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In this case study, there are two operational ensemble datasets and additional datasets created with the OpenIFS model, running at lower resolution, where the initial and model uncertainty are switched off in turn. The OpenIFS ensembles are discussed in more detail in later exercises.
An ensemble forecast consists of:
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Visualising ensemble forecasts can be done in various ways. During this exercise we will use and the following exercises a number of visualisation techniques will be used in order to understand the errors and uncertainties in the forecast,
Key parameters: MSLP and z500. We suggest concentrating on viewing these fields. If time, visualize other parameters (e.g. PV320K).
Available plot types
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