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of hazard assessment. North- Atlantic cyclones can cause severe damage to the neighbouring land of North America and Europe. Increasing the lead time of seasonal forecasts will allow for governments
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challenges in the area of hazard assessment and impact forecasting. The aim of the project is to develop methodologies for forecasting future energy use for various assets and weather scenarios from short term
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of agricultural innovation, exploring how advanced weather forecasting, crop modelling, and digital decision tools can be harnessed to support smarter, more agile on-farm decisions. It offers a unique opportunity
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scene and a diverse cultural life. Starting from 1 October 2025, our team offers a PhD Position (m/f/d) in Phenology and Pollen Forecasting using Citizen Science Data. The position is limited to 3 years
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offers a fully funded, four-year PhD studentship which will start in October 2025 on one of the following themes: Theme 1: AI-Driven Solar Forecasting for Smarter PV Integration Theme 2: Next-Generation
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___ The University of Newcastle, Australia Study Undergraduate Postgraduate International Pathways PhD and Research Masters New Students Scholarships Research Research excellence Research priorities Our stories Partner with us Institutes and centres Research facilities Graduate Research Research...
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gravel pores and reducing oxygen supply to benthic habitats. These measurements explain the problem, but they cannot forecast future conditions or test management scenarios. Planners are therefore forced
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of hydrological models to reliably forecast extreme hydrological events. However, these data sets must initially undergo interpolation before integration into hydrological models. Current research is developing
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, needs, local and scientific local weather forecast knowledge required for small-scale, saline cropping systems in the study area. Co-design climate information services for salinity management in
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machine learning frameworks such as recurrent neural networks and transformers. Models and datasets will be studied and benchmarked in key tasks relating to both prediction/forecasting and anomaly detection