Role Of Data Science In Improving Climate Change Model

Authors: Prof.P.E.Pawarl, Ms. Mansi Mali, Ms.Anushka Salunkhe, Ms. Harshada Shinde, Ms.Sanika Yadav, Ms. Prachi Kharat, Ms. Prachi Davri, Ms.Shardha Gaokar, Ms.Gaytri Chavan, Ms. Kajal Pawar

Abstract: – Data science has gained prominence in various countries as they explore how it can aid in addressing challenges related to climate change. Through data -driven analysis, it is to shape effective policies and interventions that benefit communities affected by climate- related issues. This paper explores the expanding role of data science not only in measuring human-induced climate change but also in guiding impact assessments and strategic actions across sectors sensitive to environmental shifts. As the convergence of artificial intelligence (AI), machine learning (ML), and climate change research continues to evolve, ongoing interdisciplinary collaboration is vital to fully leverage these technologies in protecting our planet. Environmental impact assessment is a key component of climate research, and AI and ML are playing a crucial role in enhancing its accuracy and effectiveness. Given the global magnitude of climate change, precise modeling and forecasting are essential for minimizing its adverse effects.

DOI: http://doi.org/