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

ABSTRACT: Internal climate variability (ICV) remains a major source of uncertainty in climate projections, complicating impact assessments across critical sectors, especially at stakeholder-relevant scales. Given that ICV emerges from the nonlinear interactions of the climate system, we argue that nonlinear dynamical (NLD) approaches can improve its characterization, providing physically interpretable insights that strengthen adaptation strategies and support multisector decision-making. However, despite their suitability for such problems, NLD approaches remain largely underutilized in the analysis of initial condition large ensembles (LEs). We argue that a diverse suite of NLD approaches offers a promising pathway for systematically extracting robust insights from LEs. If effectively applied and s

SUBMITTER: Mawalagedara R 

PROVIDER: S-EPMC12474537 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature