Section: Partnerships and Cooperations

European Initiatives

Collaborations in European Programs, except FP7

  • Program: COST Action ES104.

  • Project acronym: EuMetChem.

  • Project title: European framework for online integrated air quality and meteorology modelling.

  • Duration: January 2011 - December 2014.

  • Coordinator: Alexander Baklanov, Danish Meteorological Institute (DMI) Danemark.

  • Other partners: around 14 european laboratories, experts from United States, ECMWF.

  • Abstract: European framework for online integrated air quality and meteorology modelling (EuMetChem) - will focus on a new generation of online integrated Atmospheric Chemical Transport (ACT) and Meteorology (Numerical Weather Prediction and Climate) modelling with two-way interactions between different atmospheric processes including chemistry (both gases and aerosols), clouds, radiation, boundary layer, emissions, meteorology and climate. At least, two application areas of the integrated modelling are planned to be considered: (i) improved numerical weather prediction (NWP) and chemical weather forecasting (CWF) with short-term feedbacks of aerosols and chemistry on meteorological variables, and (ii) two-way interactions between atmospheric pollution/ composition and climate variability/change. The framework will consist of four working groups namely: 1) Strategy and framework for online integrated modelling; 2) Interactions, parameterisations and feedback mechanisms; 3) Chemical data assimilation in integrated models; and finally 4) Evaluation, validation, and applications. Establishment of such a European framework (involving also key American experts) will enable the EU to develop world class capabilities in integrated ACT/NWP-Climate modelling systems, including research, forecasting and education.

Major European Organizations with which you have followed Collaborations

  • Partner: ERCIM working group “Environmental Modeling”.

  • The working group gathers laboratories working on developing models, processing environmental data or data assimilation.

  • Partner: CWI, Amsterdam (the Netherlands)

  • The collaboration deals with data assimilation based on minimax filtering. The objective is to apply a reduced form of a minimax filter to a high-dimensional air quality model and to process satellite images.