Gap filling ocean data (statistical and machine learning methods)
Online: 19 October 2021, 11:00 UTC
Webinar with Aida Alvera Azcarate (University of Liège), moderator: Hayley Evers-King (EUMETSAT).
29 September 2021
17 September 2021
The ocean is a complex system with processes at various scales interacting among them, from thousands of kilometers down to less than 1km. Satellite data offer a unique amount of information about the ocean surface, thanks to the high spatial and temporal resolution they provide. However, satellite sensors measuring at the visible and infrared wavebands are affected by the presence of clouds and have, therefore, a large amount of missing data. In order to study these multi-scale oceanic processes it is necessary to deal with this missing information. Data interpolation techniques are often used for that, and various approaches have been developed over time.
We will provide examples of reconstructed satellite data for several variables, like sea surface temperature and chlorophyll concentration. The code for these techniques is openly available for any interested user. We will show where to find them, practical examples, and provide background information on their use.
How to participate
Register to join, at least 10 minutes before the session starts at 11:00 UTC.
During the webinar, we will be using Slido to answer your questions. Go to the event on Slido.com (no log in required).
Note: The webinar will be recorded. After the session, the recording will be made available from the course page.
For further information about training email our Training team.
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