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The land and ocean remove half the carbon dioxide (CO2) we add to the atmosphere each year, greatly reducing the severity of climate change. However, as climate itself changes this uptake, especially the land component, is at risk.
Applications for these projects are no longer being accepted
To understand this risk we must observe how CO2 uptake changes with time, understand the key processes and embed that understanding in predictive models.
Project goals
This project will apply machine learning and two state-of-the-art streams of new satellite data to map recent patterns of CO2 uptake by the land and project this improved knowledge into prediction.
The project will be carried out in parallel between the Laboratory for the Science of Climate and Environment (LSCE) near Paris and the University of Melbourne (UoM) using two world-leading models and contributing to an open-source data analysis system to which others will be invited to contribute.
The LSCE project will focus primarily on the development of the assimilation of atmospheric satellite CO2 data through the use of a Machine Learning based approach; while the UoM based project will focus more on the assimilation of Solar Induced Fluorescence (SIF) from terrestrial vegetation.
Both teams will use independent land surface models and transport models to characterise the impact of model structural errors on land carbon budgets.
Supervision team
The University of Melbourne: Professor Peter Rayner
CNRS, Laboratory for the Science of Climate and Environment: Professor Philippe Peylin
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Who we are looking for
We are seeking a PhD candidate with the following skills:
- Demonstrated experience in the field of biogeochemistry.
- Demonstrated experience with scientific computation.
- Demonstrated ability to work independently and as part of a team.
- Ability to write research reports to a publishable standard.
- Excellent written and oral communication skills.
- Demonstrated organisational skills and ability to work to priorities.
Further details
- The PhD candidates will benefit from the combined expertise of the project supervisors, and the embedding into two research environments.
- One PhD project will be based at the Laboratory for the Science of Climate and Environment with a minimum 12-month stay at the University of Melbourne. The other PhD project will be based at the University of Melbourne with a minimum 12-month stay at the SUBATECH laboratory in Nantes.
- The two candidates will be enrolled in the PhD program at the University of Versailles Saint-Quentin-en-Yveline and in the PhD at the School of Geography, Earth and Atmospheric Sciences at the University of Melbourne.
Applications for these projects are no longer being accepted
First published on 11 May 2021.
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