Bayesian reconstruction of sea level and hydroclimates from coastal landform inversion: application to Santa Cruz (US) and Gulf of Corinth

18 pages, 7 figures, supplement https://doi.org/10.5194/esurf-13-941-2025-supplement.-- Data availability: All data used in this study are freely available without restriction. The input topographic profiles and models can all be accessed at https://github.com/ginodegelder/Rosetta/tree/erosive_only...

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Autores: Gelder, Gino de, Hedjazian, Navid, Husson, Laurent, Bodin, Thomas, Pastier, Anne-Morwenn, Boucharat, Yannick, Pedoja, Kevin, Solihuddin, Tubagus, Yudawati Cahyarini, Sri
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:dnet:digitalcsic_::ed5bc130648fcaf64658271a237b1fbb
Acceso en línea:http://hdl.handle.net/10261/429135
Access Level:acceso abierto
Palabra clave:http://metadata.un.org/sdg/13
Take urgent action to combat climate change and its impacts
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spelling Bayesian reconstruction of sea level and hydroclimates from coastal landform inversion: application to Santa Cruz (US) and Gulf of CorinthGelder, Gino deHedjazian, NavidHusson, LaurentBodin, ThomasPastier, Anne-MorwennBoucharat, YannickPedoja, KevinSolihuddin, TubagusYudawati Cahyarini, Srihttp://metadata.un.org/sdg/13Take urgent action to combat climate change and its impacts18 pages, 7 figures, supplement https://doi.org/10.5194/esurf-13-941-2025-supplement.-- Data availability: All data used in this study are freely available without restriction. The input topographic profiles and models can all be accessed at https://github.com/ginodegelder/Rosetta/tree/erosive_only (last access: 9 September 2025) or are available from the corresponding author upon request.-- Code availability: The marine terrace inversion code used in this study can be found at https://github.com/ginodegelder/Rosetta (last access: 9 September 2025)Quantifying Quaternary sea-level changes and hydroclimatic conditions is an important challenge, given their intricate relation with paleo-climate, ice-sheets, and geodynamics. The world's coastlines provide an enormous geomorphologic archive, from which forward landscape evolution modeling studies have shown their potential to unravel paleo sea levels, albeit at the cost of assumptions on the genesis of these landforms. We take a next step, by applying a Bayesian approach to jointly invert the geometries of multiple coastal terrace sequences to paleo sea- and lake-level variations and extract past hydroclimatic conditions. Using a Markov chain Monte Carlo sampling method, we first test our approach on synthetic marine terrace profiles as proof of concept and then benchmark our model on an observed marine terrace sequence in Santa Cruz (US). We successfully reproduce observed sequence morphologies and simultaneously obtain probabilistic estimates for past sea-level variations, as well as for other model parameters, such as uplift and erosion rates. When applied to the semi-isolated Gulf of Corinth (Greece), our method allows the geomorphic Rosetta stone to be deciphered at an unprecedented resolution, revealing the connectivity between the Lake/Gulf of Corinth and the open sea for different hydroclimatic conditions. Eustatic sea levels and changing sill depths drive marine and transitional phases during interglacial and interstadial periods, whereas wetter and drier hydroclimates, respectively, over- and underfill Lake Corinth during interstadial and glacial periodsThis research has been supported by the EU Horizon 2020 (grant no. 716542)This work contributes to the Institut de Ciències del Mar "Severo Ochoa Centre of Excellence" accreditation CEX2024-001494-S funded by AEI 10.13039/501100011033 of the Spanish Ministry of Science and InnovationPeer reviewedCopernicus PublicationsAgencia Estatal de Investigación (España)European CommissionConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202620262025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/429135reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/EC/H2020/716542https://doi.org/10.5194/esurf-13-941-2025Síinfo:eu-repo/semantics/openAccessoai:dnet:digitalcsic_::ed5bc130648fcaf64658271a237b1fbb2026-05-22T06:33:51Z
dc.title.none.fl_str_mv Bayesian reconstruction of sea level and hydroclimates from coastal landform inversion: application to Santa Cruz (US) and Gulf of Corinth
title Bayesian reconstruction of sea level and hydroclimates from coastal landform inversion: application to Santa Cruz (US) and Gulf of Corinth
spellingShingle Bayesian reconstruction of sea level and hydroclimates from coastal landform inversion: application to Santa Cruz (US) and Gulf of Corinth
Gelder, Gino de
http://metadata.un.org/sdg/13
Take urgent action to combat climate change and its impacts
title_short Bayesian reconstruction of sea level and hydroclimates from coastal landform inversion: application to Santa Cruz (US) and Gulf of Corinth
title_full Bayesian reconstruction of sea level and hydroclimates from coastal landform inversion: application to Santa Cruz (US) and Gulf of Corinth
title_fullStr Bayesian reconstruction of sea level and hydroclimates from coastal landform inversion: application to Santa Cruz (US) and Gulf of Corinth
title_full_unstemmed Bayesian reconstruction of sea level and hydroclimates from coastal landform inversion: application to Santa Cruz (US) and Gulf of Corinth
title_sort Bayesian reconstruction of sea level and hydroclimates from coastal landform inversion: application to Santa Cruz (US) and Gulf of Corinth
dc.creator.none.fl_str_mv Gelder, Gino de
Hedjazian, Navid
Husson, Laurent
Bodin, Thomas
Pastier, Anne-Morwenn
Boucharat, Yannick
Pedoja, Kevin
Solihuddin, Tubagus
Yudawati Cahyarini, Sri
author Gelder, Gino de
author_facet Gelder, Gino de
Hedjazian, Navid
Husson, Laurent
Bodin, Thomas
Pastier, Anne-Morwenn
Boucharat, Yannick
Pedoja, Kevin
Solihuddin, Tubagus
Yudawati Cahyarini, Sri
author_role author
author2 Hedjazian, Navid
Husson, Laurent
Bodin, Thomas
Pastier, Anne-Morwenn
Boucharat, Yannick
Pedoja, Kevin
Solihuddin, Tubagus
Yudawati Cahyarini, Sri
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Agencia Estatal de Investigación (España)
European Commission
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv http://metadata.un.org/sdg/13
Take urgent action to combat climate change and its impacts
topic http://metadata.un.org/sdg/13
Take urgent action to combat climate change and its impacts
description 18 pages, 7 figures, supplement https://doi.org/10.5194/esurf-13-941-2025-supplement.-- Data availability: All data used in this study are freely available without restriction. The input topographic profiles and models can all be accessed at https://github.com/ginodegelder/Rosetta/tree/erosive_only (last access: 9 September 2025) or are available from the corresponding author upon request.-- Code availability: The marine terrace inversion code used in this study can be found at https://github.com/ginodegelder/Rosetta (last access: 9 September 2025)
publishDate 2025
dc.date.none.fl_str_mv 2025
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/429135
url http://hdl.handle.net/10261/429135
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/EC/H2020/716542
https://doi.org/10.5194/esurf-13-941-2025
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Copernicus Publications
publisher.none.fl_str_mv Copernicus Publications
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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