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regions, and may have also been observed in historical trends, but the processes driving this delay are not well understood. This project will use observations and climate model simulations to examine how
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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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Methods Reaching Net Zero is one of the greatest scientific and societal challenges of our time. Reducing emissions is essential—but unfortunately not by itself enough. To stabilise the climate, we must
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Methods Tropical forest soils are crucial to the global carbon cycle, yet increasing wildfire, land-use change, and climate warming may cause large carbon emissions. This PhD will investigate (1) how soil
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of benefit to a wide range of scientific communities, because the interactions of clouds with the mean climate is consistently the most difficult aspect of climate change to estimate correctly. To this end we
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climate models, including the UK Earth System Model (UKESM), resulting in critical gaps in both seasonal forecasts and long-term climate projections. This PhD will develop a new parameterisation of snow
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learning models to distinguish between normal physiological behaviour (e.g. diurnal rhythms, feeding responses) and abnormal stress-induced patterns will be central to the project. This requires
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, and opportunities to embed principles of climate justice. Particular attention will be given to ensuring that deployment strategies align with community needs, support rural resilience, and promote
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substantial intensification of the ocean heat transport, highlighting their climatic influence. However, the dynamics of submesoscale flows, and hence their representation in climate models, have not been
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computational fluid dynamics and numerical modelling will be used to simulate performance under varying runoff scenarios, pollution loads and climate conditions. By developing advanced road gully designs with