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3rd EUMETSAT/ESA/ECMWF joint training in atmospheric composition

 December 6 - December 17

The European Space Agency (ESA), the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), the European Center for Medium-Range Weather Forecasts (ECMWF) with the Copernicus Atmosphere Monitoring Service (CAMS) are organising a third joint training course on Atmospheric Composition from 6 to 17 December 2021.

The training will present the state-of-the-art in atmospheric monitoring and modelling. It aims to provide an end-to-end overview of observations, remote sensing, modelling, data assimilation and applications; and to enhance the capacity to access and analyse data. The training course also aims to foster collaboration amongst participants and encourage the development of individual and team projects using the data, resources and methodologies presented.

The training is beneficial for early-career scientists, researchers from academia and research institutes, young scientists from industry, and anyone interested in atmospheric composition monitoring and modelling.

Main topics of the training:

  • Atmospheric processes: Chemical species, aerosols, GHG
  • Modelling: Global / regional; analysis / re-analysis / forecast; bias correction & downscaling; inverse modelling / DA
  • Emissions: Inventories, inverse modelling, anthropogenic effects (link to COVID)
  • Observations: Spaceborne, in-situ, remote sensing retrievals
  • Operational applications and services: Policies; public & private sector needs; applications & services.

The training is taking place entirely online with five days of lectures and practical sessions distributed over two weeks.

The agenda will be available soon.

JOIN THE REGISTRATION

Please register before Friday 19 November 18:00 CET!

Draft agenda

Date (December 2021)Programme
Monday 6thAtmospheric Composition Basics

  • Chemical species and aerosols
  • Greenhouse gases
  • Atmospheric composition monitoring and forecasting
  • Practical session on Data discovery: access, visualisation and exploration of model and observation data.
Tuesday 7thFREE DAY
Wednesday 8thModelling and Data Assimilation

  • Introduction to modelling
  • Atmospheric composition modelling examples and validation
  • Data assimilation and inverse modelling
  • Practical on basics of inverse modelling and data assimilation
Thursday 9thFREE DAY
Friday 10thObservations

  • Satellite observations
  • Remote sensing retrievals from satellite data
  • In-situ networks, ground-based remote sensing
  • Practical exercise in data analysis
Monday 13thFREE DAY
Tuesday 14thAtmospheric Monitoring Services

  • Emissions inventories
  • Operational forecasting
  • Atmospheric composition policy and services
  • Practical exercise on student projects
Wednesday 15thFREE DAY
Thursday 16thFREE DAY
Friday 17thFuture Developments

  • Current status and future developments in modelling
  • Future observations
  • Future CO2 monitoring and verification support capacity
  • Student presentations
  • Further study

Details

Start:
December 6
End:
December 17
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