Research and development for integrated meteorology – atmospheric composition multi-scales and – processes modelling for the Pan-Eurasian EXperiment (PEEX) domain for weather, air quality and climate applications (Enviro-PEEX(Plus) on ECMWF, 2021-2023)

Research, Development and Application for PEEX-Modelling-Platform

The PEEX-MP presents a strategy for best use of current generation modeling tools to improve process understanding and improve predictability on different timescales within the PEEX domain, and also presents potential future developments. A number of application areas of new integrated modelling developments are expected to be considered, including: (i) improved numerical weather prediction (NWP) and chemical weather forecasting (CWF) with short-term feedbacks of aerosols and chemistry on meteorological variables; (ii) two-way interactions between atmospheric pollution/ composition and climate variability/ change; (iii) better prediction of atmosphere and/or ocean state through closer coupling between the component models to represent the two-way feedbacks and exchange of the atmospheric and ocean boundary layer properties.

The PEEX-MP focuses on new generation of integrated models and is based on the seamless Earth System Modelling (ESM) approach to evolve from separate model components to seamless meteorology-composition-environment models to address challenges in weather, climate and atmospheric composition fields whose interests, applications and challenges are now overlapping. Several models, being a part of the PEEX-MP, are to be further developed and tested in this HPC project.

The overall objectives will be to analyse the importance of the meteorology-chemistry-aerosols interactions and feedbacks and to provide a way for development of efficient techniques for on-line coupling of numerical weather prediction and atmospheric chemical transport via process-oriented parameterizations and feedback algorithms, which will improve the numerical weather prediction, climate and atmospheric composition forecasting. If you are interested in to join the PEEX-MP-Working Group, please contact Alexander Mahura, Institute for Atmospheric and Earth System Research, INAR/Physics, University of Helsinki

Expected Results

The main on-line integrated application areas are expected for improving:

  • (i) numerical weather prediction with short-term feedbacks of aerosols and chemistry on meteorological variables;
  • (ii) atmospheric composition forecasting with two-way feedbacks between aerosols/chemistry and meteorology;
  • (iii) coupling of aerosols and chemistry aiming towards better description of aerosols and relevant microphysical processes, and their effect on radiative fluxes and clouds;
  • (iv) understanding and ability in prediction of chemical and physical processes related to the formation and growth of atmospheric particles.

The emphasis is primarily on the evaluation and testing of selected PEEX-MP models and especially, the online integrated Enviro-HIRLAM/ HARMONIE/ EC-Earth modelling systems and sensitivity analyses the feedback mechanisms for weather, climate and atmospheric composition modelling.

The simulations are expected for:

  • (i) short-term case studies with physical and chemical weather downscaling forecasting to evaluate sensitivity of aerosol effects on meteorology, atmospheric composition and climate;
  • (ii) episodes for weather, climate and air quality applications to evaluate possible effects;
  • (iii) testing parameterisations, meteorological and chemical initial and boundary conditions, and chemical data assimilation.

The computational resources will be used mainly to experiment with newly developed components of the modelling systems and evaluate their performance and sensitivity to feedbacks. In-depth validation and intensive testing of all of these developments will be carried out at UHEL, mentioned Universities and research institutions as well as ECMWF environments.

Contact Information

More details (extended introduction, models for research and development, scientific developments, overview of projects that benefits, partners of the project, workplan with main application areas and expected simulations, new developments towards PEEX-Modelling-Platform, etc.) are available in the “Enviro-PEEX(Plus) on ECMWF HPC” proposal at:

Project Partners/ Teams

  • UHEL – University of Helsinki, Finland;
  • UCPH – University of Copenhagen, Denmark;
  • FMI – Finnish Meteorological Institute, Finland;
  • OSENU – Odessa State Environmental University, Ukraine;
  • ITU – Istanbul Technical University, Turkey;
  • UoLA – University of L’Aquila, Italy;
  • RSHU – Russian State Hydrometeorological University, Russia;
  • UHMI – Ukrainian Hydrometeorological Institute, Ukraine;
  • ICMMG – Institute Computational Mathematics and Mathematical Geophysics, Russia;
  • NIERSC – Nansen International Environmental and Remote Sensing Centre, Russia;
  • TShNUK – Taras Shevchenko National University of Kyiv, Ukraine;
  • MSU – Moscow State University, Russia;
  • SPBU – St. Petersburg State University, Russia;
  • KSC – Kola Science Center, Russia;
  • UTMN – University of Tyumen, Russia.