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evaluations of climate model simulations that integrate the impacts of wind-farm wake effects on wind power production and local atmospheric conditions. The candidate will employ a range of cutting-edge
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observations and reanalysis data, coupled with detailed evaluations of climate model simulations that integrate the impacts of wind-farm wake effects on wind power production and local atmospheric conditions
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modelling. The PhD candidate’s tasks will primarily be to model and simulate CO2 hydrate sealing in sediments but also to take part in analysing and interpreting physical experiments. The PhD candidate will
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interdisciplinary research group with both experimental activities and numerical modelling. The PhD candidate’s tasks will primarily be to model and simulate CO2 hydrate sealing in sediments but also to take part in
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areas in credible journals and conferences Knowledge and relevant project experience with the modelling of urban water systems Experience with Python for advanced programming, both design and planning, as
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complex geometries represents a hazard. It is also relevant to compare the SoK for similar systems using different fuels, and to explore the predictive capabilities of consequence models through blind
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capabilities of consequence models through blind-prediction benchmark studies. Depending on the qualifications and preferences of the candidate, the work may entail experimental investigations and/or modelling
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integrating wind farm wake effects into a climate model to evaluate climate-energy interactions. Findings will inform studies on co-located multi-source energy systems at large wind park sites. Using advanced
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the long-term climate impacts of large wind park clusters, starting with individual wind parks. The first phase involves integrating wind farm wake effects into a climate model to evaluate climate-energy
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sediment volumes, deposition rates and transport pathways through time, combined with onshore exhumation data and topo/landscape models Evaluation of thermocronometric data and provenance data to establish a