Time Series Forecasting of Meteorological Parameters

Bys: Jain, Garima, Jain, Ankush, Jaiswal, Anuj

This book focuses on the time series forecasting of critical meteorological parameters including temperature, rainfall, humidity, and wind. It explores classical statistical models such as ARIMA, Holt-Winters, and Exponential Smoothing, along with a novel enhancement-the Modified Sliding Window Algorithm. The objective is to improve prediction accuracy in meteorological datasets by applying adaptive techniques. Real-time weather data has been analyzed using these models, and a comparative study highlights the performance of each. This work is beneficial for researchers, meteorologists, and data scientists working in climate modeling and weather prediction.

• Format: Paperback
• Language: English
• ISBN: 6208445914
• ISBN13: 9786208445911
• Release Date: May 2025
• Publisher: LAP Lambert Academic Publishing
• Length: 100 Pages
• Weight: 0.32 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"