research
Weather Closures Get an Agentic Workbench
Across ten models, iterative feedback improved median warm-rain rollout error for eight; only two of 100 unattended agent closures slightly beat the best retuned physical scheme.
Summary
Across ten models, iterative feedback improved median warm-rain rollout error for eight; only two of 100 unattended agent closures slightly beat the best retuned physical scheme.
Agents synthesized literature and wrote differentiable, mass-conserving JAX parameterizations, but unattended quality varied sharply by model and scheme. Expert guidance remained important.
Why it matters
Across ten models, iterative feedback improved median warm-rain rollout error for eight; only two of 100 unattended agent closures slightly beat the best retuned physical scheme.
Limits and context
No additional limitation was separately recorded.
Key claims
Across ten models, iterative feedback improved median warm-rain rollout error for eight; only two of 100 unattended agent closures slightly beat the best retuned physical scheme.
Evidence: source-2026-11-03-019
Sources
- arXiv preprint 2611.03543, original v1arXiv · primary research
Corrections
No corrections have been recorded for this story.