Fig. 2: Climate insights for flexible adaptation measures and decision-making. | npj Climate and Atmospheric Science

Fig. 2: Climate insights for flexible adaptation measures and decision-making.

From: Non-linear dynamical approaches for characterizing multi-sector climate impacts under irreducible uncertainty

Fig. 2

Incorporating multiple initial condition simulations within conventional climate modeling frameworks, combined with nonlinear dynamical approaches, enables robust insights into climate system behavior from Earth system and global climate models. The framework accounts for uncertainty from model spread (reducible), internal variability (irreducible), and emission scenarios (deep uncertainty). Nonlinear dynamical tools complement and, in some cases, enhance predictive insights from conventional statistical and machine learning methodologies. These advancements improve impact assessments and inform flexible adaptation strategies. They also support robust decision-making and policy formulation aimed at enhancing climate resilience under irreducible uncertainty.

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