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...

Full description

Bibliographic Details
Authors: Gelder, Gino de, Hedjazian, Navid, Husson, Laurent, Bodin, Thomas, Pastier, Anne-Morwenn, Boucharat, Yannick, Pedoja, Kevin, Solihuddin, Tubagus, Yudawati Cahyarini, Sri
Format: article
Status:Published version
Publication Date:2025
Country:España
Institution:Consejo Superior de Investigaciones Científicas (CSIC)
Repository:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:dnet:digitalcsic_::ed5bc130648fcaf64658271a237b1fbb
Online Access:http://hdl.handle.net/10261/429135
Access Level:Open access
Keyword:http://metadata.un.org/sdg/13
Take urgent action to combat climate change and its impacts
Description
Summary: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)

Similar Items