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2024 | OriginalPaper | Buchkapitel

Aerosol Variability and Its Impact on Cloud-Precipitation Interaction in Urban Areas of Maharashtra, India

verfasst von : Asha B. Chelani, Rahul V. Vyawahare, Sneha Gautam

Erschienen in: Aerosol Optical Depth and Precipitation

Verlag: Springer Nature Switzerland

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Abstract

Aerosol-cloud-precipitation interactions in seven non-attainment cities with elevated particulate matter levels is studied. Aerosol mode analysis indicates the dominance of fine particulate matter. AOD levels are notably higher in Delhi, while other cities exhibit AOD levels with no significant trends. Correlations between Precipitation (PRCP) and Cloud Effective Radius (CER) suggest the second indirect effect. A random forest model highlights AOD and Cloud Fraction (CF) as key predictors of PRCP, with meteorological factors dominating Delhi. The study underscores the complexity and spatiotemporal variability of aerosol-cloud-precipitation interactions, necessitating a multifaceted approach for a comprehensive understanding.

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Albrecht, B. A. (1989). Aerosols cloud microphysics and fractional cloudiness. Science, 245, 1227–1230.CrossRef

Balakrishnaiah, G., Kumar, S., Reddy, B., Rama Gopal, K., Reddy, R. R., Reddy, L., Swamulu, C., Nazeer Ahammed, Y., Narasimhulu, K., KrishnaMoorthy, K., & Suresh Babu, S. (2012). Spatio-temporal variations in aerosoloptical and cloud parameters over Southern India retrieved from MODIS satellite data. Atmospheric Environment, 47, 435–445.CrossRef

Berhane, S. A., & Bu, L. (2021). Aerosol—cloud interaction with summer precipitation over major cities in Eritrea. Remote Sensing, 13(4), 677.CrossRef

Breiman, L. (2001). Random Forests. Machine Learning, 45, 5–32. https://doi.org/10.1023/A:1010933404324CrossRef

Camponogara, G., Dias, M. A., & FSilva Carri’o, G. G. (2014). Relationship between Amazon biomass burning aerosols and rainfall over the La Plata Basin. Atmospheric Chemistry and Physics, 14, 4397–4407.CrossRef

Census of India. (2011). https://censusindiagovin/censuswebsite/data/population-finder

Cheng, F., Zhang, J., He, J., Zha, Y., Li, Q., & Li, Y. (2016). Analysis of aerosol-cloud-precipitation interactions based on MODIS data. Advances in Space Research. https://doi.org/10.1016/jasr201608042

Choudhury, G., Tyagi, B., Vissa, N. K., Singh, J., Sarangi, C., Tripathi, S. N., & Tesche, M. (2020). Aerosol-enhanced high precipitation events near the Himalayan foothills. Atmospheric Chemistry and Physics, 20(23), 15389–15399.CrossRef

Freud, E., Rosenfeld, D., Andreae, M., Costa, A., & Artaxo, P. (2008). Robust relations between CCN and the vertical evolution of cloud drop size distribution in deep convective clouds. Atmospheric Chemistry and Physics, 8, 1661–1675.CrossRef

Gautam, S., Gautam, A. S., Singh, K., James, E. J., & Brema, J. (2021). Investigations on the relationship among lightning aerosol concentration and meteorological parameters with specific reference to the wet and hot humid tropical zone of the southern parts of India. Environmental Technology & Innovation, 22, 101414.CrossRef

Huang, J., Zhang, C., & Prospero, J. M. (2009). African aerosol and large-scale precipitation variability over West Africa. Environmental Research Letters, 4(1), 015006.CrossRef

Huang, J., Bu, L., Kumar, K. R., Khan, R., & Devi, N. L. (2020). Investigating the relationship between aerosol and cloud optical properties inferred from the MODIS sensor in recent decades over East China. Atmospheric Environment, 239, 117812.CrossRef

Jantarach, T., Masiri, I., & Janjai, S. (2012). Comparison of MODIS aerosol optical depth retrievals with ground-based measurements in the tropics. Procedia Engineering, 32, 392–398.CrossRef

Jasmine, M. K., Aloysius, M., Jayaprakash, R., Fathima, C. P., Prijith, S. S., & Mohan, M. (2022). Investigation on the role of aerosols on precipitation enhancement over Kerala during August 2018. Atmospheric Environment, 279, 119101.CrossRef

Jiang, T. T., Chen, B., Nie, Z., Zhehao, R., Xu, B., & Tang, S. (2020). Estimation of hourly full-coverage PM₂₅ concentrations at 1-km resolution in China using a two-stage random forest model. Atmospheric Research. https://doi.org/10.1016/jatmosres2020105146

Jones, T. A., & Christopher, S. A. (2010). Statistical properties of aerosol-cloud-precipitation interactions in South America. Atmospheric Chemistry and Physics, 10(5), 2287–2305.CrossRef

Kaminska, J. A. (2018). The use of random forests in modelling short-term air pollution effects based on traffic and meteorological conditions: A case study in Wrocław. Journal of Environmental Management, 217, 164–174.CrossRef

Kant, S., Panda, J., Pani, S. K., & Wang, P. K. (2019a). Long-term study of aerosol–cloud–precipitation interaction over the eastern part of India using satellite observations during pre-monsoon season. Theoretical and Applied Climatology, 136(1), 605–626.CrossRef

Kant, S., Panda, J., & Gautam, R. (2019b). A seasonal analysis of aerosol-cloud-radiation interaction over Indian region during 2000–2017. Atmospheric Environment, 201, 212–222.CrossRef

Kant, S., Panda, J., & Manoj, M. G. (2019c). A satellite observation-based analysis of aerosol-cloud-precipitation interaction during the February 2016 unseasonal heatwave episode over Indian region. Aerosol and Air Quality Research, 19(7), 1508–1525.CrossRef

Kant, S., Panda, J., Rao, P., Sarangi, C., & Ghude, S. D. (2021). Study of aerosol-cloud-precipitation-meteorology interaction during a distinct weather event over the Indian region using WRF-Chem. Atmospheric Research, 247, 105144.CrossRef

Kaskaoutis, D. G., Badarinath, K. V. S., Kharol, S., Sharma, A., & Kambezidis, H. D. (2009). Variations in the aerosol optical properties and types over the tropical urban site of Hyderabad India. Journal of Geophysical Research, 114(1–20), D22204.

King, M. D., Platnick, S., Menzel, W. P., Ackerman, S. A., & Hubanks, P. A. (2013). Spatial and temporal distribution of clouds observed by MODIS onboard the Terra and Aqua satellites. IEEE Transactions on Geoscience and Remote Sensing, 51(7), 3826–3852.

Koren, I., Remer, L. A., Altaratz, O., Martins, J. V., & Davidi, A. (2010). Aerosol-induced changes of convective cloud anvils produce strong climate warming. Atmospheric Chemistry and Physics, 10(10), 5001–5010.CrossRef

Kumar, A. (2013). Variability of aerosol optical depth and cloud parameters over North Eastern regions of India retrieved from MODIS satellite data. Journal of Atmospheric and Solar-Terrestrial Physics, 100–101, 34–49.CrossRef

Kumar, A. (2014). Long term (2003–2012) spatio-temporal MODIS (Terra/Aqua level 3) derived climatic variations of aerosol optical depth and cloud properties over a semi arid urban tropical region of Northern India. Atmospheric Environment, 83, 291–300.CrossRef

Lin, J., Shen, X., Xing, J., Che, H., & Holben, B. N. (2021). Analysis of aerosol type and fine- and coarse-mode aerosol direct radiative forcing over regions in East and Southeast Asia based on AERONET Version 3 Data. Aerosol Physics and Instrumentation, 21(7), 200503.

Leena, P. P., Sravanthi, N., Anil Kumar, V., Pandithurai, G., & Panicker, A. S. (2021). Aerosol–cloud–rainfall properties inferred from satellite observations over different regions of the Indian subcontinent: variability trends and relationships during the summer monsoon. Pure and Applied Geophysics, 178, 4619–4631.CrossRef

Manoj, M. G., Devara, P. C. S., Rao, Y. J., & Sonbawne, S. M. (2013). Lidar investigation of aerosol–cloud–precipitation interactions over a tropical monsoon environment: recharging of atmosphere. Journal of Atmospheric and Solar - Terrestrial Physics, 93, 80–86.CrossRef

McFiggans, G., Artaxo, P., Baltensperger, U., Coe, H., Facchini, C., Feingold, G., Fuzzi, S., Gysel, M., Laaksonen, A., Lohmann, U., Mentel, T., Murphy, D., O’Dowd, C., & Snider, J. (2006). The effect of physical & chemical aerosol properties on warm cloud droplet activation. Atmospheric Chemistry and Physics, 6, 2593–2649.CrossRef

Nandini, G., Vinoj, V., & Pandey, S. K. (2022). Arabian Sea aerosol-Indian summer monsoon rainfall relationship and its modulation by El-nino southern oscillation. npj Climate and Atmospheric. Science, 5(1), 25.

Nyasulu, M., Haque, M. M., Musonda, B., & Fang, C. (2022). The long-term spatial and temporal distribution of aerosol optical depth and its associated atmospheric circulation over Southeast Africa. Environmental Science and Pollution Research, 29(20), 30073–30089.CrossRef

Panda, J., & Kant, S. (2021). Impact of urban and semi-urban aerosols on the cloud microphysical properties and precipitation. In Air Pollution and Its Complications: From the Regional to the Global Scale (pp. 25–36).CrossRef

Pathak, B., Bhuyan, P. K., Gogoi, M., & Bhuyan, K. (2012). Seasonal heterogeneity in aerosol types over Dibrugarh-North-Eastern India. Atmospheric Environment, 47, 307–315.CrossRef

Platnick, S., King, M. D., Ackerman, S. A., Menzel, W. P., Baum, B. A., Ri’edi, J. C., & Frey, R. A. (2003). The MODIS cloud products: algorithms and examples from Terra. IEEE Transactions on Geoscience and Remote Sensing, 41(2), 459–473.CrossRef

R Core Development Team. (2021). R: A language and environment for statistical computing R Foundation for Statistical Computing Vienna Austria https://www.R-project.org/

Ramachandran, S., & Kedia, S. (2013). Aerosol-Precipitation Interactions over India: Review and Future Perspectives. Advances in Meteorology, Article ID 649156. https://doi.org/10.1155/2013/649156

Rezaei, M., Farajzadeh, M., & Kant, S. (2023). The observational evidence of association between types of aerosol mode-cloud-precipitation interaction over Iran. Atmospheric Pollution Research, 14, 101760.CrossRef

Rosenfeld, D. (2000). Suppression of rain and snow by urban and industrial air pollution. Science, 287(5459), 1793–1796.CrossRef

Sarkar, A., Panda, J., Kant, S., & Mukherjee, A. (2022). Influence of smoke aerosols on low level clouds over the Indian region during winter. Atmospheric Research, 278, 106358.CrossRef

Sekiguchi, M., Nakajima, T., Suzuki, K., Kawamoto, K., Higurashi, A., Rosenfeld, D., Sano, I., & Mukai, S. (2009). A study of the direct and indirect effects of aerosols using global satellite data sets of aerosol and cloud parameters. Journal of Geophysical Research, 108, 4699.

Shaeb, K. H. B., Joshi, A. K., & Moharil, S. V. (2014). Aerosol optical properties and types over Nagpur Central India. Sustainable Environment Research, 24(1), 29.

Sharma, P., Ganguly, D., Sharma, A. K., Kant, S., & Mishra, S. (2023). Assessing the aerosols clouds and their relationship over the northern Bay of Bengal using a global climate model. Earth and Space Science, 10(2), e2022EA002706.CrossRef

Srivastava, S., Ramachandran, S., Rajesh, T. A., & Kedia, S. (2011). Aerosol radiative forcing deduced from observations and models over an urban location and sensitivity to single scattering albedo. Atmospheric Environment, 45(34), 6163–6171.CrossRef

Stafoggia, M., Johansson, C., Glantz, P., Renzi, M., Shtein, A., Hoogh, K. D., Kloog, I., Davoli, M., Michelozzi, P., & Bellander, T. (2020). A random forest approach to estimate daily particulate matter nitrogen dioxide and ozone at fine spatial resolution in Sweden. Atmosphere, 11, 239.CrossRef

Tang, J., Wang, P., Mickley, L. J., Xia, X., Liao, H., Yue, X., & Xia, J. (2014). Positive relationship between liquid cloud droplet effective radius and aerosol optical depth over Eastern China from satellite data. Atmospheric Environment, 84, 244–253.CrossRef

Tao, W.-K., Li, X., Khain, A., Matsui, T., Lang, S., & Simpson, J. (2007). The role of atmospheric aerosol concentration on deep convective precipitation: cloud-resolving model simulations. Journal of Geophysical Research, D24S18. https://doi.org/10.1029/2007JD008728112

Tiwari, S., Kumar, K., Singh, S., & Kumar, A. (2023). Current status of aerosol-cloud interactions and their impact over the Northern Indian Ocean: A comprehensive review. Atmospheric Research, 283, 106555.CrossRef

Twomey, S. (1977). The influence of pollution on the shortwave albedo of clouds. Journal of the Atmospheric Sciences, 34(7), 1149–1152.CrossRef

Wang, Z., Liu, D., Wang, Z., Wang, Y., Khatri, P., Zhou, J., Takamura, T., & Shi, G. J. (2014). Seasonal characteristics of aerosol optical properties at the SKYNET Hefei site (31.90°N, 117.17°E) from 2007 to 2013. Journal of Geophysical Research, 119, 6128–6139.

Titel: Aerosol Variability and Its Impact on Cloud-Precipitation Interaction in Urban Areas of Maharashtra, India
verfasst von: Asha B. Chelani
Rahul V. Vyawahare
Sneha Gautam
Verlag: Springer Nature Switzerland
Buch: Aerosol Optical Depth and Precipitation
Print ISBN: 978-3-031-55835-1

Electronic ISBN: 978-3-031-55836-8

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-55836-8_3