The Contribution of AI in Climate Modeling and Sustainable Decision-Making

Authors: Sibaram Prasad Panda, Mohanraju Muppala, Subramanya Bharathvamsi Koneti

DOI: https://doi.org/10.37082/IJIRMPS.v13.i3.232551

Short DOI: https://doi.org/

Country: India

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Abstract: The dual challenge of the climate crisis and increasing anthropogenic pressure highlights an urgent call for collaborative global governance for the management of sustainability to safeguard collective wellbeing. Addressing the climate change dilemma entails shared collective responsibility for ecological and social justice and, thus, provides an important context for decision-making on governance for societal transitions towards political, economic, and cultural systems that are socially inclusive, equitable, and environmentally safe. Such societal-level decisions are often abstracted by model representations of increasingly sophisticated climate models, which remain heavily reliant on numerical simulations. Particularly at local scales, bottom-up models that utilize site-specific datasets for vulnerable communities can provide estimates of climate change worldwide. However, the requirements for high-fidelity climate simulation models are the frequency and prevalence of model outputs relative specific areas of interest, such as cities and regions, as well as at the decision-support time scale of local climate mitigation and adaptation policy.

Keywords: Artificial Intelligence (AI), Machine Learning, Digital Technology, Climate, Historical Data, AI Prediction Model

Paper Id: 232551

Published On: 2025-06-04

Published In: Volume 13, Issue 3, May-June 2025

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