Rainfall dynamics has been being one of the least understood topics and has been affecting human civilization sincetime immemorial. Because of its all-pervading effect on all aspects of the society, starting from the day-to-day livingof mankind to agriculture, industry, aviation, weather monitoring, and weather forecast, etc., probably it stands outto be the most significant factor that needs attention. Moreover, change in rainfall pattern all over the worldnecessitates an investigation of this parameter in-depth.The tropics play an essential role in regulating the atmospheric heat engine. So, the cloud characteristics in thisregion demand careful attention and understanding.In this paper the authors have investigated rainfall and upper air meteorological elements, viz. the cloud liquid water(CLW), the precipitation water (PW) and the latent heat (LH) derived from the data product 2A12 of the TropicalMicrowave Imager (TMI) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite over four tropicallocations in India, namely Bangalore (12.97N, 77.59E), Bhubaneswar (20.29N, 85.82E), Calcutta (22.57N, 88.36E),and Gadanki (13.45N, 9.16E). The study shows that the rainfall can be predicted with excellent accuracy based onthe cloud liquid water (CLW), the precipitation water (PW), and the latent heat (LH). It is further found out from theinvestigation that though all these parameters can predict rainfall independently, all the elements put together canpredict rainfall with greater accuracy. The paper presents functional relationships between rainfall and theseparameters. These relationships can be used for quantitative estimation of rainfall in the data-sparse region. Thearticle also highlights the vertical profile of these parameters starting from the Earth's surface up to 18 km above.The article describes the characterization technique for convective/stratiform dominance on surface rainfall.
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