Get Started
Home
Topics
Search
Library
Research questionHow can we select the best probabilistic weather forecast model for a specific downstream decision?Standard forecast metrics compare predictions with observations, but that relationship may not reflect how useful a forecast is for an actual decision. Model rankings can change across weather-dependent tasks even when forecast-level performance appears similar.
AI
Evaluation & Benchmarks
Machine Learning
Research Paper
Statistical Machine Learning
Latest papersRecent research connected to this question, newest first.Forecast Skill Is Not Decision Skill: Evidence from Weather-Dependent Decision TasksThe evidence concerns decision-level evaluation of a machine-learning model and a classical numerical weather prediction model across several weather-dependent tasks. It supports task-specific model selection but does not establish a universal ranking across models or decisions.research paper · Sep 4, 2026
Related questions
How can AI weather models produce high-resolution global forecasts without relying solely on analysis data?How should forecasting-model selection adapt to demand patterns, available history, and forecast horizon?How can probabilistic weather downscaling recover site-specific conditions from coarse grids despite unresolved terrain and land-surface effects?How can we improve weather forecasts two to six weeks ahead despite rapidly degrading skill?