanced statistical models and climate data to project future flood scenarios and improve design standards. Recent work includes analyzing non-stationary rainfall patterns and improving flood frequency analysis techniques. Awards and Honors: Batterham Medal (Australian Academy of Technological Sciences and Engineering, 2023) Veski Victoria Fellow (2020) MSSANZ Early Career Research Excellence Award (2019) Lorenz G Straub Award (2016) Grants and Projects: ARC DECRA Fellowship (University of Melbourne) Contributions to national climate change adaptation frameworks Labs and Collaborations: Partnerships with the Water Research Centre (UNSW) and the Net Zero Institute Collaborations on global flood risk assessments and hydrological modeling tools

• Climate Change
• Environmental Hydrology
• Extreme Rainfall Patterns
• +3 more

Rich Walker is an Assistant Professor in the Department of Biology, Geology, and Environmental Science at the University of Tennessee at Chattanooga (UTC). His research focuses on freshwater ecosystems, particularly understanding how stressors affect stream biodiversity and ecological processes. He leads the Freshwater Ecology and Conservation Lab, emphasizing interdisciplinary approaches to environmental challenges. Education: PhD in Ecology (University of Wyoming, 2019), MS in Biology (University of Central Arkansas, 2011), and BS in Environmental Science (University of Central Arkansas, 2008). Research interests include freshwater salinization, non-perennial stream dynamics, and fisheries conservation. His work bridges basic and applied questions, such as how climate change and human activities alter water quality and habitat availability. Recent studies explore predictive modeling of conductivity in the Chesapeake Bay watershed and biogeochemical responses in intermittent streams. Publications span Environmental Science & Technology Water , Nature Water , and Science of the Total Environment . His 2024 studies address conductivity trends and non-perennial stream management. Key findings include global gaps in salinization research and crayfish population dynamics under climate variability. Service roles include membership in UTC’s Curriculum Committee, Izaak Walton League’s Save Our Streams, and the Hartman Nature Reserve Board. Teaching covers ecology, limnology, and fisheries management.

• Freshwater Ecology
• Environmental Science
• Fisheries Conservation and Management
• +6 more

Dr. Miguel Rico-Ramirez serves as Associate Professor of Radar Hydrology and Hydroinformatics at the University of Bristol's School of Civil, Aerospace and Design Engineering. His research integrates advanced radar technology with hydrological modeling to address critical water resource challenges including flood forecasting, drought management, and precipitation measurement across diverse global contexts from South Korea to Mexico City. Education: Bachelor of Engineering (Eng.) Master of Engineering (M.Eng.) Ph.D. in Engineering, University of Bristol His research program focuses on radar-based precipitation estimation, hydroinformatics, and flood prediction systems. He pioneers deep learning applications for rainfall nowcasting and develops innovative methods for uncertainty quantification in hydrological modeling. Current work emphasizes cosmic-ray neutron sensor validation, satellite-based flood mapping, and seasonal forecast applications for reservoir operations, with strong emphasis on translating research into operational water management solutions. Recent publications (2023-2025) reveal three dominant research thrusts: (1) deep learning frameworks for spatiotemporal rainfall prediction, (2) global validation of precipitation and soil moisture datasets using novel sensor networks, and (3) operational implementation of seasonal forecasts for drought mitigation in South Korea. His work consistently bridges radar meteorology with practical hydrological applications across urban and data-scarce environments. Scientific Awards: No specific awards documented in source materials Dr. Rico-Ramirez supervises postgraduate researchers in radar hydrology and hydroinformatics, with projects spanning flood early warning systems, precipitation nowcasting, and climate adaptation strategies. His research receives funding for international collaborations focused on water security challenges, particularly in drought-prone regions and data-scarce basins like the Nile Delta. Current grants support development of integrated forecasting systems combining global datasets with machine learning for extreme event management. He leads the Radar Hydrology research group within Bristol's Water and Environmental Engineering division, collaborating closely with Professor Dawei Han on hydroinformatics and Dr. Rafael Rosolem on water-climate interactions. The team maintains active partnerships with meteorological agencies and water authorities globally, particularly in flood forecasting system implementation across South Korea and Mexico.

• Radar Hydrology
• Hydroinformatics
• Flood Forecasting
• +3 more

Paul D. Brooks is a Professor in the Department of Geology/Geophysics at the University of Utah, where he has been a faculty member since July 2014. His research focuses on understanding water, energy, and biogeochemical cycling in seasonally snow-covered catchments, with increasing emphasis on predicting how climate and land use changes impact snow accumulation, ablation, and snowmelt-derived surface and ground water resources. His educational background includes a BS in Biology and Chemistry from Florida State University, followed by an MS in Ecohydrology (1991) and PhD in Biogeochemistry (1995), both from the University of Colorado, Boulder. Prior to his position at the University of Utah, Dr. Brooks was a Professor in the Department of Hydrology and Water Resources at the University of Arizona from December 2000 to June 2014. Dr. Brooks' research spans multiple disciplines within earth sciences, focusing primarily on hydrology, ecohydrology, and biogeochemical cycling in mountainous, snow-dominated environments. His work examines how climate change affects snowmelt processes, groundwater-surface water interactions, and water resource availability in the western United States. He employs a combination of field measurements, isotope hydrology, and modeling approaches to understand complex hydrological processes across multiple spatial and temporal scales. His research increasingly involves collaboration with stakeholders to translate scientific findings into practical water resource management applications. Analysis of Dr. Brooks' recent publications reveals a strong focus on groundwater-surface water interactions in snowmelt-dominated systems, with particular attention to how climate change affects streamflow generation processes. His work bridges fundamental hydrological science with practical water resource concerns, examining topics such as runoff efficiency, groundwater storage dynamics, and the impacts of land cover changes on hydrological processes. A significant portion of his recent research investigates the Western United States water resources under changing climate conditions. AGU Fellow (American Geophysical Union) Dr. Brooks actively mentors graduate students through thesis research (both PhD and Master's level) as evidenced by his teaching activities. His lab conducts research supported by various grants focused on understanding water resources in mountainous regions, particularly examining how climate change affects snowmelt hydrology and water availability. He collaborates extensively with researchers across multiple institutions, as demonstrated by his numerous co-authored publications with scientists from various universities and research organizations. Dr. Brooks leads research efforts through his lab at the University of Utah and is involved with the Wasatch Environmental Observatory, a mountain-to-urban research network in the semi-arid Western US. His work integrates field measurements across complex terrain to understand how topography, vegetation, and climate interact to control water, energy, and biogeochemical cycling in seasonally snow-covered environments.

• Hydrology
• Ecohydrology
• Water Quality
• +11 more

Dr. C. Rhett Jackson serves as the Associate Dean of Academic Affairs and holds the John Porter Stevens Distinguished Professorship in Water Resources at the University of Georgia's Warnell School of Forestry and Natural Resources. His research focuses on the impacts of land use (forestry, agriculture, urbanization) on water quality and aquatic habitats, with particular emphasis on riparian vegetation, stream temperatures, and hydrological processes. He leads trans-disciplinary projects involving collaborators from environmental engineering, ecology, and geology. Education: PhD in Hydrology (University of Washington), MSE and BSE in Environmental Engineering (Duke University). Affiliations: Institute for Resilient Infrastructure Studies (IRIS), River Basin Center, and Coweeta LTER. Research interests include interflow dynamics, nitrogen cycling in mountain catchments, and the effectiveness of best management practices for nonpoint source pollution. He has authored over 100 peer-reviewed articles and has been recognized for his contributions to environmental science through the Distinguished Professor title. Key labs/centers: Water Resources Area, IRIS, and Coweeta LTER. His work bridges basic hydrologic science with applied water resource management, addressing both rural and urban challenges such as bioenergy crop impacts, karst groundwater interactions, and urban stream restoration.

• Water Quality
• Hydrology
• Environmental Engineering
• +4 more

Dr Ting Sun is an Associate Professor in Climate & Meteorological Hazard Risks at University College London , Department of Risk and Disaster Reduction. He earned his BEng (2009) and PhD in Hydrology (2013) from Tsinghua University , followed by a visiting period at Princeton University (2011–2012). After postdoctoral appointments at Tsinghua and the University of Reading , he held a NERC Independent Research Fellowship at Reading (2017–2022) before joining UCL in May 2022. Education PhD in Hydrology, Tsinghua University, 2013 BEng in Hydraulic Engineering, Tsinghua University, 2009 Visiting PhD Student, Princeton University, 2011–2012 Research Interests Dr Sun’s work converges on urban climate modelling across scales —from neighbourhood blocks to global grids—focusing on the impacts of weather and climate extremes such as heat waves and extreme rainfall in cities. He is the lead developer of the Surface Urban Energy and Water balance Scheme (SUEWS) and its Python wrapper SuPy , developed in collaboration with Prof Sue Grimmond’s micromet group. He also contributes as a core member of the Urban Multi-scale Environmental Predictor (UMEP) development team. His multidisciplinary expertise integrates hydro-climate dynamics, computational modelling, machine learning, built-environment processes, and public-health linkages . Research Trends from Recent Publications Across the 15 most recent articles, a clear trajectory emerges from high-resolution urban-process modelling toward integrated socio-environmental assessments . Studies published in 2024–2025 couple atmospheric models (WRF-SUEWS) with global building-morphology datasets (GLAMOUR) to quantify how cities alter rainfall patterns, temperature sensitivity, and heat-related mortality. Earlier works progressively refined SUEWS’s physical parameterisations and Python accessibility, while recent outputs leverage deep-learning remote-sensing tools (SHAFTS) and hybrid hydrological-neural architectures to deliver actionable insights for urban planning and climate adaptation. Scientific Awards & Fellowships NERC Independent Research Fellowship , University of Reading, 2017–2022 HEA Fellowship , University College London, 2023 Professional Service & Editorial Roles Topic Editor , Geoscientific Model Development (from 2025) Editorial Board Member , Scientific Data (from 2024) Peer review and consultancy for journals, conferences, and policy bodies Supervision of taught-course projects and research degrees External examining and mentoring Labs, Teams & Collaborations Dr Sun leads and collaborates within the UCL Department of Risk and Disaster Reduction , working closely with the micromet group at the University of Reading (Prof Sue Grimmond) on SUEWS/SuPy development. He is an active member of the UMEP consortium and maintains extensive international collaborations spanning Tsinghua University, Princeton, and numerous European research centres, underpinning a vibrant, interdisciplinary research network focused on urban climate resilience.

• Urban climate modelling
• Climate change impacts and adaptation
• Extreme weather events in cities
• +5 more

Chaopeng Shen is a Professor in the Department of Civil and Environmental Engineering at Pennsylvania State University. His research bridges hydrology with state-of-the-art deep learning and differentiable modeling techniques, focusing on advancing our understanding of hydrologic cycles and their interactions with ecosystems, energy, and carbon cycles. He leads the Multi-scale Hydrology, Processes and Intelligence group (MHPI) and has developed the Process-based Adaptive Watershed Simulator (PAWS) for large-scale hydrologic modeling. Shen's work emphasizes physics-informed machine learning , where deep learning components are integrated with process-based equations through differentiable modeling. This approach enables training neural networks using big data while respecting physical laws, leading to improved generalizability and robustness. His group has demonstrated advantages of differentiable models in rainfall-runoff prediction, routing, ecosystem modeling, and water quality studies. Notably, his team's deepLDB project addresses landslide prediction using AI and big datasets. Recent publications highlight his contributions to global water modeling (grid-LSTM, differentiable Muskingum-Cunge routing), extreme flood forecasting (probabilistic diffusion models), and hydrologic uncertainty quantification . Shen actively engages in interdisciplinary collaborations through the PRISM Cooperative Institute, which aims to integrate multi-domain data for systemic risk assessment. His group has advised students including Dapeng Feng, Wen-Ping Tsai, Kuai Fang, Xinye Ji, and Tasnuva Mahjabin. Shen's research is supported by the National Science Foundation (NSF), Department of Energy (DoE), USGS, Google.org, and the Gates Foundation. He serves as Editor for the Journal of Geophysical Research - Machine Learning & Computation and Chief Editor for Frontiers in Water: Water & AI. His open-source software tools like PAWS and deepLDB are available through dedicated project websites.

• Hydrology
• Deep Learning
• Physics-Informed Machine Learning
• +9 more

Margaret Garcia is an Associate Professor at the School of Sustainable Engineering and the Built Environment , Arizona State University (ASU). She is affiliated with multiple research centers, including the Center for Behavior, Institutions and the Environment (CBIE) , Central Arizona-Phoenix Long Term Ecological Research , Earth Systems Science for the Anthropocene , Water Institute , and Global Futures Scientists and Scholars . Education: Ph.D., Civil and Environmental Engineering, Tufts University (2017) M.S., Civil and Environmental Engineering, University of California-Los Angeles B.S., Civil and Environmental Engineering and B.A., International Studies, Lafayette College (2004) Her research focuses on the sustainability and resilience of urban water systems , using systems analysis to study feedbacks in coupled human-hydrological systems . Key themes include reservoir operations , adaptive infrastructure , water policy , and real-time flood monitoring . Recent work explores equity in water management , institutional dynamics , and green infrastructure optimization . Her 15 most recent publications span topics in socio-hydrology , water policy analysis , climate change adaptation , and urban flood modeling , with applications to the Western Water Network , Colorado River Basin , and transboundary regions like Ambos Nogales. Collaborative projects include NSF-funded initiatives on adaptive reservoir operations , cross-scale interactions , and community-based flood awareness . Scientific Awards: NSF CAREER Grant 1942370 (2020) She mentors students in Ph.D. programs (e.g., Ashish Shrestha , Behshad Mohajer ) and Master’s programs (e.g., Dillon Nys , Krista Lawless ). Her teaching includes graduate courses on research, reading, and thesis advising, alongside undergraduate hydrology classes.

• Water Resource Management
• Urban Infrastructure
• Watershed Hydrology
• +6 more

Soroosh Sorooshian is a Professor at the Samueli School of Engineering , University of California, Irvine, with joint appointments in Civil and Environmental Engineering and Earth System Science . He serves as Founding Director of the Center for Hydrometeorology and Remote Sensing (CHRS) and holds the Samueli Endowed Chair in Engineering . His expertise spans hydrometeorology, climate-water interactions, remote sensing applications, and water resource management in arid regions. Education : Ph.D. in Engineering (1978), Engineer Degree in Systems Engineering (1977), M.S. in Operations Research (1973), B.S. in Mechanical Engineering (1971). Leadership & Affiliations : Member of US National Academy of Engineering , International Academy of Astronautics , and multiple scientific bodies (AAAS, AGU, AMS, IWRA). Former advisor to NASA, NOAA, and UNESCO initiatives. Recent research focuses on machine learning integration for hydrological modeling , satellite precipitation product development , and climate change impact assessments . Key trends include deep learning for bias correction , multi-sensor precipitation fusion , and atmospheric river hydrology in California. Awards include the AGU Horton Medal , NASA Distinguished Public Service Medal , and Prince Sultan Bin Abdulaziz International Water Prize . He consults on urban flooding and surface hydrology challenges. Scientific Honors : Chinese Academy of Sciences Einstein Professorship (2014) UNESCO Great Man-Made River Water Prize (2007) AMS Walter Orr Roberts Lecturer (2009) Multiple Distinguished Educator Awards Advisory Roles : Served on committees for NASA, DOE, and World Climate Research Programme's Hydrology Commission.

• Hydrometeorology
• Water Resources Systems
• Climate Studies
• +3 more