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Complexity vs. Efficiency: Are Full-Structure Copula Models Worth the Cost in Multivariate Hydrological Simulation?
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DOI：10.1016/j.envsoft.2026.107083.png)
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Abstract
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• Three copula-based frameworks are systematically evaluated using 3D and 4D hydrological datasets. • Increased structural complexity does not automatically translate into improved GoF across all scenarios. • BMA-Vine provides the most robust and consistent performance, particularly for complex dependence structures characterized by asymmetry or tail dependence. • Model selection should balance structural flexibility, data characteristics, and computational efficiency.
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