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@article{195688,
        author = {Aditya Dattatray Bangar and Sumi Ganesh Daesmukh and Vishwajit Anil Parade},
        title = {Climate Change: Global Impacts, Data-Driven Modeling, and Mitigation Strategies},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {2319-2325},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195688},
        abstract = {Climate change is one of the biggest problems facing human civilization and natural ecosystems. The quick increase in greenhouse gas emissions, because of industrialization, cutting down forests, and city growth, has made global warming faster. This has caused sea levels to rise, changed how rain falls, and made extreme weather events more common. This paper looks at the global effects of climate change, explores how data-driven and AI-based modeling can help with predicting climate changes, and evaluates strategies to reduce and adapt to these changes. Using data from 2000 to 2020, a clear upward warming trend is found, which matches what most climate studies say. The research also looks at recent work on using AI for weather forecasting, building resilience against climate change, and making sustainable policies. The results show that combining technological innovation, making decisions based on evidence, and working together globally are important to handle the different challenges caused by climate change.},
        keywords = {Climate change, global warming, AI modeling, data-driven forecasting, sustainability, mitigation, adaptation.},
        month = {April},
        }