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CO2 and climate change: deciphering the role of the high-latitude oceans

Lead Research Organisation: University of St Andrews
Department Name: Earth and Environmental Sciences

Abstract

With every ton of carbon injected to the atmosphere, humanity makes a commitment to long term changes in climate. The severity of that commitment will depend on how Earth's carbon sinks, that remove carbon from the atmosphere, are themselves altered by the ensuing climatic shifts.

The role of the ocean is critical: CO2 dissolves in seawater, allowing the ocean to take up about 30% of the CO2 emitted to date. The future trajectory of atmospheric CO2 - and climate - is thus critically dependent on the behaviour of the ocean CO2 sink.

High latitude regions are particularly important, as cooling of surface water allows more CO2 to dissolve (similar to CO2 bubbles in a cold fizzy drink). Cooling also increases density, allowing CO2-laden water to sink and be stored in the ocean's abyss.

However, high latitude mixing can also bring CO2 back up to the surface. Depending on the speed at which this CO2 is removed by photosynthesis, and the degree to which it is capped by sea ice, the high latitude oceans may act either as a CO2 source, or a CO2 sink.

At present, these processes are not well represented in the computer models used to predict CO2 change in the future. For example, most models misrepresent the seasonal cycle of CO2 uptake and release in the Southern Ocean. They also tend to predict that the ocean will continue to absorb CO2 like a simple sponge, but from the geological record we know that the ocean can switch from a carbon sink to a carbon source with surprising speed.

It is therefore critically important that we improve simulation of fundamental processes in the ocean carbon cycle and understand the dynamic ways in which oceanic CO2 has changed in the past and could change in the future. These are the core aims of this proposal.

To achieve this, I will harness insights from paleo data alongside new developments in carbon cycle modelling. Pairing these approaches will allow us to answer major questions about Earth's past, such as the causes of ice age CO2 change, and to use paleo observations to help test and improve the oceanographic tools used to predict our future.

Firstly, I will examine biases in state-of-the-art carbon cycle models by evaluating how carbon is stored within oceanic layers known as watermasses. Watermass analysis has been one of the most successful tools in oceanography but has been used surprisingly little to study the ocean carbon cycle. It also lends itself well to paleo data, to test how carbon was stored in the ice age ocean.

Secondly, I will develop new ways of simulating processes of carbon uptake at high latitudes. The complexity and fine spatial scales involved make this challenging for global models. Here, I will use "idealised" approaches which focus on the most essential processes and regions. Specific targets include the spinning circulation of the North Atlantic and the complex interactions in the Southern Ocean, and these will be compared to records of rapid deglacial CO2 change from these regions. A long term aim is to apply novel mathematical approaches to make a new style of model of global ocean carbon.

Thirdly, I will bring together these new insights to create efficient models of the global ocean carbon cycle and its interaction with climate. I will harness them to examine the causes of ice age CO2 change, and trajectories of CO2 uptake in the future.

This work will provide oceanographers, climate scientists, and paleoceanographers with a new toolkit for examining major CO2 change. I have positioned myself at the nexus of these fields, and the complementary expertise available at St Andrews, coupled with that of a leading group of project partners, will allow me to undertake the bold, interdisciplinary work needed for a step change in our understanding of the ocean carbon cycle. The reach and impact of this work will be extended directly to policymakers by creation of user-friendly models of future CO2 trajectories and their impact on climate.
 
Description The efforts associated with this award are ongoing. Progress has been made in advancing the diagnostic capabilities of numerical ocean models. We've used these diagnostics to advance our understanding of the melting of the Antarctic Ice Sheet on the large scale ocean circulation. We've also revealed an important role for the ocean gyre circulation in moving heat toward the Antarctic Ice Shelves, with the potential to enhance melting, and shown some of the first evidence of previous melting in the paleo record. Work has been done on simulations of long-timescale changes in the ocean storage of carbon, revealing interesting roles of asymmetric hemispheric forcing.
Exploitation Route The outcomes of this work remain in their early stages. Several papers have been published on relevant work, that will contribute to the research field as a whole. Software packages have been made available, as well as model outputs, and it is anticipated that these will be of use in further research.
Sectors Environment

 
Title Advanced water mass diagnostics in ocean models 
Description Our research has contributed to the development of advanced diagnostics in numerical ocean models, which form a component of climate models. These diagnostics allow unprecedented insight into the processes driving ocean circulation in these models, and their changes under warming scenarios. This has been implemented in a specific model (MOM6) and in a model agnostic python package. 
Type Of Material Data analysis technique 
Year Produced 2023 
Provided To Others? Yes  
Impact A prototype of this toolset was published in Tesdal et al. (2023), and further developments/publications are imminent. It is anticipated that the diagnostics will be widely incorporated into future climate model simulations, ushering in a new level of understanding of the ocean's role in climate and climate change. 
URL https://github.com/NOAA-GFDL/xwmt
 
Title Potential Predictability of the Spring Bloom in the Southern Ocean Sea Ice Zone: data and analysis scripts 
Description This repository contains the datasets and notebooks necessary to reproduce the figures in Buchovecky et al. "Potential Predictability of the Spring Bloom in the Southern Ocean Sea Ice Zone". All notebooks, except those deriving quantities from the raw model data, should work "out-of-the-box" after the appropriate local path has been set to the data. 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
Impact Reproducibility of study results. 
URL https://zenodo.org/record/8003803
 
Title Revisiting Interior Water Mass Responses to Surface Forcing Changes and the Subsequent Effects on Overturning in the Southern Ocean 
Description This dataset contains processed model data used in Tesdal, J.-E., A. MacGilchrist, G., Beadling, R. L., Griffies, S. M., Krasting, J. P., & Durack, P. J. (2023). Revisiting interior water mass responses to surface forcing changes and the subsequent effects on overturning in the Southern Ocean. Journal of Geophysical Research: Oceans, 128, e2022JC019105. https://doi.org/10.1029/2022JC019105. The above publication uses two coupled climate models (AOGCMs), GFDL-CM4 and GFDL-ESM4, to assess the impact of perturbations in wind stress and Antarctic ice sheet melting on the Southern Ocean meridional overturning circulation (SO MOC) and associated water mass transformations (WMT). The attached archive includes netCDF files to recreate all figures and tables in Tesdal et al. (2023), including overturning streamfunction (moc), volume storage change (dVdt), surface water mass transformation (swmt), meridional volume transports (mvt) zonal mean potential density referenced to 2000 dbar (sigma2) and mixed layer depth (mld). These variables are derived from preindustrial control (piControl) and idealized perturbation runs of Antarctic melting (Antwater), wind stress (Stress), as well as the combination (Antwater-Stress) using the Flux-Anomaly-Forced Model Intercomparison Project (FAFMIP) protocol. The FAFMIP protocol (Gregory et al., 2016) involves adding perturbations to the surface fluxes that are computed within the atmosphere-ocean general circulation model (AOGCM) from the state of the system (Lowe and Gregory, 2006; Bouttes and Gregory, 2014). The perturbations in this dataset were technically added as a flux adjustment similar to that formerly used in AOGCMs (Sausen et al., 1988). The data files contain processed model output and do not include any raw model output. Model data from the piControl runs of CM4 and ESM4 are available at the Earth System Grid Federation archive (https://esgf-node.llnl.gov/projects/cmip6). The forcing fields (perturbations) used in the perturbation experiments can be found at https://github.com/becki-beadling/Beadling_et_al_2022_JGROceans. Python scripts and Jupyter notebooks to reproduce the tables and figures can be accessed at https://github.com/jetesdal/Tesdal_et_al_2023_JGROceans. Contents: Overturning streamfunction (moc) Volume storage change (dVdt) Surface water mass transformation (swmt) Meridional volume transports (mvt) Zonal-mean potential density referenced to 2000 dbar (sigma2) Mixed layer depth (mld) Antarctic shelf mask Static grid files Models: GFDL-CM4 GFDL-ESM4 Simulations: Preindustrial control (piControl) Experiment with a 0.1 Sv freshwater perturbation entering at the Antarctic coast (Antwater) Experiment with zonal and meridional wind stress perturbations (Stress) Experiment with combined perturbation of both Antarctic melting and wind stress (Antwater-Stress) NetCDF file name structure: _____.nc model: CM4, ESM4 simulation: control, antwater, stress, antwaterstress member_id (only for antwater, stress, antwaterstress): 251, 290, 332 (CM4), 101, 151, 201 (ESM4) domain: global, so time_period: yyyy-yyyy (first year to last year) variable: e.g., moc_rho2_online_lores, dVdt_rho2_online_lores, swmt_sigma2_005, sigma2_jmd95_zmean 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
Impact Reproducibility of study results. 
URL https://zenodo.org/record/7679545
 
Description CARB-SEA 
Organisation British Antarctic Survey
Country United Kingdom 
Sector Academic/University 
PI Contribution We are providing expertise, in the form of process modelling studies, to a larger project on the role of sea ice in ocean carbon cycling in the Southern Ocean.
Collaborator Contribution The partners in this project are doing additional modelling work, as well as pursuing funding opportunities to deploy autonomous instruments in the Southern Ocean.
Impact None yet
Start Year 2025
 
Description CARB-SEA 
Organisation National Oceanography Centre
Country United Kingdom 
Sector Academic/University 
PI Contribution We are providing expertise, in the form of process modelling studies, to a larger project on the role of sea ice in ocean carbon cycling in the Southern Ocean.
Collaborator Contribution The partners in this project are doing additional modelling work, as well as pursuing funding opportunities to deploy autonomous instruments in the Southern Ocean.
Impact None yet
Start Year 2025
 
Description CARB-SEA 
Organisation University of Gothenburg
Country Sweden 
Sector Academic/University 
PI Contribution We are providing expertise, in the form of process modelling studies, to a larger project on the role of sea ice in ocean carbon cycling in the Southern Ocean.
Collaborator Contribution The partners in this project are doing additional modelling work, as well as pursuing funding opportunities to deploy autonomous instruments in the Southern Ocean.
Impact None yet
Start Year 2025
 
Description CARB-SEA 
Organisation University of Southampton
Department Ocean and Earth Science
Country United Kingdom 
Sector Academic/University 
PI Contribution We are providing expertise, in the form of process modelling studies, to a larger project on the role of sea ice in ocean carbon cycling in the Southern Ocean.
Collaborator Contribution The partners in this project are doing additional modelling work, as well as pursuing funding opportunities to deploy autonomous instruments in the Southern Ocean.
Impact None yet
Start Year 2025
 
Description Pint of Science event 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Public/other audiences
Results and Impact Local outreach event highlighting the role of the ocean in climate change.
Year(s) Of Engagement Activity 2024
URL https://pintofscience.co.uk/
 
Description University of St Andrews alumni event 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Supporters
Results and Impact Event for University of St Andrews alumni in London. Spoke on role of ocean in climate and climate change.
Year(s) Of Engagement Activity 2024