SA
Member Since 1998
Sankar Arumugam
Professor, North Carolina State University Raleigh
AGU Research
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Is Reservoir Storage Effectively Utilized in the Southeastern US? A Regional Assessment to Improve Water Supply Availability Considering Potential Storage and Flood Scenarios
EARTH'S FUTURE
20 february 2025
Jessica Levey, Sankar Arumugam
Most of the world's population faces freshwater scarcity threats, and reservoirs, built both for ensuring water supply during prolonged droughts an...
Synthesis of Reservoir Operation across the CONUS using PLRT-AI Modeling
ADVANCING HYDROLOGIC MODELING AND PREDICTION USING LARGE-DOMAIN METEOROLOGICAL AND HYDROLOGIC DATASETS I POSTER
hydrology | 13 december 2024
Jiheun Kim, Shiqi Fang, Sankar Arumugam
Dams play a crucial role in regulating downstream flow, but incorporating reservoir systems into land-surface models (LSMs) presents significant compu...
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Advancing Global Flood Damage Modeling Using Explainable Machine Learning Frameworks
FUSION AND APPLICATION OF AI/ML WITH REMOTE SENSING, SOCIAL SENSING, AND/OR PHYSICAL PROCESS MODELING TO STUDY HAZARD I ELIGHTNING
natural hazards | 11 december 2024
Nasser Najibi, Jeongwoo Hwang, Dingbao Wang, Kichu...
There is an increasing need to comprehensively understand the vulnerability and exposure to past and future floods across the world. However, global d...
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A complete Density Correction of GCM projections using Normalizing Flows
ADVANCING EARTH SYSTEM SCIENCE USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING I ELIGHTNING
global environmental change | 11 december 2024
Shiqi Fang, Brian J. Reich, Reetam Majumder, Emily...
Global Climate Models (GCMs) provide essential information for impact analysis, adaptation pathways, and prediction studies. However, GCMs often conta...
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Hydroclimatic Scenario Generation Using Two-Stage Stochastic Simulation Framework
ADVANCES IN HYDROMETEOROLOGICAL ANALYSIS AND MODELING: INTEGRATING INFORMATICS, SPATIOTEMPORAL MODELING, AND UNCERTAINTY INTO HYDROLOGIC HAZARD ASSESSMENT II POSTER
hydrology | 11 december 2024
Chandramauli Awasthi, Dol Raj Chalise, Hui Wang, S...
Climate change poses significant challenges for decision-making processes across a range of sectors. From the water resources planning and management ...
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Spatial Dependence of Floods over the Coterminous United States.
ADVANCING FLOOD CHARACTERIZATION, MODELING, AND COMMUNICATION V POSTER
hydrology | 10 december 2024
Kichul Bae, Jeongwoo Hwang, Sankar Arumugam
Establishing comprehensive flood-response policies requires understanding the spatial dependence of floods with similar magnitudes (i.e., return perio...
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Large-Scale Moisture Delivery Pathways Contributing to Winter Floods in the United States
HYDROMETEOROLOGIC EXTREMES: PREDICTION, SIMULATION, AND CHANGE IV POSTER
hydrology | 10 december 2024
Jeongwoo Hwang, Sankar Arumugam
Previous seminal studies on US flood hydroclimatology have recognized large-scale seasonal precipitation water from the lower atmosphere as a signific...
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The role of uncertainty in simulating streamflow using data- and process-driven models
INTEGRATING MACHINE LEARNING AND PHYSICS-BASED MODELS IN WATERSHED SCIENCE II ORAL
hydrology | 09 december 2024
Seon-Ho Kim, Jeongwoo Hwang, Naresh Devineni, Sank...
Deep Learning Models (DLM) have received significant attention because they outperform Process-Based Models (PBM) in simulating streamflow. The flexib...
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