-
Naresh Devineni
CUNY City College of New YorkMeeting roles in:
Assessing New York City Heatwaves: Hazards and Vulnerability based on observations and DOE Model Data
Understanding the linkages between climate and hydrological whiplash across the Contiguous United States
Hydrologic Extremes: Understanding Drivers, Risks, and Uncertainty I Poster
Projecting Near-Term Changes in Global Flood Risks
Post-tropical Storm Ida: Linking mesoscale and statistical analysis to contextualize an unprecedented precipitation event
From Space to Street: Satellite-Driven Urban Flood Intensity Mapping
Hydrologic Extremes: Understanding Drivers, Risks, and Uncertainty II Oral
A hierarchical Bayesian approach to understanding recent flash flood trends in the USA
Flash Flood Damage Duration Curves: A Multi-level Bayesian Approach to State-Level Analysis and Uncertainty Quantification
Hydrometeorologic Extremes: Prediction, Simulation, and Change I Oral
A Non-Stationary Copula–Wavelet Framework for Diagnosing Drought Propagation Strength and Timing
Model linkages: A survey of practical and scientific challenges and solutions to integrating earth and human system models
Reliability-Based design for flood walls under climate change
Hydrometeorologic Extremes: Prediction, Simulation, and Change II Oral
Hydrometeorologic Extremes: Prediction, Simulation, and Change III Oral
Hydrometeorologic Extremes: Prediction, Simulation, and Change IV Poster
Vine Copula based Regional Frequency Analysis of Extreme Rainfall for the urban Northeast United States Under Climate Change
High-Resolution Depth-Duration-Frequency Curves from Radar-Derived Precipitation: A Case Study of Puerto Rico and the U.S. Virgin Islands
Identifying Landslide Patterns and Precipitation Thresholds Using Machine Learning: A Case Study in Oregon
Understanding Geo-Environmental Factors for Landslide Occurrences Using Geographically Explainable AI: A Case Study from the Northeastern United States
Enter Note
Go to previous page in this tab
Author/Chair
