Section

  • General



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

    Learning objectives

    The training aims to enable participants to be aware of satellite-based, ground-based and model-based products. Participants will also learn more about the applicability and fitness-for-purpose of the respective products. 

    Target audience

    The training school aims to build capacity and improve skills in aerosol detection and monitoring for users from research and academia, and meteorological and transnational agencies, with a regional focus on Europe, North Africa, Middle East and Sahelian Africa. However, attendance is open to all countries.

    Prerequisites

    • Basic knowledge in atmospheric sciences.
    • Basic knowledge in programming would be advantageous. 
    • Basic understanding in structure and formats of geospatial data / Earth Observation data.
    On this course page you can find preparatory material on Python and how to access data. We will have an optional clinic session to go over your questions on 16th February 2023 at 13:00 CET.
    During the school, we will have lectures from scientific experts and hands-on problem-based practicals.
    All activities will be in English.

    • Lecturers and speakers

      • Melanie Ades and Angela Benedetti, ECMWF CAMS
      • Sara Basart, WMO/WMO SDS-WAS
      • Federico Fierli, EUMETSAT
      • Lucia Mona, CNR-IMAA
      • Xavier Querol and Andrés Alastuey, CSIC-IDAEA
      • Anu-Maija Sundström, Finnish Meteorological Institute
      • Sabrina Szeto, EUMETSAT
      • Sophie Vandenbussche, Royal Belgian Institute for Space Aeronomy
      • Julia Wagemann, EUMETSAT
      • Ernest Werner, AEMET

      Communications tools
      We will be using Slido in support of Q&As during lectures and slack to discuss and exchange with all selected participants during the School. Access codes will be share with participants via email.

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  • 1

    The School will run over two weeks with virtual lectures and practical data discovery.
    Lectures will be plenary sessions for all selected participants, recordings will be made available on this course page after each day, while hands-on sessions will be organised at different times for the three formed groups of selected participants.

    Selected participants will receive notification of their group assignment (Group 1, Group 2, Group 3) via email in the week of January 30th. More information on how to join the sessions will be also shared in the same communication.

    Overview of lectures 

    Program of plenary sessions


    Practicals I

    Program - Group 1


    Practicals II

    Program - Group 2

    Practicals III

    Program - Group 3



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      Each week, we will release a set of notebooks for you to go through ahead of the Joint Dust Training School. This material is optional, but it will be very helpful for those who may be new to programming or for those who are new to the data types we will be using.

      We will answer any questions during the optional clinic on 16th February 2023 at 13:00 (CET). Selected participants will receive the Zoom link. The clinic agenda is below:

      13:00 - 14:00: Python 101

      14:00 - 15:00: Intro to Jupyter

      15:00 - 16:00: Data Access & Workflows

      Practical materials

      • Python - Preparatory Material (link opens in a new tab)
        This notebook will introduce you to the Python programming language and useful Python libraries for processing and visualising data that we will use during this training school. 
      • Introduction to Project Jupyter (link opens in a new tab) 
        Project Jupyter offers different tools to facilitate interactive computing, either with a web-based application (Jupyter Notebooks), an interactive development environment (JupyterLab) or via a JupyterHub that brings interactive computing to groups of us.
      • JupyterLab (link opens in a new tab)
         JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. This notebook will introduce you to a JupyterLab training platform that will be used in this training.
      • Jupyter Notebook (link opens in a new tab) 
        The Jupyter Notebook is a web-based application that records your data processing workflow from describing the steps, executing your code and visualising the results. It is similar to a writing a recipe or lab notebook. This notebook will introduce you to what Jupyter Notebooks can do and how you can use them effectively.

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