Govardhan Annapureddy, Habibunnisa Syed | International Journal of Software Computing and Testing | Vol 11, Issue 1 | pp. 6-11 | ISSN: 2456-2351
Abstract
Climate change is now one of the biggest issues that affect the world today and studying its impacts for it is very significant in enabling the formulation of social policies. This paper also discusses how climate sciences, machine learning, and big data analytics can greatly help in the improvement of the current capacities in climate modeling. Explaining the methods of climate modeling, we look at how the big data offers the inputs to feed into the ML algorithms to enable them to classify patterns and produce precise estimates. Not only did these advanced models increase knowledge of climate change, but they also contributed to the formation of policies that may prevent the negative impact of climate change. Furthermore, they help to strengthen society’s coping systems by offering recommendations for problem-solving whenever decision-makers need to act in sectors, such as disaster response, food production, and city design. The study also demonstrates the possibility of using more accurate ML and big data tools in solving climate issues.
Keywords:Climate change, machine learning, big data, climate modeling, predictive analytics, environmental policy
Keywords
Predictive Analytics, climate modeling, big data, environmental policy, Machine learning, climate change
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How to cite this article
@article{AnnapureddyG2025,
author = {Govardhan Annapureddy and Habibunnisa Syed},
title = {Climate Change Modeling Using Machine Learning and Big Data},
journal = {International Journal of Software Computing and Testing},
year = {2025},
volume = {11},
number = {1},
pages = {6--11},
issn = {2456-2351},
url = {https://journalspub.com/publication/ijsct/article=18178}
}