Citation
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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Official URL or Download Paper: https://linkinghub.elsevier.com/retrieve/pii/S0301...
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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 |
| Statistic Details: | View Download Statistic |
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