Data Science Techniques in Weather Forecasting
Year: 2025
Type: article
Abstract: This mini research paper explores the use of data science techniques in weather forecasting. It focuses on data collection, pattern recognition, and predictive modeling to provide accurate and timely weather predictions. The study highlights the impact of data-driven approaches on disaster management, agriculture, transportation, and energy planning, emphasizing the importance of modern forecasting methods in daily life.
Author: Khan, Kaniz Fatima Busra
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: green
OpenAlex ID: W7094951143
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