Rader, Jamin K https://orcid.org/0000-0002-2204-5977
Connolly, Charlotte J https://orcid.org/0000-0002-4178-4281
Fernandez, M A https://orcid.org/0000-0003-3492-6197
Gordon, Emily M https://orcid.org/0000-0002-4976-7785
Funding for this research was provided by:
Biological and Environmental Research
National Science Foundation Division of Atmospheric and Geospace Sciences (1749261)
Article Title: Attribution of the record-high 2023 SST using a deep-learning framework
Journal Title: Environmental Research Communications
Article Type: paper
Copyright Information: © 2025 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2025-02-03
Date Accepted: 2025-04-29
Online publication date: 2025-05-14