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Dynamical Model of Daily CO Concentration Over Delhi:Assessment of Forecast Potential


Affiliations
1 CSIR Fourth Paradigm Institute (Formerly C-MMACS), Belur Campus, Wind Tunnel Road, Bengaluru 560 037, India
 

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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  • Dynamical Model of Daily CO Concentration Over Delhi:Assessment of Forecast Potential

Abstract Views: 363  |  PDF Views: 122

Authors

Jurismita Baruah
CSIR Fourth Paradigm Institute (Formerly C-MMACS), Belur Campus, Wind Tunnel Road, Bengaluru 560 037, India
Prashant Goswami
CSIR Fourth Paradigm Institute (Formerly C-MMACS), Belur Campus, Wind Tunnel Road, Bengaluru 560 037, India

Abstract


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.



DOI: https://doi.org/10.18520/cs%2Fv108%2Fi7%2F1369-1374