Predicting Abrupt Atlantic Ocean Circulation Changes

Combining mathematical modelling, palaeoclimate observations and advanced climate model simulations, this exciting and cross-disciplinary project aims to unify the different theories on past and future abrupt climate changes and test the early warning detection of a tipping point in Atlantic Ocean circulation. 

[Please contact the lead supervisor - Dr Ruza Ivanovic - in advance of your application to discuss the project.]

Project Background

The substantial release of freshwater from the melting Greenland glaciers into the North Atlantic has raised concerns that the climate system may be approaching a tipping point where the Atlantic Meridional Overturning Circulation (AMOC) could weaken or deactivate. The AMOC is the large-scale circulation in the Atlantic Ocean that transports heat from the warm tropics to North America and Europe. Despite the massive disruptions such an event would cause to the European and North American climate, large uncertainties remain regarding the likelihood and impact of such events. This is due to the absence of direct observations of AMOC collapse and inconsistencies in future climate projections (Weijer et al. 2020).  

Research Approach

To address these uncertainties, we must turn to the events of the last glacial period (80,000 – 20,000 years ago), when recurring AMOC shifts caused Dansgaard-Oeschger events (D-O events). D-O events are millennial-scale transitions between warmer interstadial and colder stadial climates in the North Atlantic, with Greenland ice cores recording temperature changes of up to 15°C within decades to centuries. Such transitions were predicted in theoretical models, starting with Stommel’s (1961) foundational two-box model, which has been continuously expanded to include the oceanic and atmospheric feedbacks necessary to simulate the AMOC behaviour (e.g. Colin De Verdiere 2007). The ability for state–of–the–art climate models to replicate this behaviour is, however, relatively recent (e.g. Klockmann et al. 2018, Vettoretti et al. 2022, Romé et al. 2022) and has sparked a surge of hypotheses about the mechanisms underlying D-O events. Now, it is time to reconcile these model-based hypotheses with each other and with theoretical models and palaeoclimate observations. The convection-advection mechanism that we have recently proposed (Romé et al. 2024) to explain D-O-like AMOC behaviour in response to varying patterns of North Atlantic meltwater forcing offers the ideal starting point to unify existing theories and to develop indicators of a potential future AMOC tipping point.  

Project Aim/Objectives

This PhD project aims to explore the mechanisms driving glacial millennial-scale variability, develop a new theory for abrupt AMOC shifts expanding on the convection-advection mechanism and assess its validity compared to palaeo-observations, advanced climate simulations and its applicability to future scenarios.

The project objectives are to: 

1.      Establish a theoretical framework that aligns with the oscillating simulations presented in Romé et al. (2022). This involves testing different framing from simple oscillator models to more complex physical box models to identify the key physical components responsible for AMOC shifts. 

2.      Validate the mechanism by comparing it to climate reconstructions of D-O events from ocean sediment cores, explicitly investigating the hypothesis that a global salt oscillator drove past abrupt climate changes.  

3.      Test statistical algorithms for early warning detection of climate tipping points on numerical simulations and records of D-O events. Based on the thesis’ findings, the project aims to develop robust indicators for predicting future AMOC shifts.

Training Opportunities

The candidate will be part of international research networks, learn highly sought-after multidisciplinary skills, and develop interdisciplinary research at the forefront of climate science. Bespoke technical and scientific training will be provided by supervisors and peers within the Climate-Ice research group and the wider Institute for Climate and Atmospheric Sciences (University of Leeds), and the School of Mathematics (University College Cork). Wider academic and professional training will be available through the YES Doctoral Training Network and discipline-specific summer/winter schools, international and national conferences/workshops etc. Contact the lead supervisor to discuss in detail.

Application Details

A successful candidate will be funded as one of 25-26 PhD students per year in the YES Doctoral Training Network (DTN) and will be based at the University of Leeds. You can only apply for one project in the YES DTN.

The deadline to apply is 5pm GMT 8th January 2025.

Application Details

A successful candidate will be funded as one of 25-26 PhD students per year in the YES Doctoral Training Network (DTN) and will be based at the University of Leeds. You can only apply for one project in the YES DTN.

The deadline to apply is 5pm GMT 8th January 2025.

Please contact the lead supervisor (Dr Ruza Ivanovic) to discuss the project and your suitability before applying. 

How to Apply

1) Complete the University of Leeds online application form

Select ‘NERC YES DTN Yorkshire Environmental Sciences’ as the Planned Course of Study.

The supporting documents needed to process your application are:

• certificates and transcripts of any academic qualifications
• English language qualification certificates
• visa and immigration documents

All documents should be in English or be accompanied by a certified translation into English. 

They can be sent via the online research degree application or can be emailed to [Email Address Removed] after you have submitted your application. Your email should include your student ID number (emailed to you on submission of your application), full name and your intended course of study. Please do not send original documents at the application stage and only provide documents via email.

2) Complete the YES.DTN application form, available on the YES•DTN website

For more information and to apply see: https://yes-dtn.ac.uk/application-information/how-to-apply/.