Executive Summary | Open Access
Volume 1 | Issue 1 | https://doi.org/10.17311/sd.2025.39.42

Improving Global Weather Prediction Using a Coupled Global Model

    Solomon Ubani

    Department of Social Sciences, ACE College for Women, Faisalabad 38090, Pakistan

    Isidora Jankov

    National Academies, 500 Fifth St., N.W., Washington, D.C. 20001, United States of America

This research aimed to improve global weather prediction by utilizing a coupled global model and geospatial real-time weather patterns from a synchronous data repository. A coupled global model is a numerical model that simulates the interactions between the atmosphere, ocean and land surface. Geospatial real-time weather patterns are weather patterns that are represented in a geospatial format and are updated in real-time. A synchronous data repository is a database that stores data that is updated in real-time.

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APA-7 Style
Ubani, S., Jankov, I. (2025). Improving Global Weather Prediction Using a Coupled Global Model. Science Digest, 1(1), 39-42. https://doi.org/10.17311/sd.2025.39.42

ACS Style
Ubani, S.; Jankov, I. Improving Global Weather Prediction Using a Coupled Global Model. Science Digest 2025, 1, 39-42. https://doi.org/10.17311/sd.2025.39.42

AMA Style
Ubani S, Jankov I. Improving Global Weather Prediction Using a Coupled Global Model. Science Digest. 2025; 1(1): 39-42. https://doi.org/10.17311/sd.2025.39.42

Chicago/Turabian Style
Ubani, Solomon, and Isidora Jankov. 2025. "Improving Global Weather Prediction Using a Coupled Global Model" Science Digest 1, no. 1: 39-42. https://doi.org/10.17311/sd.2025.39.42

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