![](\"https:\/\/www.atm.helsinki.fi\/peex\/wp-content\/uploads\/2025\/02\/logo_large_EnviroPEEXNext-ECMWF-300x168.jpg\" "\\"logo_large_EnviroPEEX(Next)-ECMWF\\""){kind=logo}
<\/span><\/div>A new 3-year high-performance computing (HPC) project entitled \u201cResearch and development for seamless modelling of meteorology \u2013 atmospheric composition on multi-scales for the Pan-Eurasian EXperiment (PEEX) domain for weather, air quality and climate applications<\/em>\u201d (Enviro-PEEX(Next) on ECMWF) has been approved by ECMWF. It is focused on research, development and applications of selected models of the PEEX-Modelling-Platform (PEEX-MP), including the seamless Enviro-HIRLAM<\/a> (Environment-HIgh Resolution Limited Area Model) modelling system.<\/p>\n The PEEX-MP (Mahura et al., 2024<\/a>) presents a strategy for best use of current generation modelling 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 seamless modelling developments are expected to be considered, including: (1)\u00a0 improved numerical weather prediction and chemical weather forecasting with short-term feedbacks of aerosols and chemistry\/aerosols on meteorological variables; (2) two-way interactions between atmospheric pollution\/ composition and climate variability\/ change; (3) 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.<\/p>\n The Enviro-PEEX(Next) on ECMWF overall objectives will be focused on (1) analysing the importance of the meteorology-chemistry\/aerosols interactions and feedback, and on (2) providing a way for development of efficient techniques for seamless coupling of NWP and ACT models via process-oriented parameterizations and feedback algorithms. Such coupling will improve the numerical weather prediction, climate and atmospheric composition forecasting.<\/p>\n The Enviro-PEEX(Next) on ECMWF emphasis is primarily on the testing and evaluation of selected models of the PEEX-Modelling-Platform and sensitivity analyses the feedback mechanisms for weather, climate and atmospheric composition modelling.<\/p>\n 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.)<\/em> are available in the \u201cEnviro-PEEX(Plus) on ECMWF HPC\u201d proposal at:<\/p>\n The Partners\/Teams, collaborating on this HPC project, are from the Ukrainian Hydrometeorological Institute (Ukraine), University of Copenhagen (Denmark), Al-Farabi Kazakh National University (Republic of Kazakhstan), Max-Planck Institute for Biogeochemistry (Germany), The Arctic University of Tromso (Norway), Finnish Meteorological Institute (Finland), and coordinated by the University of Helsinki (Finland)<\/p>\n Text by: Alexander Mahura, UHEL-INAR<\/em><\/p>\n<\/div><\/div>\n