Climate Change Prediction and Analysis Using Machine Learning

E. Sindhuja, M. Shaheda Begum, U. Shanthi, E. Neha, Y. Madhurima

2025

Abstract

Climate change poses a significant threat to ecosystems, economies, and human societies, necessitating accurate prediction and analysis for effective mitigation and adaptation strategies. Machine Learning (ML) has emerged as a powerful tool in climate science, offering enhanced predictive capabilities by analyzing vast datasets and identifying complex patterns in climate-related variables. This paper explores the application of ML techniques, including Deep Neural Networks (DNNs), Support Vector Machines (SVMs), and Long Short-Term Memory (LSTM) networks, in areas such as climate modeling, extreme weather event prediction, carbon emission monitoring, and drought forecasting. Additionally, we discuss the challenges associated with data quality, computational requirements, and model interpretability. Future directions emphasize the integration of hybrid AI-physics models, real-time climate monitoring, and AI-driven policy recommendations to enhance climate resilience.

Paper Citation

in Harvard Style

Sindhuja E., Begum M., Shanthi U., Neha E. and Madhurima Y. (2025). Climate Change Prediction and Analysis Using Machine Learning. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 401-406. DOI: 10.5220/0013899100004919

in Bibtex Style

@conference{icrdicct`2525,
author={E. Sindhuja and M. Begum and U. Shanthi and E. Neha and Y. Madhurima},
title={Climate Change Prediction and Analysis Using Machine Learning},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={401-406},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013899100004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Climate Change Prediction and Analysis Using Machine Learning
SN - 978-989-758-777-1
AU - Sindhuja E.
AU - Begum M.
AU - Shanthi U.
AU - Neha E.
AU - Madhurima Y.
PY - 2025
SP - 401
EP - 406
DO - 10.5220/0013899100004919
PB - SciTePress