The statistical method used to predict AMOC collapse timing from historical sea-surface temperatures is highly sensitive to unaccounted uncertainties and does not reliably constrain the collapse time.
Exceptional twentieth-century slowdown in Atlantic Ocean overturning circulation,
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 2
citation-polarity summary
years
2026 3roles
background 2polarities
background 2representative citing papers
A non-autonomous dynamical systems framework shows metabolic constraints increasingly govern phytoplankton persistence in a warming ocean, producing a global expansion of metabolic-driven regimes and a 1:4 ratio of new viable niches to ice-free polar deserts.
Case study demonstrates that a Gemini AI integrated into a climate science workflow produced most of a 79-paper synthesis on AMOC stability in 46 person-hours, with experts retaining the majority of AI output while adding critical content and oversight.
citing papers explorer
-
Extrapolation from historical data cannot reliably predict the time of a potential AMOC collapse
The statistical method used to predict AMOC collapse timing from historical sea-surface temperatures is highly sensitive to unaccounted uncertainties and does not reliably constrain the collapse time.
-
Beyond the Critical Depth: The Metabolic and Physical Drivers of Phytoplankton Persistence in a Changing Ocean
A non-autonomous dynamical systems framework shows metabolic constraints increasingly govern phytoplankton persistence in a warming ocean, producing a global expansion of metabolic-driven regimes and a 1:4 ratio of new viable niches to ice-free polar deserts.
-
AI-Assisted Scientific Assessment: A Case Study on Climate Change
Case study demonstrates that a Gemini AI integrated into a climate science workflow produced most of a 79-paper synthesis on AMOC stability in 46 person-hours, with experts retaining the majority of AI output while adding critical content and oversight.