Contextualizing contemporary seasonality variations in East Asian tropical cyclone landfalls with a multi-century historical baseline
Year: 2026
Type: article
Abstract: Paleoclimate records provide a critical long-term perspective on natural climate variability, essential for understanding contemporary climate variations. However, existing paleoclimate proxies lack sufficient spatial-temporal coverage for studying high-impact weather extremes like tropical cyclones (TCs). Here we introduce a multi-source framework that contextualizes the contemporary TC landfalls in East Asia against a multi-century baseline (1368-1911) reconstructed from historical documents. Leveraging pre-industrial and contemporary-era data, the analysis reveals that the relatively small shift toward earlier landfalls in the contemporary era (1946-2020) falls well within the range of fluctuations documented historically (1651-1900). Rather than indicating detectable anthropogenic changes, these results suggest the dominance of natural variability in modulating landfall timing. Our work also suggests consistent natural controls of TC timing in contemporary and pre-industrial eras. This consistency lends credibility to pre-industrial observational datasets and climate simulations, providing a robust template for assessing changes in the seasonality of high-impact extremes.
Authors: Gan Zhang, Kuanhui Elaine Lin, Dan Fu, Thomas Knutson, Jörg Franke, Wan-Ling Tseng
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
Estimated APC paid: $3,590
Awards: Decadal Variability of Daily Weather (DVDW), Collaborative Research: Understanding the Links between Tropical Cyclones and Tropical Circulation under Climate Change through Idealized Coupled Climate Modeling, Collaborative Research: Enabling Cloud-Permitting and Coupled Climate Modeling via Nonhydrostatic Extensions of the CESM Spectral Element Dynamical Core, Understanding the Role of Mesoscale Atmosphere-Ocean Interactions in Seasonal-to-Decadal Climate Prediction, Climate Change and Societal Impact Revealed by Digitized Records in Chinese Historical Documents Based on Sier and Reaches Databases( I )
OpenAlex ID: W7130831001
