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Methods River migration (by bank erosion and avulsion) displaces thousands of vulnerable people annually, is likely to worsen significantly under climate change, and is challenging to predict. This project
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-impurity re-emission, implement it in UKESM, and evaluate it against in-situ data from MOSAiC and permanent Arctic observatories. Training will include advanced Earth system modelling, ensemble design
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. The student will incorporate the fast-evolving understanding of magma-mush systems into numerical models simulating surface deformation from porous fluid (magma) flow, and test how predicted subsurface stress
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central question in evolutionary biology and has profound implications for predicting host–pathogen dynamics in changing environments and biodiversity conservation. In this project, you will investigate
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challenged by environmental stressors including heatwaves, salinity shifts and declining water quality. Understanding how these animals respond to such pressures is critical for predicting future ecosystem
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the following research questions: a) How do species traits predict important ecological processes, including food web structure and resilience to perturbations? b) Can the patterns and correlations of species