Joint Training Schoo ...

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.

  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.

  • Your feedback Questionnaire

    We would appreciate to learn more about your experience in the Dust Training School.
    Your opinion will help us improve future events. It will take a few minutes to fill in the questionnaire.

    The survey will open on 2 March.
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  School structure

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  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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  Getting ready for the School

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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.
    
    
  • Data access (link opens in a new tab) 
    This notebook will introduce you to the data sources that we will be working on during this training school.
    
    
  • Troubleshooting (link opens in a new tab) 
    This notebook gives some hints about what you can do if your notebook or a code cell does not react as expected, or you think something isn't working in your Jupyter Notebook.
    

  Data Workflows for Satellite Observations
  
  

  • MSG SEVIRI Dust Product - Level 1.5

  • MODIS RGB Composite - Level 1B

  • VIIRS RGB Composite - Level 1B

  • MODIS 10km Aerosol Product - Level 2

  • Sentinel-5P TROPOMI - Aerosol Index - Level 2

  • PMAp - Aerosol Optical Depth - Level 2

  • MetOp-ABC GOME-2 - Absorbing Aerosol Index - Level 3

  • C3S - Aerosol Properties - Level 3
    
    

  • Replicating the JupyterLab environment locally (link opens in a new tab) 
    This notebook will provide guidance on how to replicate the JupyterLab environment we used during the training school on your local machine (your laptop or desktop).
    

  Data Workflows for Ground-based Observations
  
  

  • AERONET

  • EARLINET

  • EEA Air Quality

  Data Workflows for Model Data
  
  

  • CAMS Global Forecast - Dust Aerosol Optical Depth

  • CAMS Global Reanalysis (EAC4) - Dust Aerosol Optical Depth

  • CAMS European Air Quality Forecast - Dust Concentration

  • SDS-WAS MONARCH - Dust Forecast

  
  
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  Presentations and recordings

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  Under this section, we will be posting the recordings of lectures (plenary sessions) and the presentations given during the School.

  21 February - Day 1 - Fundamentals

  
  
  

  • Introduction to Sand and Dust Storms - S. Basart, WMO 
    
  • Dust and air quality from ground physical and chemical properties - A. Alastuey, CSIC-IDAEA
  • Observing aerosols - F. Fierli, EUMETSAT
    
    

  22 February - Day 2 - Satellite I

  • Satellite Monitoring of Dust - A.M. Sundström, Finnish Meteorological Institute
    
    

  23 February - Day 3 - Satellite II

  • Satellite observations in the thermal infrared - S. Vandenbussche, Royal Belgian Institute for Space Aeronomy
    
    

  28 February - Day 4 - Ground

  • Dust ground based observations - L. Mona, CNR-IMAA
    
    

  1 March - Day 5 - Modelling and data assimilation

  • Modelling and and dust storms - S. Basart, WMO
  • Dust aerosol data assimilation and forecasting: operational and research aspects - M. Ades & A. Benedetti, ECMWF 
    
    

  2 March - Day 6 - Operational modelling

  • WMO Barcelona Dust Regional Center: SDS Forecast Products - E. Werner, AEMET
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