A Survey on Global Weather Forecasting: Models, Techniques, and Emerging Trends
Date Published : 25 June 2026
Contributors
M.Narender
ACE Engineering College
Author
Keywords
Global Weather Forecasting
Numerical Weather Prediction
Deep Learning
Climate Modeling
Federated Learning
Spatio-Temporal Models
Proceeding
Track
Engineering and Sciences
License
Copyright (c) 2026 Sustainable Global Societies Initiative

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Abstract
The forecasting of world weather patterns assists in the prediction of qualitative and quantitative measurements of various atmospheric variables like temperature, humidity, atmospheric pressure, wind, precipitation, and cloudiness over national or global scales for a long-range period. The world is witnessing a very rapid development in the field of weather forecasting because of the rapid advancement of numerical models, satellite observations, and AI.
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How to Cite
Machha, N. (2026). A Survey on Global Weather Forecasting: Models, Techniques, and Emerging Trends. Sustainable Global Societies Initiative, 1(5). https://vectmag.com/sgsi/paper/view/564