Probabilistic projections of the stability of small tidal inlets at century time scale using a reduced complexity approach

Abstract Climate change is widely expected to affect the thousands of small tidal inlets (STIs) dotting the global coastline. To properly inform effective adaptation strategies for the coastal areas in the vicinity of these inlets, it is necessary to know the temporal evolution of inlet stability ov...

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Autores principales: Trang Minh Duong, Roshanka Ranasinghe, David P. Callaghan
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/1fafbc61a3e44415a3bd4ff0afe0ec9e
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spelling oai:doaj.org-article:1fafbc61a3e44415a3bd4ff0afe0ec9e2021-11-28T12:19:05ZProbabilistic projections of the stability of small tidal inlets at century time scale using a reduced complexity approach10.1038/s41598-021-01945-52045-2322https://doaj.org/article/1fafbc61a3e44415a3bd4ff0afe0ec9e2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01945-5https://doaj.org/toc/2045-2322Abstract Climate change is widely expected to affect the thousands of small tidal inlets (STIs) dotting the global coastline. To properly inform effective adaptation strategies for the coastal areas in the vicinity of these inlets, it is necessary to know the temporal evolution of inlet stability over climate change time scales (50–100 years). As available numerical models are unable to perform continuous morphodynamic simulations at such time scales, here we develop and pilot a fast, probabilistic, reduced complexity model (RAPSTA – RAPid assessment tool of inlet STAbility) that can also quantify forcing uncertainties. RAPSTA accounts for the key physical processes governing STI stability and for climate change driven variations in system forcing. The model is very fast, providing a 100 year projection in less than 3 seconds. RAPSTA is demonstrated here at 3 STIs, representing the 3 main Types of STIs; Permanently open, locationally stable inlet (Type 1); Permanently open, alongshore migrating inlet (Type 2); Seasonally/Intermittently open, locationally stable inlet (Type 3). Model applications under a high greenhouse gas emissions scenario (RCP 8.5), accounting for forcing uncertainties, show that while the Type 1 STI will not change type over the twenty-first century, the Type 2 inlet may change into a more unstable Type 3 system around mid-century, and the Type 3 STI may change into a less unstable Type 2 system in about 20 years from now, further changing into a stable Type 1 STI around mid-century. These projections underscore the need for future adaptation strategies to remain flexible.Trang Minh DuongRoshanka RanasingheDavid P. CallaghanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Trang Minh Duong
Roshanka Ranasinghe
David P. Callaghan
Probabilistic projections of the stability of small tidal inlets at century time scale using a reduced complexity approach
description Abstract Climate change is widely expected to affect the thousands of small tidal inlets (STIs) dotting the global coastline. To properly inform effective adaptation strategies for the coastal areas in the vicinity of these inlets, it is necessary to know the temporal evolution of inlet stability over climate change time scales (50–100 years). As available numerical models are unable to perform continuous morphodynamic simulations at such time scales, here we develop and pilot a fast, probabilistic, reduced complexity model (RAPSTA – RAPid assessment tool of inlet STAbility) that can also quantify forcing uncertainties. RAPSTA accounts for the key physical processes governing STI stability and for climate change driven variations in system forcing. The model is very fast, providing a 100 year projection in less than 3 seconds. RAPSTA is demonstrated here at 3 STIs, representing the 3 main Types of STIs; Permanently open, locationally stable inlet (Type 1); Permanently open, alongshore migrating inlet (Type 2); Seasonally/Intermittently open, locationally stable inlet (Type 3). Model applications under a high greenhouse gas emissions scenario (RCP 8.5), accounting for forcing uncertainties, show that while the Type 1 STI will not change type over the twenty-first century, the Type 2 inlet may change into a more unstable Type 3 system around mid-century, and the Type 3 STI may change into a less unstable Type 2 system in about 20 years from now, further changing into a stable Type 1 STI around mid-century. These projections underscore the need for future adaptation strategies to remain flexible.
format article
author Trang Minh Duong
Roshanka Ranasinghe
David P. Callaghan
author_facet Trang Minh Duong
Roshanka Ranasinghe
David P. Callaghan
author_sort Trang Minh Duong
title Probabilistic projections of the stability of small tidal inlets at century time scale using a reduced complexity approach
title_short Probabilistic projections of the stability of small tidal inlets at century time scale using a reduced complexity approach
title_full Probabilistic projections of the stability of small tidal inlets at century time scale using a reduced complexity approach
title_fullStr Probabilistic projections of the stability of small tidal inlets at century time scale using a reduced complexity approach
title_full_unstemmed Probabilistic projections of the stability of small tidal inlets at century time scale using a reduced complexity approach
title_sort probabilistic projections of the stability of small tidal inlets at century time scale using a reduced complexity approach
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/1fafbc61a3e44415a3bd4ff0afe0ec9e
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AT roshankaranasinghe probabilisticprojectionsofthestabilityofsmalltidalinletsatcenturytimescaleusingareducedcomplexityapproach
AT davidpcallaghan probabilisticprojectionsofthestabilityofsmalltidalinletsatcenturytimescaleusingareducedcomplexityapproach
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