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, AquaCrop) or experience with agricultural or environmental modelling. Some experience with programming in R and/or Python. Exposure to climate or weather data, forecasting systems, or geospatial tools
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To combat climate change and achieve the UK's target of Net Zero, it is expected that the integration of renewable energy sources (RESs) at the distribution/consumption level will keep increasing
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years, full time Project outline We are seeking an excellent PhD student to undertake research on experimental and/or theoretical aspects of light scattering by single particles relevant to climate
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possible shift (temporal and spatial) in rainfall patterns across the MLR (climate change/water) Explore various River Murray hydrological, hydraulic modelling questions (River Murray/water) Review economic
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: Bommasani et al, 2021. On the opportunities and risks of foundation models. arXiv preprint arXiv:2108.07258. Chun et al, 2024. Unravelling compound risks of hydrological extremes in a changing climate
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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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season properties (e.g. number, intensity) for lead times ranging from one to approximately six months in the latest generation of dynamical seasonal and decadal forecast models. Seasonal forecasts
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Condensation trails (“contrails”) forming in aircraft exhaust are thought to be responsible for around half of aviation’s climate impacts, but efforts to eliminate them are hampered by uncertainty
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to: build predictive spatial models for VME distribution and resilience under current and future climate scenarios; define and quantify functional traits of VME taxa; identify key functional groups, map
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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