Assessment of Aerosol Mechanisms and Aerosol Meteorology Feedback over an Urban Airshed in India Using a Chemical Transport Model
The direct aerosol-radiative effects in the WRF-Chem model account for scattering/absorption of solar radiation due to aerosols, while aerosol–cloud interactions result in modifying wet scavenging of the ambient concentrations as an indirect aerosol effect. In this study, impact of aerosol on meteor...
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oai:doaj.org-article:a6b0837f563b4b859f8b80ac55a4015c2021-11-25T16:44:22ZAssessment of Aerosol Mechanisms and Aerosol Meteorology Feedback over an Urban Airshed in India Using a Chemical Transport Model10.3390/atmos121114172073-4433https://doaj.org/article/a6b0837f563b4b859f8b80ac55a4015c2021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4433/12/11/1417https://doaj.org/toc/2073-4433The direct aerosol-radiative effects in the WRF-Chem model account for scattering/absorption of solar radiation due to aerosols, while aerosol–cloud interactions result in modifying wet scavenging of the ambient concentrations as an indirect aerosol effect. In this study, impact of aerosol on meteorological parameters, PM<sub>10</sub> and ozone concentrations are analysed which revealed (i) that a net decrease in shortwave and longwave radiation by direct feedback results in decrease in temperature up to 0.05 K, (ii) that a net increase due to longwave and shortwave radiation when both direct and indirect effects are taken together results in an increase in temperature up to 0.25 K (where the mean of temperature is 33.5 °C and standard deviation 2.13 °C), (iii) a marginal increase in boundary layer height of 50 m with increase in temperature with feedbacks, (iv) overall net increase in radiation by direct and indirect effect together result in an increase in PM<sub>10</sub> concentration up to 12 μg m<sup>−3</sup> (with PM<sub>10</sub> mean as 84.5 μg m<sup>−3</sup> and standard deviation 28 μg m<sup>−3</sup>) and an increase in ozone concentration up to 3 μg m<sup>−3</sup> (with ozone mean as 29.65 μg m<sup>−3</sup> and standard deviation 5.2 μg m<sup>−3</sup>) mainly due to net increase in temperature. Furthermore, impact of sensitivity of different aerosol mechanisms on PM<sub>10</sub> concentrations was scrutinized for two different mechanisms that revealed underestimation by both of the mechanisms with MOSAIC scheme, showing less fractional bias than MADE/SORGAM. For the dust storm period, MOSAIC scheme simulated higher mass concentrations than MADE/SORGAM scheme and performed well for dust-storm days while closely capturing the peaks of high dust concentrations. This study is one of the first few to demonstrate the impact of both direct and indirect aerosol feedback on local meteorology and air quality using a meteorology–chemistry modelling framework; the WRF-Chem model in a tropical urban airshed in India located in semi-arid climatic zone. It is inferred that semi-arid climatic conditions behave in a vastly different manner than other climatic zones for direct and indirect radiative feedback effects.Medhavi GuptaManju MohanMDPI AGarticleaerosol–meteorology feedbackPM<sub>10</sub>ozonethe WRF-Chemaerosol mechanismsmegacity DelhiMeteorology. ClimatologyQC851-999ENAtmosphere, Vol 12, Iss 1417, p 1417 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
aerosol–meteorology feedback PM<sub>10</sub> ozone the WRF-Chem aerosol mechanisms megacity Delhi Meteorology. Climatology QC851-999 |
| spellingShingle |
aerosol–meteorology feedback PM<sub>10</sub> ozone the WRF-Chem aerosol mechanisms megacity Delhi Meteorology. Climatology QC851-999 Medhavi Gupta Manju Mohan Assessment of Aerosol Mechanisms and Aerosol Meteorology Feedback over an Urban Airshed in India Using a Chemical Transport Model |
| description |
The direct aerosol-radiative effects in the WRF-Chem model account for scattering/absorption of solar radiation due to aerosols, while aerosol–cloud interactions result in modifying wet scavenging of the ambient concentrations as an indirect aerosol effect. In this study, impact of aerosol on meteorological parameters, PM<sub>10</sub> and ozone concentrations are analysed which revealed (i) that a net decrease in shortwave and longwave radiation by direct feedback results in decrease in temperature up to 0.05 K, (ii) that a net increase due to longwave and shortwave radiation when both direct and indirect effects are taken together results in an increase in temperature up to 0.25 K (where the mean of temperature is 33.5 °C and standard deviation 2.13 °C), (iii) a marginal increase in boundary layer height of 50 m with increase in temperature with feedbacks, (iv) overall net increase in radiation by direct and indirect effect together result in an increase in PM<sub>10</sub> concentration up to 12 μg m<sup>−3</sup> (with PM<sub>10</sub> mean as 84.5 μg m<sup>−3</sup> and standard deviation 28 μg m<sup>−3</sup>) and an increase in ozone concentration up to 3 μg m<sup>−3</sup> (with ozone mean as 29.65 μg m<sup>−3</sup> and standard deviation 5.2 μg m<sup>−3</sup>) mainly due to net increase in temperature. Furthermore, impact of sensitivity of different aerosol mechanisms on PM<sub>10</sub> concentrations was scrutinized for two different mechanisms that revealed underestimation by both of the mechanisms with MOSAIC scheme, showing less fractional bias than MADE/SORGAM. For the dust storm period, MOSAIC scheme simulated higher mass concentrations than MADE/SORGAM scheme and performed well for dust-storm days while closely capturing the peaks of high dust concentrations. This study is one of the first few to demonstrate the impact of both direct and indirect aerosol feedback on local meteorology and air quality using a meteorology–chemistry modelling framework; the WRF-Chem model in a tropical urban airshed in India located in semi-arid climatic zone. It is inferred that semi-arid climatic conditions behave in a vastly different manner than other climatic zones for direct and indirect radiative feedback effects. |
| format |
article |
| author |
Medhavi Gupta Manju Mohan |
| author_facet |
Medhavi Gupta Manju Mohan |
| author_sort |
Medhavi Gupta |
| title |
Assessment of Aerosol Mechanisms and Aerosol Meteorology Feedback over an Urban Airshed in India Using a Chemical Transport Model |
| title_short |
Assessment of Aerosol Mechanisms and Aerosol Meteorology Feedback over an Urban Airshed in India Using a Chemical Transport Model |
| title_full |
Assessment of Aerosol Mechanisms and Aerosol Meteorology Feedback over an Urban Airshed in India Using a Chemical Transport Model |
| title_fullStr |
Assessment of Aerosol Mechanisms and Aerosol Meteorology Feedback over an Urban Airshed in India Using a Chemical Transport Model |
| title_full_unstemmed |
Assessment of Aerosol Mechanisms and Aerosol Meteorology Feedback over an Urban Airshed in India Using a Chemical Transport Model |
| title_sort |
assessment of aerosol mechanisms and aerosol meteorology feedback over an urban airshed in india using a chemical transport model |
| publisher |
MDPI AG |
| publishDate |
2021 |
| url |
https://doaj.org/article/a6b0837f563b4b859f8b80ac55a4015c |
| work_keys_str_mv |
AT medhavigupta assessmentofaerosolmechanismsandaerosolmeteorologyfeedbackoveranurbanairshedinindiausingachemicaltransportmodel AT manjumohan assessmentofaerosolmechanismsandaerosolmeteorologyfeedbackoveranurbanairshedinindiausingachemicaltransportmodel |
| _version_ |
1718413036279037952 |