Prevention and Management of Natural Disasters with Integrated Multidisciplinary Climatic Sensitivity and Big Data Model

The comprehension and predictability of seasonal, yearly, decadal, and hundred-year climatic performances are improved by using climate models. Models observe the level of climatic change attributable to natural variability, human activities, or a combination of both. The problematic aspects of climatic considerations include heat-related disease and death, rising industrial losses, shortages, and damaged infrastructure, which are crucial components. To sustain their way of life, an Integrated Multidisciplinary Climatic Sensitivity utilizing Big Data Model (IMCSBDM) has been suggested in this article, which would exacerbate societal issues like hunger and poverty. Research on social and climate issues has been carried out to gather information on the climate, environment, and social interactions. A superposed epoch resolution analysis is made to provide trading grounds with adaptive potential. In this suggested work, the analytical test of the simulation is carried out based on security, effectiveness, and anonymity.