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Risk-based versus storyline approaches for global warming impact assessment on basin-averaged extreme rainfall

A case study for Typhoon Hagibis in eastern Japan

Bibliographic Data

ID15544110
AuthorsTomohiro Tanaka (0000-0002-8884-9089, Kyoto Katsura Hospital, corresponding author), Hiroaki Kawase (0000-0003-4865-791X, Japan Meteorological Agency), Yukiko Imada (0000-0002-1270-8335, Japan Meteorological Agency), Yuki Kawai (0000-0003-2643-6294, Mitsubishi UFJ Research & Consulting (Japan)), Satoshi Watanabe (0000-0003-3917-0894, Kyoto University)
Year2023
Volume18
Issue5
Pages054010-054010
Publication date2023-04-12
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/accc24
OpenAlexW4365144987
LanguageEN
Citations received1
References cited27

Two methods exist to address the degree to which past extreme events and associated disasters will be intensified due to climate change: storyline approaches and risk-based approaches. However, the risk-based approach applied to weather similar to the target event (typhoons, a stationary weather front,...etc) becomes theoretically similar to the storyline approach. We examine this theory for the climate change impact of a real event, Typhoon Hagibis, which caused devastating flood damage to eastern Japan in 2019, while focusing on basin-averaged accumulated rainfall (BAAR) in major eastern river basins. A risk-based approach was conducted to determine the future change of BAAR by calculating the quantile change corresponding to Hagibis from the probability distribution of typhoon-induced events in a large ensemble climate simulation dataset database for Policy Decision-making for Future climate change (past, +2K and +4K future climates). A storyline approach for Typhoon Hagibis was realized using a pseudo global warming (PGW) experiment with a 5 km non-hydrostatic model. The projected BAAR in the two approaches were consistent for all target basins, supporting the robustness of the calculated changes in extreme catchment precipitation. This presents an important practical benefit: one can assess future climate change impact on a past symbolic event using either PGW experiments or large ensemble climate projections for the target weather

Climate change · Climate change scenario · Climate model · Climatology · Econometrics · Extreme weather · Flood myth · Geography · Global warming · Meteorology · Precipitation · Quantile · Structural basin · Typhoon · Climate variability and models · Environmental Science · Flood Risk Assessment and Management · Mathematics · Tropical and Extratropical Cyclones Research · Geology

  • Challenges and opportunities in climate risk assessment

    Open Access•Oscar Higuera Roa, Michaela Bachmann et al.•Environmental Research Letters•2025

  • Storylines

    Open Access•Theodore G Shepherd, Edith Boyd et al.•Climatic Change•2018

  • Changes in precipitation frequency and intensity in the vicinity of Taiwan

    Open Access•Jien-Yi Tu, Chia Chou•Environmental Research Letters•2013

  • Simultaneous flood risk analysis and its future change among all the 109 class-A river basins in Japan using a large ensemble climate simulation database d4PDF

    Open Access•Tomohiro Tanaka, Keita Kobayashi et al.•Environmental Research Letters•2021

  • Attribution of the record high Central England temperature of 2014 to anthropogenic influences

    Open Access•Andrew D King, Geert Jan van Oldenborgh et al.•Environmental Research Letters•2015

Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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