Jonathan Quebbeman, PhD, is focused on engineering applications and decision-making for systems and processes around water resources. His work includes the hydrologic cycle from precipitation analysis, synthetic weather generation, vegetation influences, micro-climate, soil moisture movement, transpiration, and runoff generation.
From a system operations perspective, Dr. Quebbeman utilizes hydrologic responses linked to system operations and management in both real-time and planning frameworks. He applies optimization techniques such as linear programming, dynamic programming, and heuristic techniques including genetic algorithms and reinforcement learning algorithms.
Within the hydropower domain, Dr. Quebbeman brings together hydrologic forecasting tools for development of ensembles used within operational decision-support frameworks for flood mitigation, drought hedging, generation optimization, and resource value management (e.g., recreational planning, habitat assessment, and ancillary services). His many years in both the consulting industry and academic world bring together a holistic view of water resources systems and management with advanced techniques for utilizing large and complex information in engineering and decision-making processes.