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This paper addresses to the problem of urban-scale emission uncertainty, and related impact of this uncertainty on the forecasted model outputs. The computations are provided for the Warsaw Metropolitan Area, Poland, and encompass one-year forecast for the 2005 meteorological dataset. Detailed analysis of key uncertainty factors is based on the Monte Carlo technique where the regional scale CALPUFF model is the main forecasting tool for air pollution predictions.
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Projects co-financed by:
Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.