• Bhuwan Kumar Sharma
• Dr.Rajesh tyagi
• Dr. Shivani Sharma3

Artificial intelligence and machine learning are making a big impact in science in many ways, from predictions to understanding how climate change impacts ecosystems. This report summarizes the current contributions of AI and ML systems to climate change research and shows how they are used to develop predictive models to forecast climate trends, extreme weather events, and sea level rise. Distributed by Reverse Engineering producing forecasting models built with artificial intelligence (AI) algorithms is an effective way to predict climate trends, severe weather events, and sea level rises. Models that use large datasets (e.g. meteorological, geospatial, and oceanographic data) can be more accurate at predicting future climate events. In addition, AI-powered models can identify various rich patterns and nonlinear correlations among environmental data sets. As a result, AI-generated models may now contribute more to understanding how climate change impacts complex ecological systems over time. As one of the main objectives of climate change research, we must understand how climate change affects environmental consequences. High-throughput AI and ML techniques make it possible to accurately analyze biological indicators, such as deforestation rates, biodiversity loss, and saline degradation dynamics. By studying a wide range of biological factors, AI systems significantly help deepen our understanding of both the direct and indirect impacts of climate change on ecosystems. While significant benefits have been achieved thus far, there are still several challenges to be faced across different dimensions, including: – standardization of data format; – difficulty in interpretation; – ethical considerations; and – integration of AI and ML into policy frameworks; and – integration of AI and ML findings into policy structures. To provide value to the entire scientific community for its applications, an interdisciplinary approach must be a core principle. This report summarizes the current state of AI and ML applications and discusses their capabilities, the challenges they face, and the prospects for improving research on climate change and the sustainability of ecosystems.

Machine learning; Climate change, predictive models; environmental impact; Review

"AI and Machine Learning in Climate Change: Predictive Models and Environmental Impact ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.g244-g252, May-2025, Available :http://www.jetir.org/papers/JETIR2505726.pdf

"AI and Machine Learning in Climate Change: Predictive Models and Environmental Impact ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppg244-g252, May-2025, Available at : http://www.jetir.org/papers/JETIR2505726.pdf