Weather patterns refer to the recurring atmospheric conditions in a particular region over a period of time. These patterns are influenced by various factors such as temperature, air pressure, humidity, and wind.
Computer Models: Complex simulations that help predict and analyze weather patterns based on data and mathematical equations.
Observational Data: Collected from weather stations, buoys, and other monitoring systems to study long-term trends and patterns.
Conclusion
Weather patterns are dynamic and complex, influenced by a multitude of factors and phenomena. By studying these patterns, scientists and meteorologists can better understand and forecast the ever-changing weather conditions that impact our daily lives.