PhD Position Coupled Sea Ice / Ocean Modeling for Improving Climate Predictions – DelftUniversityofTechnology(TUDelft) – Delft

  • Delft


Sea ice is an extensive layer of frozen ocean that plays a crucial role in our climate system. In the last few decades, the global extent of the sea ice pack has diminshed drastically due to warming at the poles. Current climate models cannot capture this sea ice decline appropriately, notably due to lack of understanding of ocean / sea ice interactions at fine scles. By improving the accuracy in the modeling of the polar oceans, your work will help our ability to predict the trajectory of the climate in the coming decades.

In this project, you will use a model of ocean turbulence coupled with a discrete element model of sea ice to explore how their interactions impact the breakage, melt, freezing and thickening of the sea ice pack. You will test how future warming will affect these processes and quantify the impact of sea ice changes on the wider climate system. You will also have the chance to leverage the departmental expertise on remote sensing to produce comparisons between models and observations.

Your work will connect with the <a initiative at Caltech, MIT and NASA JPL, and the multi-university <a initiative on sea ice, which both aim to sharpen our understanding of the climate using more efficient and accurate models. Throughout the project, you will have the opportunity to interact with these international research teams for scientific and technical exchanges. You will also benefit from cutting-edge software designed to be fast (GPU-accelerated), user-friendly and modular, which will allow you to make a strong scientific impact.

We value your development as an independent thinker and therefore welcome your own ideas in shaping the research direction based on your specific interests. We also care that you develop skills and a network that will be important for your career beyond the program. In our faculty, you will interact with students and staff working on all aspects of the climate, including atmosphere, oceans and the cryosphere, from both modeling and observational perspectives.

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