Fractal Analysis of Net Radiative Flux over AMOC and ENSO Regions and Globally

For the first time, fractal analysis reveals global and regional instability trends in net Radiative Flux, aligning withobserved climate disruptions. In particular, the AMOC geolocation may be close to a climate tipping point. Theurgency of acting on these findings to address climate risks is now critical. This study provides a novel application of fractal analysis to net radiative flux data, which has implications forboth climate modeling and policy-making. It provides a foundational look at the use of fractal analysis in detectingearly warning signals of climate instability. The time series data at the heart of the study is net Radiative Flux, thebalance of incoming solar radiation and outgoing heat. It is a direct correlation with global warming.The implications are profound: understanding what the fractal patterns can tell us could enable earlierinterventions to address climate risks regionally, as well as globally. The results show that there is a progressionof climate dynamics toward chaotic and potentially irreversible states. The fractal analysis was performed onrecent data from September 2019 to September 2024, sourced from the NASA Merra-2 project providingcomprehensive atmospheric reanalysis data. It is a significant part of NASA's Earth Science mission and isdesigned to offer a high-quality, long-term record of global atmospheric conditions. Further investigation requires data fusion with additional data sets and other types of analysis to shed light on thetiming and direction of the climate changes being experienced across the globe. Given the critical nature ofchanging climate dynamics, additional analysis is urgently needed to target critical regions with effective action.