English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Detection and attribution studies have played a major role in shapingcontemporary climate science and have provided key motivations supportingglobal climate policy negotiations. Their goal is to associate unambiguouslyobserved patterns of climate change with anthropogenic and natural forcingsacting as drivers through the so-called optimal fingerprinting method. We showhere how response theory for nonequilibrium systems provides the physical anddynamical foundations behind optimal fingerprinting for the climate changedetection and attribution problem, including the notion of causality used forattribution purposes. We clearly frame assumptions, strengths, and potentialpitfalls of the method. Additionally, we clarify the mathematical frameworkbehind the degenerate fingerprinting method that leads to early warningindicators for tipping points. Finally, we extend the optimal fingerprintingmethod to the regime of nonlinear response. Our findings indicate that optimalfingerprinting for detection and attribution can be applied to virtually anystochastic system undergoing time-dependent forcing.

Detecting and Attributing Change in Climate and Complex Systems: Foundations, Kolmogorov Modes, and Nonlinear Fingerprints