{
  "abstract": "Submarine calderas are far less documented than their subaerial counterparts, yet recent events highlight their potential for impactful geohazards. Their detection has been limited by the scarcity of high-resolution bathymetry data. Here we apply a hybrid framework to the low-resolution but globally available General-Bathymetric-Chart-of-the-Ocean, combining an automated algorithm for detecting depressions on the seafloor, expert (user-based) classification, and Principal Component Analysis validation to systematically identify previously undocumented submarine calderas. We identify 78 calderas spanning a wide range of water depths (to 5,600 m), diameters (to 20 km), and tectonic settings (divergent, convergent, intraplate), of which only five were previously known. A sensitivity test shows that under-detection of known calderas is largely associated with low circularity indexes ( < 50%). Despite this limitation, our dataset fills a major observational gap and provides a reproducible, upgradeable framework for submarine volcano characterisation, underscoring the need to incorporate submarine calderas into future global volcanic assessments.",
  "abstract_shown": true,
  "affiliations": [
    "Géosciences Paris Saclay (GEOPS), Université Paris-Saclay",
    "Department of Physics, University of Toronto",
    "Earth Observatory of Singapore, Nanyang Technological University",
    "Centre for Ore Deposit and Earth Sciences (CODES) and School of Natural Sciences, University of Tasmania"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Andrea Verolino"
    },
    {
      "affs": [
        1
      ],
      "name": "Christopher Lee"
    },
    {
      "affs": [
        2
      ],
      "name": "Susanna F. Jenkins"
    },
    {
      "affs": [
        3
      ],
      "name": "Martin Jutzeler"
    },
    {
      "affs": [
        2
      ],
      "name": "Adam D. Switzer"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/627sr6x7132kv.bib",
  "cited_by": 0,
  "doi": "10.1038/s43247-026-03779-3",
  "fulltext_url": "https://doi.org/10.1038/s43247-026-03779-3",
  "id": "627sr6x7132kv",
  "issns": [
    "2662-4435"
  ],
  "landing_url": "https://doi.org/10.1038/s43247-026-03779-3",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "lcc",
      "GE1-350"
    ],
    [
      "lcc",
      "QE1-996.5"
    ],
    [
      "openalex",
      "1907|Geological and Geophysical Studies"
    ]
  ],
  "openalex": "W7167071894",
  "pdf_url": "https://www.nature.com/articles/s43247-026-03779-3_reference.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-07-01",
  "publisher": "Nature Portfolio",
  "ris": "https://research.draconitic.com/paper/627sr6x7132kv.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:46:24Z",
      "native_id": "866476cba4524478ab06a19937c4e760",
      "source": "doaj",
      "url": "https://doi.org/10.1038/s43247-026-03779-3"
    }
  ],
  "subjects": [
    {
      "field": "earth",
      "origin": "openalex:1907|Geological and Geophysical Studies",
      "subfield": "geology-geochemistry"
    }
  ],
  "title": "A semi-automated framework for global detection of previously undocumented submarine calderas",
  "title_text": "A semi-automated framework for global detection of previously undocumented submarine calderas",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T13:46:24Z",
  "url": "https://research.draconitic.com/paper/627sr6x7132kv",
  "venue": "Communications Earth & Environment",
  "versions": []
}