The case for probabilistic forecasting in hydrology

2001/08/01 by Roman Krzysztofowicz · 5 citations
Earth and Planetary Sciences · Environmental Science · Mathematics · #Artificial intelligence #Climatology #Compendium #Computer science #Environmental science #Geography #Geology #Hydrological modelling #Hydrology (agriculture) #Hydrology and Drought Analysis #Hydrology and Watershed Management Studies #Mathematics #Meteorological Phenomena and Simulations #Operations research #Probabilistic forecasting #Probabilistic logic

paper · doi:10.1016/s0022-1694(01)00420-6

openalex publication_date 2001/08/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Cited by

• Deep Learning Emulator of Mass Flow Runout (Model Code and Weights)
• HydroDiffusion: Diffusion-Based Probabilistic Streamflow Forecasting with a State Space Backbone
• Water Level Forecast Validation Associated with Forecasted Coastal Flooding Events in Annapolis, Maryland
• Synergistic Integration of Flood Inundation Modeling Methods: A Review of Computational, Data‐Driven, Observational and Experimental, and Conceptual Models
• Reliable and Adaptive Probabilistic Forecasting for Event-Driven Water-Quality Time Series Using a Gated Hybrid-Mixture Density Network. [europepmc]