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CATS hosted three workshops for early-career researchers on ‘Understanding Uncertainty in Environmental Modelling’. The courses were funded as part of NERC’s Advanced Training Short Courses scheme and were open to all, although NERC-funded researchers and students were given priority.

Modelling and simulation are an increasingly important part of modern science, especially in highly policy-relevant disciplines such as ecosystem modelling, natural hazards, and climate projection. Good practice in the use and interpretation of models is therefore vital, both for sound science and for informing evidence-based policy decisions. The workshops will present an overview of model evaluation methods, statistical inference for model output, and the use of models in risk management and decision-making, with the aim of exposing participants to methods and insights available in environmental modelling and encouraging critical evaluation of the approaches and methodologies used in their own research. The workshops will be structured around several themes, with facilitated discussion time and interactive problem-solving exercises, allowing participants to explore and understand the concepts presented by the expert lecturers. Participants will leave with an overview of the key issues of uncertainty in environmental modelling, an understanding of how these affect their own research methods and where to find expert guidance and further information. Each course includes a poster session and practical exercises.

CATS hosted a workshop for early-career researchers on ‘Understanding Uncertainty in Environmental Modelling’. The workshop was funded as part of NERC’s Postgraduate and Professional Skills Development Programme.

Modelling and simulation are an increasingly important part of modern science, especially in highly policy-relevant disciplines such as weather, climate, and hydrology. Good practice in the use and interpretation of models is therefore vital, both for sound science and for informing evidence-based policy decisions. The workshop presented an overview of model evaluation methods, statistical inference for model output, and the use of models in risk management and decision-making, with the aim of exposing participants to methods and insights available in environmental modelling and encouraging critical evaluation of the approaches and methodologies used in their own research. The workshop was structured around several themes, with facilitated discussion time and interactive problem-solving exercises, allowing participants to explore and understand the concepts presented by the expert lecturers. The workshop was short but intense, and we hoped participants would leave with an overview of the key issues in environmental modelling, an understanding of how this affects their own research methods and where to find expert guidance and further information.