الملخص
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Machine-learning models for physical systems are currently evaluated primarily through errors between predicted and reference states and, increasingly, through tests of physical consistency. These metrics assess whether predictions are accurate and satisfy selected physical requirements, but provide limited insight into whether learned trajectories reproduce the underlying dynamics. Domain experts examine such relationships through physical representations that expose relevant processes, interactions, and responses, but these analyses are often separated from typical machine-learning evaluation. We introduce a practical framework for evaluating dynamical fidelity through predictive structure in physical representation spaces. Experts define the representations, while reference trajectories determine which relationships are predictive and retained as evaluation tests. We demonstrate the approach in atmospheric forecasting using ERA5 representations of planetary-wave activity and Northern Annular Mode evolution, and evaluate Pangu-Weather, GraphCast, and FengWu. The models exhibit distinct departures from reference predictive structure that are not reflected by conventional forecast errors. The framework thereby turns domain-expert representations into systematic tests of learned physical dynamics without prescribing the relationships in advance.
الكلمات المفتاحية
الموضوع
بيانات النشر
- المجلة
- غير متاح
- وصول مفتوح
- وصول مفتوح أخضر
اقتبس هذه المقالة
APA 7
Lassen, O. B., Boger, J. P. D. S., Driscoll, S., Thomson, S. I., Schemm, S., Rodrigues, F., & Pereira, F. C. (2026). تقييم الصدق الديناميكي عبر البنية التنبؤية في التمثيلات الفيزيائية. https://omanscience.com/ar/articles/evaluating-dynamical-fidelity-through-predictive-structure-in-physical-representations
MLA 9
Lassen, Oskar Bohn, et al. "تقييم الصدق الديناميكي عبر البنية التنبؤية في التمثيلات الفيزيائية." https://omanscience.com/ar/articles/evaluating-dynamical-fidelity-through-predictive-structure-in-physical-representations.
شيكاغو (المؤلف–التاريخ)
Lassen, Oskar Bohn, Joao Paulo de Souza Boger, Simon Driscoll, Stephen I. Thomson, Sebastian Schemm, Filipe Rodrigues, and Francisco C. Pereira. 2026. "تقييم الصدق الديناميكي عبر البنية التنبؤية في التمثيلات الفيزيائية." https://omanscience.com/ar/articles/evaluating-dynamical-fidelity-through-predictive-structure-in-physical-representations.
هارفارد
Lassen, O. B., Boger, J. P. D. S., Driscoll, S., Thomson, S. I., Schemm, S., Rodrigues, F. and Pereira, F. C. (2026) 'تقييم الصدق الديناميكي عبر البنية التنبؤية في التمثيلات الفيزيائية', Available at: https://omanscience.com/ar/articles/evaluating-dynamical-fidelity-through-predictive-structure-in-physical-representations.
فانكوفر
Lassen OB, Boger JPDS, Driscoll S, Thomson SI, Schemm S, Rodrigues F, et al. تقييم الصدق الديناميكي عبر البنية التنبؤية في التمثيلات الفيزيائية. https://omanscience.com/ar/articles/evaluating-dynamical-fidelity-through-predictive-structure-in-physical-representations
IEEE
O. B. Lassen, J. P. D. S. Boger, S. Driscoll, S. I. Thomson, S. Schemm, F. Rodrigues, and F. C. Pereira, "تقييم الصدق الديناميكي عبر البنية التنبؤية في التمثيلات الفيزيائية," https://omanscience.com/ar/articles/evaluating-dynamical-fidelity-through-predictive-structure-in-physical-representations.