2010AIP conference proceedingsRequires access

Exploiting GRID for Model Estimates of Regional Climate Changes and Its Impact on the Air Quality of Bulgaria

Dimiter Syrakov, Valery Spiridonov, Kostadin Ganev, Maria Prodanova, Andrey Bogatchev, N. Miloshev, Kiril Slavov, Eleni Katragkou, Dimitrios Melas, A. Poupkou, K. Markakis, Michail D. Todorov, Christo I. Christov

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Abstract

Intensive long‐term meteorological modeling took place over an area covering Bulgaria with resolution of 10 km. The climatic version of the operational weather forecast model ALADIN was applied for simulating 3 time slices: 1960–2000, 2020–2050 and 2070–2100, following the IPCC scenario A1B. The differences of climatic fields for the 3 periods are presented and interpreted. The created met‐data base is used to estimate the impact of climate changes on air quality, as well. A respective modeling System was created on the base of US EPA Models‐3 tool (MM5, CMAQ and SMOKE). Calculations for the last 10 years of each time slice are performed. Grid technology in the frame of SEE‐GRID‐SCI project is used to perform this enormous volume of calculations as an application abbreviated to CCIAQ (Climate Change Impact on Air Quality). The results are presented and interpreted in the study.

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What this paper is about

Intensive long‐term meteorological modeling took place over an area covering Bulgaria with resolution of 10 km. The climatic version of the operational weather forecast model ALADIN was applied for simulating 3 time slices: 1960–2000, 2020–2050 and 2070–2100, following the IPCC scenario A1B. The differences of climatic fields for the 3 periods are presented and interpreted. The created met‐data base is used to estimate the impact of climate changes on air quality, as well. A respective modeling System was created on the base of US EPA Models‐3 tool (MM5, CMAQ and SMOKE). Calculations for the last 10 years of each time slice are performed. Grid technology in the frame of SEE‐GRID‐SCI project is used to perform this enormous volume of calculations as an application abbreviated to CCIAQ (Climate Change Impact on Air Quality). The results are presented and interpreted in the study.

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Available abstract

Intensive long‐term meteorological modeling took place over an area covering Bulgaria with resolution of 10 km. The climatic version of the operational weather forecast model ALADIN was applied for simulating 3 time slices: 1960–2000, 2020–2050 and 2070–2100, following the IPCC scenario A1B. The differences of climatic fields for the 3 periods are presented and interpreted. The created met‐data base is used to estimate the impact of climate changes on air quality, as well. A respective modeling System was created on the base of US EPA Models‐3 tool (MM5, CMAQ and SMOKE). Calculations for the last 10 years of each time slice are performed. Grid technology in the frame of SEE‐GRID‐SCI project is used to perform this enormous volume of calculations as an application abbreviated to CCIAQ (Climate Change Impact on Air Quality). The results are presented and interpreted in the study.

Key concepts: MM5, CMAQ, Environmental science, Meteorology, Climate change, Air quality index, Grid, Climatology

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