Abstract
The present work aims to provide an overall view of the HPC facilities implementation for studying the regional atmospheric pollution transport and transformation processes of Bulgaria. The study aims at revealing the main features of the atmospheric composition of Bulgaria climate and at tracking and characterizing the main pathways and processes that lead to atmospheric composition formation in the country.
The US EPA Models–3 system is chosen as a modeling tool. As NCEP Global Analysis Data with 1\(^\circ \) resolution is used as a meteorological background, the nesting capacities of WRF and CMAQ are used to reduce simulations over Bulgaria to 9 km. The Bulgarian national inventory is applied within the territory of the country and the TNO emission inventory is used as emission input outside of Bulgaria. Special pre-processing procedures are created for introducing temporal profiles and speciation of the emissions.
The study is based on a large number of numerical simulations carried out day by day between 2007–2014. The simulations were performed on the supercomputer Avitohol of IICT–BAS. The following atmospheric composition characteristics will be demonstrated, on the example of the coarse particulate matter, and discussed in the Paper:
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1)
Seasonal and annual concentration field’s pattern, with their typical diurnal course;
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2)
Evaluation of the contribution of different dynamic and transformation processes to the formation of the atmospheric composition of the country’s climate;
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3)
Vertical structure of the atmospheric composition fields, considered from a point of view of dynamic and transformation processes interaction.
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Acknowledgements
This work has been accomplished with the financial support by the Grant No BG05M2OP001-1.001-0003, financed by the Science and Education for Smart Growth Operational Program (2014–2020) and co-financed by the European Union through the European structural and Investment funds.
Project “NATIONAL GEO-INFORMATION CENTER”, subject of the National Road Map for Scientific Infrastructure 2017–2023, funded by Contr. No D 1-161/28.08.2018.
The present work is supported by the Bulgarian National Science Fund (grant DN-04/2/13.12.2016).
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Gadzhev, G., Ganev, K., Mukhtarov, P. (2021). HPC Simulations of the Atmospheric Composition Bulgaria’s Climate (On the Example of Coarse Particulate Matter Pollution). In: Dimov, I., Fidanova, S. (eds) Advances in High Performance Computing. HPC 2019. Studies in Computational Intelligence, vol 902. Springer, Cham. https://doi.org/10.1007/978-3-030-55347-0_19
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