• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Time Series Forecasting of Meteorological Parameters

Time Series Forecasting of Meteorological Parameters

Paperback

Probability & Statistics

ISBN10: 6208445914
ISBN13: 9786208445911
Publisher: LAP Lambert Academic Publishing
Published: May 20 2025
Pages: 100
Weight: 0.32
Height: 0.24 Width: 6.00 Depth: 9.00
Language: English
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.

Also in

Probability & Statistics