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Projected changes in extreme winds over Japan from a large-ensemble climate experiment


Citation

Mohd Safari, Muhammad Aslam and Nakaegawa, Tosiyuki (2026) Projected changes in extreme winds over Japan from a large-ensemble climate experiment. Journal of Environmental Management, 406. art. no. 129801. pp. 1-14. ISSN 0301-4797; eISSN: 1095-8630

Abstract

Extreme winds are a major climate hazard in Japan, yet their response to different levels of global warming is still not well quantified. This study investigates projected changes in daily maximum 10 m wind speeds using the d4PDF large-ensemble, which provides thousands of simulated years for the present climate and for +1.5 K, +2 K, and +4 K global warming levels. We focus on changes in hazard-relevant return levels at 311 land grid points across Japan. To represent physically distinct storm regimes, we adopt a seasonal piecewise extreme value framework. Block maxima are extracted separately for DJF, MAM, JJA, and SON and fitted with generalized extreme value (GEV) distributions using a probability integral transform estimator. The seasonal GEV models are then combined to derive annual 5-, 10-, 50-, and 100-year return levels for each grid and climate experiment, allowing us to quantify how contributions from typhoon-season and winter-season extremes change with warming. Present-day return levels show strong spatial and seasonal contrasts, with the highest values in summer and autumn over southern Japan, Pacific-facing coasts, and the Okinawa/Ryukyu region. Future changes are summarized as future-to-present ratios of annual return levels. For the 5-year return level, the signal is weak and mixed, with mean ratios close to 1.0 in all warming levels. In contrast, the 50- and 100-year return levels increase more clearly, with mean ratios of about 1.02–1.03 in +1.5 K, 1.04–1.05 in +2 K, and 1.08–1.09 in +4 K. The largest increases occur in already wind-exposed southern and coastal regions, highlighting a potential amplification of high-impact wind risk in a warmer climate.


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Additional Metadata

Item Type: Article
Subject: Environmental Engineering
Subject: Waste Management and Disposal
Subject: Management, Monitoring, Policy and Law
Divisions: Faculty of Science
Institute for Mathematical Research
DOI Number: https://doi.org/10.1016/j.jenvman.2026.129801
Publisher: Academic Press
Keywords: Climate change; D4pdf; Extreme winds; Hazard assessment; Piecewise extreme value modeling
Sustainable Development Goals (SDGs): SDG 13: Climate Action, SDG 11: Sustainable Cities and Communities, SDG 9: Industry, Innovation and Infrastructure
Depositing User: Ms. Siti Radziah Mohamed@mahmod
Date Deposited: 30 Jul 2026 02:18
Last Modified: 30 Jul 2026 02:18
Altmetrics: https://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.jenvman.2026.129801
URI: http://psasir.upm.edu.my/id/eprint/125952
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