Training School and Workshop on Dust Aerosol Detection and Monitoring

Training School and Workshop on Dust Aerosol Detection and Monitoring Training School and Workshop on Dust Aerosol Detection and Monitoring
  • Contact

    EUMETSAT

  • Keywords

    Remote Sensing

  • Working language

    English

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  • Updated on 2022-01-11 14:36:00

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The Training School and Workshop on Dust Aerosol Detection and Monitoring aims to provide an awareness of state-of-the-art satellite-based, ground-based, and model-based products for aerosol detection and monitoring. In addition, it will offer opportunities to learn more about the applicability and effectiveness of the respective products.

An additional full session of the school, jointly organized by EUMETSAT and the WMO SDS-WAS Regional Center (which is managed by the Barcelona Supercomputing Center, BSC, and the Spanish Meteorological State Agency, AEMET) with the support of Copernicus and ACTRIS programmes.

Target audience

Actors in Meteorological and transnational Agencies, focusing on Europe, North Africa, Middle East, and Sahelian Africa. 

Researchers / academics from the above regions, with a focus on beginners. 

Course outline

The course is structured on three elements:

  • Webinars and presentations (self-study in preparation of live sessions), targeting those willing to learn or refresh their knowledge on the basics of aerosol and dust, principles of observations, modelling and forecast; including retrievals and uncertainty
  • Data discovery sessions with assignments, targeting those willing to be introduced to the access, content and manipulation of the key satellite, ground-based, and modelling products. No prerequisites on coding in python or data handling are needed. Basic knowledge of EO data would be an advantage.
  • Interactive workshop, targeting those willing to progress on data discovery, develop practical case studies and exercises. During the practical training, you will learn basic principles in data handling, management and processing with Python on real-cases.