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#weather-forecasting

3 curated events
papersTODAY 04:00 UTC

Aries: A Proprietary Medium-Range Weather Prediction Model for the Energy Industry

A new arXiv preprint introduces Aries, a machine-learned model that produces medium-range weather forecasts tailored to the energy sector. The authors note that weather prediction was traditionally handled by national meteorological agencies, but recent machine-learning advances have opened the field to other developers. The model targets operational and planning use cases where energy companies depend on multi-day forecasts.

weather-forecasting/energy/arxiv/ml-models
papersTODAY 04:00 UTC

Online Reinforcement Learning Applied Inside Met Office Unified Model

A study from the Met Office pairs its Unified Model with a distributed reinforcement-learning setup so that agents can be trained while the numerical weather model runs. The work targets machine-learned corrections that stay stable as the underlying forecast model evolves, rather than being trained offline on frozen data. The authors describe the coupling architecture that lets model and agent processes communicate across distributed infrastructure.

reinforcement-learning/weather-forecasting/simulation/distributed
papersSEP 11 04:00 UTC

Study evaluates machine learning weather models in Northern Norway

A new arXiv preprint assesses how machine learning weather prediction models perform in Northern Norway, a region with narrow fjords and difficult terrain where forecasts are notoriously hard. While such models have shown strong results on global reanalysis benchmarks, the authors examine whether that skill holds up in this demanding local setting. The work contributes a station-based evaluation framework for comparing these models in operational conditions.

weather-forecasting/benchmarks/machine-learning/arxiv