A5006282923- Flood Risk Assessment and Management
- Hydrology and Watershed Management Studies
- Water Quality Monitoring Technologies
- Atmospheric and Environmental Gas Dynamics
- Air Quality Monitoring and Forecasting
- Water Quality Monitoring and Analysis
- Data Management and Algorithms
- Land Use and Ecosystem Services
- Data Visualization and Analytics
- Tropical and Extratropical Cyclones Research
- Water-Energy-Food Nexus Studies
- Geographic Information Systems Studies
- Ecosystem dynamics and resilience
- Marine and environmental studies
- Climate Change, Adaptation, Migration
- Hydrological Forecasting Using AI
- Climate Change and Health Impacts
- Meteorological Phenomena and Simulations
- Water resources management and optimization
- Oceanographic and Atmospheric Processes
- Air Quality and Health Impacts
- Fire effects on ecosystems
- Species Distribution and Climate Change
- Hydrology and Drought Analysis
- Human Mobility and Location-Based Analysis
University of North Carolina at Chapel Hill
2021-2025
North Carolina State University
2020-2024
Jet Propulsion Laboratory
2023-2024
Estimates of ground-level ozone concentrations are necessary to determine the human health burden ozone. To support Global Burden Disease Study, we produce yearly fine resolution global surface estimates from 1990 2017 through a data fusion observations and models. As sparse in many populated regions, use novel combination M3Fusion Bayesian Maximum Entropy (BME) methods. With M3Fusion, create multimodel composite by bias-correcting weighting nine atmospheric chemistry models based on their...
Abstract Ecological forecasting provides a powerful set of methods for predicting short‐ and long‐term change in living systems. Forecasts are now widely produced, enabling proactive management many applied ecological problems. However, despite numerous calls an increased emphasis on prediction ecology, the potential to accelerate theory development remains underrealized. Here, we provide conceptual framework describing how forecasts can energize advance theory. We emphasize opportunities...
Abstract Floods are the leading cause of natural disaster damages in United States, with billions dollars incurred every year form government payouts, property damages, and agricultural losses. The Federal Emergency Management Agency oversees delineation floodplains to mitigate but disparities exist between locations designated as high risk where flood occur due land use climate changes incomplete floodplain mapping. We harnessed publicly available geospatial datasets random forest...
Abstract Accurate assessment of global river flows and stores is critical for informing water management practices, but current estimates exhibit substantial spread remain sparse. Estimates are hampered by uncertainties in land runoff, an unobserved quantity that provides input to rivers. Here we leverage flow observations ensemble surface models generate a globally gauge-corrected monthly storage dataset. We estimate mean (± variability) 2,246 ± 505 km 3 continental 37,411 7,816 yr −1 . Our...
The advent of wide-swath interferometry, exemplified by the Surface Water and Ocean Topography (SWOT) mission, is transforming inland water observation with unprecedented spatial coverage. This study explores potential wide-swath-derived discharge data to enhance dynamics river networks at continental scale through hydrological modeling assimilation. Using NASA's RAPID model in a synthetic framework, we evaluate improvements Mississippi River basin under high-frequency observing...
Abstract The Earth's rivers vary in size across several orders of magnitude. Yet, the relative significance small upstream reaches compared to large downstream global water cycle remains unclear, challenging determination adequate spatial resolution for observations. Here, we use monthly simulations river stores and fluxes investigate intrinsic scales cycle. We frame these scale‐dependent dynamics terms observational capabilities, assessing how that can be resolved influences our ability...
Abstract Impacts of sea level rise will last for centuries; therefore, flood risk modeling must transition from identifying risky locations to assessing how populations can best cope. We present the first spatially interactive (i.e., what happens at one location affects another) land change model (FUTURES 3.0) that probabilistically predict urban growth while simulating human migration and other responses flooding, essentially depicting geography impact response. Accounting reduced total...
In the United States, requirements for flood insurance, development restrictions, and federal buyout program eligibility rely on regulatory designation of hazardous zones, i.e., inside or outside 100-year floodplain. Extensive research has investigated floodplain patterns across different geographies, times, scales, yet impacts, potential unintended consequences, policies beyond their boundaries have not been empirically examined. We posit that presents a “safe paradox”, whereby attempts to...