Current Science

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Advance and accurate forecasts of air pollutant concentrations have many applications at different scales, from traffic planning to health advisories. However, such models need to incorporate local factors and must be validated against local observations for applicability. It has been shown earlier that a dynamical model successfully simulates, in forecast mode, the observed (CPCB, India) daily concentrations of SPM, RSPM, SO2 and NO2 over Delhi. The present work shows that the model skill is also significant in predicting CO. Together with our earlier results, the present work to the robustness and enhanced scope of dynamical forecast of air pollution.

Keywords

Air Pollution, Carbon Monoxide, Dynamical Model, Mesoscale Forecast.
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