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Linkage of aerosol optical depth with rainfall and circulation parameters over the Eastern Gangetic Plains of India

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Abstract

The aerosol optical depth (AOD) is an important physical parameter and dimensionless number. The possible link between AOD and variability of summer monsoon rainfall and surface temperature over the densely populated Gangetic Plain may be used to assess change in weather and climate over the Plain. For examining the impact of AOD on summer monsoon rainfall and surface temperature, monthly data of AOD for the period of 2000–2015 are obtained from a remotely sensed moderate resolution imaging spectro-radiometer sensor at 550 nm and at a surface resolution of \(1{^{\circ }}\times 1{^{\circ }}\). For the period of 2000–2015, rainfall and surface temperature data at a resolution of \(1{^{\circ }}\times 1{^{\circ }}\) are obtained from Indian Meteorological Department (IMD) and surface wind data are obtained from National Centers for Environmental Prediction (NCEP). Summer monsoon rainfall and AOD are inversely related during 2000–2015. On an average, a difference in the mean monthly surface maximum and minimum temperatures increases (decreases) with a decrease (increase) of AOD. The high degree of correlation exists between AOD and a difference in \(T_{\mathrm{max}}\) and \(T_{\mathrm{min}}\) during January to June–July. In winter months, relative strength of negative vorticity over the Gangetic Plain and positive vorticity in the adjacent area may be cause of more dispersion of AOD in February in comparison with that in December and January and therefore more AOD is noticed in January and December.

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The authors do not have any conflict of interest and all authors have given consent for publication in the esteemed journal. The authors acknowledge Indian Meteorological Department, India and MODIS for providing us the gridded data.

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Sarthi, P.P., Kumar, S., Barat, A. et al. Linkage of aerosol optical depth with rainfall and circulation parameters over the Eastern Gangetic Plains of India. J Earth Syst Sci 128, 171 (2019). https://doi.org/10.1007/s12040-019-1204-8

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