Course: Fundamentals of Ocean Forecasting

The previous lecture showed how to access open-access ocean data. This final video of the week, with Ebenezer Nyadjro, does the same for the other half of the picture: the …

This short guided reading builds on the video by looking at the practical side of open-access data: the portals where you find it, and the metadata you should always check …

In this second part, Nathanaël Dossa gives a live, step-by-step demonstration of the workflow in the Copernicus Marine Data Store (data.marine.copernicus.eu). You’ll see how to: open the Data Store and …

Now the week turns practical. This lecture, with Nathanaël Dossa, is about how you can access the ocean data you need – where it lives, who provides it freely, and …

This short guided reading builds on the video by looking more closely at the two families of ocean observation – satellite and in-situ – and what each contributes. As you …

The last lecture covered atmospheric forcing. This one, again with Ebenezer Nyadjro, returns to the ocean and looks at the observations that feed a forecast – both the satellites watching …

So far the week has focused on ocean data. But the ocean doesn’t move on its own – it’s driven from above. This lecture, with Ebenezer Nyadjro, turns to atmospheric …

The last lecture surveyed the many global data providers. This one, with Nathanaël Dossa, zooms in on one of the largest and most widely used: the Copernicus Marine Service – …

The first lecture showed what upstream data is. This one, with Nathanaël Dossa, answers the natural next question: where do all these observations come from, and how do they become …

This opening lecture, with Nathanaël Dossa, introduces the foundation of the whole module: upstream data sources – the observations and external datasets a numerical model needs before it can produce …

Welcome to Week 5. In Week 4, you saw how observations are woven into a forecast through data assimilation. But this raises a practical question that any forecaster must answer …

You’ve reached the end of Week 4 – and with it, a complete view of how the real ocean gets into a forecast, and how we know that forecast can …

The last few lectures showed how observations, through assimilation, improve a forecast. This reading closes the loop with the question that every forecast must eventually answer: once it’s produced, how …

The previous lectures showed how observations, through assimilation, improve a forecast. This final lecture of the module, again with Babette Tchonang, asks the question that closes the loop: once a …

This lecture, with Babette Tchonang, introduces one of the most important ideas in the whole week – and in modern operational oceanography: data assimilation, the process that combines observations with …