Research Article
Leveraging AI and Analytics in Climate Science: Enhancing Predictions and Sustainability Practices
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 186 - Issue 24 |
| Published: June 2024 |
| Authors: Anshumali Ambasht |
10.5120/ijca2024923694
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Anshumali Ambasht . Leveraging AI and Analytics in Climate Science: Enhancing Predictions and Sustainability Practices. International Journal of Computer Applications. 186, 24 (June 2024), 10-16. DOI=10.5120/ijca2024923694
@article{ 10.5120/ijca2024923694,
author = { Anshumali Ambasht },
title = { Leveraging AI and Analytics in Climate Science: Enhancing Predictions and Sustainability Practices },
journal = { International Journal of Computer Applications },
year = { 2024 },
volume = { 186 },
number = { 24 },
pages = { 10-16 },
doi = { 10.5120/ijca2024923694 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2024
%A Anshumali Ambasht
%T Leveraging AI and Analytics in Climate Science: Enhancing Predictions and Sustainability Practices%T
%J International Journal of Computer Applications
%V 186
%N 24
%P 10-16
%R 10.5120/ijca2024923694
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper explores the transformative potential of artificial intelligence (AI) and data analytics in climate science, specifically their roles in improving weather pattern predictions, assessing the impacts of climate change, and enhancing sustainability practices. By integrating advanced computational models, big data, and machine learning techniques, researchers and policymakers can gain deeper insights into climate dynamics, optimize resource management, and develop effective strategies to mitigate environmental degradation. The outcomes discussed in this research highlight the significant improvements in predictive accuracy and operational efficiency, underscoring the critical role of AI and analytics in addressing global climate challenges.
References
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