Compound Climate Risk: Diagnosing Clustered Regional Flooding at Inter-Annual and Longer Time Scales

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dc.citation.articleNumber67
dc.citation.issueNumber3
dc.citation.journalTitleHydrology
dc.citation.volumeNumber10
dc.contributor.authorAmonkar, Yash
dc.contributor.authorDoss-Gollin, James
dc.contributor.authorLall, Upmanu
dc.date.accessioned2023-04-25T14:48:10Z
dc.date.available2023-04-25T14:48:10Z
dc.date.issued2023
dc.description.abstractThe potential for extreme climate events to cluster in space and time has driven increased interest in understanding and predicting compound climate risks. Through a case study on floods in the Ohio River Basin, we demonstrated that low-frequency climate variability could drive spatial and temporal clustering of the risk of regional climate extremes. Long records of annual maximum streamflow from 24 USGS gauges were used to explore the regional spatiotemporal patterns of flooding and their associated large-scale climate modes. We found that the dominant time scales of flood risk in this basin were in the interannual (6–7 years), decadal (11–13 years), and secular bands and that different sub-regions within the Ohio River Basin responded differently to large-scale forcing. We showed that the leading modes of streamflow variability were associated with ENSO and secular trends. The low-frequency climate modes translated into epochs of increased and decreased flood risk with multiple extreme floods or the absence of extreme floods, thus informing the nature of compound climate-induced flood risk. A notable finding is that the secular trend was associated with an east-to-west shift in the flood incidence and the associated storm track. This is consistent with some expectations of climate change projections.
dc.identifier.citationAmonkar, Yash, Doss-Gollin, James and Lall, Upmanu. "Compound Climate Risk: Diagnosing Clustered Regional Flooding at Inter-Annual and Longer Time Scales." <i>Hydrology,</i> 10, no. 3 (2023) MDPI: https://doi.org/10.3390/hydrology10030067.
dc.identifier.digitalhydrology-10-00067-v3
dc.identifier.doihttps://doi.org/10.3390/hydrology10030067
dc.identifier.urihttps://hdl.handle.net/1911/114840
dc.language.isoeng
dc.publisherMDPI
dc.rightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleCompound Climate Risk: Diagnosing Clustered Regional Flooding at Inter-Annual and Longer Time Scales
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpublisher version
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