Time Series Forecasting of Meteorological Parameters | A Refined Sliding Window Approach to Time Series Forecasting in Climate and Weather Data

Garima Jain (u. a.)

ISBN 10: 6208445914 / ISBN 13: 9786208445911

Published by LAP LAMBERT Academic Publishing, 2025

About this Item

Time Series Forecasting of Meteorological Parameters | A Refined Sliding Window Approach to Time Series Forecasting in Climate and Weather Data | Garima Jain (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208445911 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Seller Inventory # 133559478

Bibliographic Details

• Title: Time Series Forecasting of Meteorological Parameters | A Refined Sliding Window Approach to Time Series Forecasting in Climate and Weather Data
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2025
• Language: English
• ISBN 10: 6208445914
• ISBN 13: 9786208445911
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 167 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.