During our Climate Services and Impact Modelling course, you will learn the science and practical techniques required for the provision of quantitative climate services and climate impact modelling. By the end, you will be aware of the strengths, limitations and sources of uncertainty in climate data and understand how it is produced (observations, reanalyses, forecasts and projections).
You will be able to handle quantitative weather and climate data, including complex geographical and forecast information, and perform simple processing and analysis tasks in Python.
The course will involve a mixture of online videos and lecture notes, interactive online discussion sessions, and online computing labs. You will have the opportunity to attend additional (optional) seminars given by expert speakers who will share their experiences of delivering weather and climate services to end-users.
