In this paper we explore and extend the state of the art for understanding the skill and utility of early warnings of critical transitions (tipping points) in forced nonlinear systems. We highlight some of the challenges and opportunities of transforming estimates of a dynamics-based early warning system, based on trends in stability or resilience into forecasts with high skill. We highlight the importance of (a) quantifying consequences of possible actions in response to warnings that may be false negatives or positives (b) considering finite time horizon predictions to give verifiable predictions (c) assumptions necessary for valid extrapolations of trends. We evaluate approaches to improving the skill and utility of the forecast.
The potential of crossing climate tipping points (TP) has reached the attention of many researchers and the general public. On the one hand, the basis for this concern is strengthening, with simulations showing that abrupt transitions might occur even for moderate emission scenarios. On the other hand, our understandin...
This study reflects on the probability of observing an extreme event of interest within a finite dataset, whether derived from observations or model simulations, to inform risk assessment or climate adaptation efforts. To do so, we adopt the concept of engineering reliability, which is defined as the probability that...
E. Ragno, A. Aghakouchak· International Journal of Dis...· 0 citations
This study examines the role of causal smoothing in dynamical system-based financial forecasting by integrating an asymmetric backward Savitzky-Golay (SG) filter into the new Price Reversion Model (nPRM) and comparing it with conventional moving-average preprocessing on the S&P 500 index. Despite the theoretical advant...
Tsung-Jui-Chiang Lin, Yong-Shiuan Lee, T. Shieh· IEEE Conference on Computati...· 0 citations
Understanding inflation expectations is central to monetary policy analysis, particularly in emerging economies, where uncertainty and structural change can amplify forecasting challenges. Surveys of professional forecasters increasingly rely on histogram-based density forecasts to capture not only point predictions bu...
H. Zárate-Solano· Revista de Economía del Rosa...· 0 citations
Early warning indicators (EWIs) have been developed in an attempt to forewarn of approaching tipping points. In the case of bifurcation-induced tipping (Ashwin et al 2025 Proc. R. Soc. A 481 20250405), the most commonly used EWIs are related to the phenomenon of ‘Critical Slowing Down (CSD)’, which involves an increase...
Isobel M. Parry, Paul D. L. Ritchie, Peter M. Cox· Journal of Physics: Complexi...· 0 citations
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