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July 1, 2025Meteorological ApplicationsOpen Access

Balancing Informativity and Predictability in Circulation Type Forecasts: A Case Study of Energy Demand in Great Britain

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Authors

KSKristian StrømmenHCHannah M. ChristensenHBHannah Bloomfield

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Overview

Analysis finds an optimal approach for balancing circulation types in energy demand forecasts, suggesting insights for Great Britain.

Key Points

  • Optimal balancing of informativity and predictability improves forecasting accuracy for energy demand in Great Britain.
  • The framework allows for the integration of 30 weather patterns with a simpler two-state model based on the North Atlantic Oscillation.
  • Observational analysis utilizes information-theoretic principles to enhance forecasting across varying lead times in energy demand.
  • This approach highlights the trade-off between complex and simple models in effective weather forecasting.

Cite This Study

Strømmen et al. (2025) studied this question.

synapsesocial.com/papers/68af5f1ead7bf08b1eae2527https://doi.org/10.1002/met.70078
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