Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 56 min ago
Peer-reviewedLicence not statedJournal of Physical Oceanography

A Generative AI Framework for Inferring Consistent Ocean Statistics at Depth Using Sea Surface Data

  1. 1Massachusetts Institute of Technology, Cambridge, Massachusetts
  2. 2California Institute of Technology, Pasadena, California
  3. 3Aeolus Labs, San Francisco, California

Related

  1. EnScale: Temporally‐Consistent Multivariate Generative Downscaling via Proper Scoring Rules
    Maybritt Schillinger, Maxim Samarin, Xinwei Shen +2
    Journal of Advances in Modeling Earth SystemsPeer-reviewedCC BY14 citedClimate scienceOpenAlex
  2. A New Framework for Interfacial Statistics: Exact n-Point Correlations of Gaussian Level Sets
    Aleksei M. Cherkasov, Kirill M. Gerke, Aleksey Khlyupin
    arXivPreprintarXiv licenceFull textGeophysics & seismologyMathematical physicsarXiv
  3. Sea surface salinity downscaling using deep generative diffusion models
    Enzo Forestier, Luther Ollier, Roy El Hourany +3
    Ocean SciencePeer-reviewedCC BY 4.0Full textEnvironmental science & pollutionHAL
  4. An internally consistent framework for calculating cascading probabilistic earthquake risk and its application to a case study in New Zealand
    Jose Moratalla, David Burbidge, Jean Roger +7
    Natural Hazards and Earth System SciencesPeer-reviewedCC BY 4.0Full textGeophysics & seismologyCrossref
  5. Integrating surface-active layer-permafrost hydrological processes: A systematic review and research framework
    Guangxi Ding, Jia Qin, Shiqiang Zhang +4
    Hydrology and Earth System SciencesPeer-reviewedCC BY 4.0Full textClimate scienceCopernicusCrossrefDOAJ
BibTeX
@article{souza2026generative,
  title = {{A Generative AI Framework for Inferring Consistent Ocean Statistics at Depth Using Sea Surface Data}},
  author = {Andre N. Souza and Simone Silvestri and Katherine M. Deck and Tobias Bischoff and Glenn R. Flierl and Raffaele Ferrari},
  journal = {Journal of Physical Oceanography},
  year = {2026},
  month = sep,
  doi = {10.1175/jpo-d-25-0093.1},
  url = {http://arxiv.org/abs/2504.15308},
}
RIS
TY  - JOUR
TI  - A Generative AI Framework for Inferring Consistent Ocean Statistics at Depth Using Sea Surface Data
AU  - Andre N. Souza
AU  - Simone Silvestri
AU  - Katherine M. Deck
AU  - Tobias Bischoff
AU  - Glenn R. Flierl
AU  - Raffaele Ferrari
PY  - 2026
DA  - 2026/09/25
JO  - Journal of Physical Oceanography
DO  - 10.1175/jpo-d-25-0093.1
UR  - http://arxiv.org/abs/2504.15308
SN  - 0022-3670
SN  - 1520-0485
ER  -