AI-Driven Quality Control and Uncertainty Quantification in EOVs

ObsSea4Clim offers 60-minute training modules to early career researchers  (ECR) working in oceanography, ocean observation, climate prediction, ESM climate modelling, data management, and the wider climate science scientific community.The trainings consists of a 30-40 min webinar with a presentation by the trainer(s), followed by a discussion with the trainer and other ECRs for 20 minutes.A certificate of attendance is provided.

ObsSea4Clim

ObsSea4Clim Training #4.  Offered by the Hellenic Centre for Marine Research in the framework of ObsSea4clim.

Training Series offered by ObsSea4Clim

ObsSea4Clim offer a series of online training sessions, delivered in a webinar format, as part of its capacity-building measures for Early Career Scientists (ECSs) / Early Career Researchers (ESRs).

ABOUT THE TRAININGDuration: 60 minutesContents: As AI is expanding into all areas, this workshop describes AI-based quality control tools and applications, and how such an approach could lead to better quantification of uncertainties within the framework of Essential Ocean Variables and Essential Climate Variables (EOV/ECV). After introducing the theoretical framework (key concepts and scientific background), the participants could learn how AI can help automate and improve data quality checks, leading to more robust EOV datasets. Since the uncertainty is an integral part of an EOV, the role of AI-based quality control approaches is discussed in quantitatively assessing it. Using sea surface temperature (SST) as an example of EOV, participants will also see recent results and gain access to Jupyter Notebooks for some hands-on experimentation.Audience: Early career researchers and scientists working in oceanography, ocean observing, climate prediction, ESM climate modelling, data management, and the wider climate science scientific community.Your trainerThania Papapostolou is a physical oceanographer, working at the Hellenic Centre for Marine Research with the Operational Oceanography group. Her work revolves around ocean observations, and through various projects, she is involved in data curation for the HCMR’s POSEIDON observatories, quality control of Copernicus Marine In-Situ observations for the Mediterranean region, developing AI-based quality control tools, and exploring observing capabilities that emerge from optical fibre sensing through submarine telecommunication cables.The Hellenic Centre for Marine Research (HCMR) is Greece’s national research organisation for oceanography and marine sciences, supervised by the General Secretariat for Research and Technology. HCMR conducts research and innovation studies, aiming to protect the hydrosphere, support informed decision-making, and provide products and services that benefit society and the economy, while fostering European and international collaborations.Repository of the training materials<ul><li>YouTube channel of ObsSea4Clim for the videos. The videos will cover the presentations but not the Q&amp;A sessions.</li></ul><ul><li>Zenodo for presentations.</li></ul>Certificate of attendanceIt will be provided to all participants after the event.Links to MS TeamsIt will be sent to you via Eventbrite in due time.The training is free.We have a maximum of 50 spots available for the training. First-come, first-served.Terms of Reference for this eventThis training is organised by the Horizon Europe project <a href="https://obssea4clim.eu/" title="https://obssea4clim.eu/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">ObsSea4Clim</a>.Please ensure you read <a href="https://obssea4clim.eu/terms-of-references-and-privacy-policy-for-the-obssea4clim-training-series/" title="https://obssea4clim.eu/terms-of-references-and-privacy-policy-for-the-obssea4clim-training-series/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">this document </a>carefully before registering. It contains the terms of reference for this event, the privacy policy for this event and an information sheet explaining what the ObsSea4Clim project is about.DisclaimerFunded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.’

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AI-Driven Quality Control and Uncertainty Quantification in EOVs

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