Abstract
Hybrid modelling using machine learning can help improve the robustness and comprehensiveness of economic impact assessments of climate change by combining data with theory, bridging silos across social, economic, and financial systems, and linking micro- and macroeconomic scales.
Cite
CITATION STYLE
APA
Orlov, A., & Sillmann, J. (2026, December 1). Improving economic impact assessment of climate change with machine learning. Nature Communications . Nature Research. https://doi.org/10.1038/s41467-026-73956-7
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