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...
| Autores: | , , , , , , , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:dnet:digitalcsic_::ed5bc130648fcaf64658271a237b1fbb |
| Acesso em linha: | http://hdl.handle.net/10261/429135 |
| Access Level: | acceso abierto |
| Palavra-chave: | http://metadata.un.org/sdg/13 Take urgent action to combat climate change and its impacts |
| Resumo: | 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) |
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