Enhancing Climate Change Understanding: A Novel Deep Learning Framework with the Climate Change Parameter Model(CCPM)

One of the severe and pressing problems which humanity is facing in the 21st Century is climate change. It is adversely affecting the entire globe as is evident with the rising ocean levels, accelerated melting of glaciers, frequent storms, and many more. The need of the hour is to limit climate change by reducing greenhouse gas emissions. Machine learning algorithms have proven to be extremely effective in numerous scenarios and the experts are working to extend their uses to limit the effects of climate change. The domain is vast but in the current literature, the works in this domain are very limited. In this paper, we have tried to work in this particular direction by applying deep learning methodologies to analyze the effect of different climate factors on overall climate change. We proposed a novel climate change parameter model to predict the correlation between different climate parameters. We evaluated our scheme by validating the model on the data specific to the Jammu and Kashmir region and the model loss was found to be under $\mathbf{2 \%}$. In addition, based on our model we proposed some reactive strategies that can be implemented to keep the climate change effects under control.