The Department of Earth Sciences is looking for a highly motivated PhD candidate with an MSc background in Earth, Environmental or another relevant field. You will work on the project ‘Reconstructing early to middle Eocene climate variability’.
Your jobChanges in regional temperature and hydrology are among the greatest threats associated with modern global warming. Temperature is an important control on hydrology. The latter will determine water supply, food security and sanitation to human communities. The paradigm is that wet regions become wetter and dry regions become drier with global warming. However, particularly in the vulnerable subtropical and mid-latitude regions, the state-of-the-art climate models produce simulations that differ not only in the magnitude, but even in the sign of change. Moreover, some hydrological reconstructions from past warm climates suggest that dry regions may have been wetter and there are plausible physical explanations for these observations. Moreover, these past warm time intervals have wet mid-to high latitude belts that extend to much higher latitudes than most climate models suggest. Important questions also remain regarding the seasonality of that precipitation.
Past warm climates such as the Eocene provide natural experiments to test model performance in projecting non-analogue future global and regional hydrology and dependence on global and regional temperature. However, so far, such model-data comparisons chronically suffer from a lack of field data describing regional and seasonal hydrological regimes under past warm climates. Time series of hydrological change on orbital time scales, which includes long-term variability in the geographical range of monsoons – a crucial component of hydrology in the subtropics – and extreme events are notoriously missing. Particularly for very warm climates such those of the Eocene, we urgently need such records to unlock the promise of paleoclimate as a useful analogue of future hydrology.
To address this important issue, this project aims to generate orbital-scale resolution (~4 kyr) temperature, oceanographic and hydrological reconstructions for specific time intervals across the early and middle Eocene (~51 – 47 Ma). This time interval covers the transition from the Early Eocene Climatic Optimum to the presumably somewhat cooler early Middle Eocene. One aspect of the research is to assess the timing and global nature of this cooling. Subsequently, we look to constrain:
- hydrology and its potential monsoon and extreme event forcing during the early and middle Eocene at both subtropical and higher latitudes;
- the dependency of hydrological regime on regional and global average temperature change in warm climates;
- the dependency of hydrological regime on the meridional temperature gradient that determines atmospheric water transport to extra-tropical regions.
To this end, you will generate proxy data to assess temperature, hydrology and carbon cycle information. Methods might include palynology and organic biomarker and biogenic calcite geochemistry at several sediment sequences. You will collaborate with fellow PhD candidates or postdocs carrying out climate model experiments that complement your work.
A personalised training programme will be set up, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes following courses/workshops as well as training on the job in assisting in the Bachelor’s and Master’s programmes of the department at Utrecht University.
The project leader and daily supervisor will be Professor Appy Sluijs, and close collaboration in this project will be with Dr. Peter Bijl. Multiple others will be involved for specific aspects of the project, including several scientists involved in the national programme
EMBRACER, such as Dr Francien Peterse (biomarker geochemistry), Dr Martin Ziegler (biogenic carbonate biogeochemist), Dr Anna von der Heydt, Dr Michiel Baatsen and Dr Marlow Cramwinckel (climate modelling), and international partners.