Time Series Analysis of Climatic Change: Trends in Temperature and Rainfall

N, Mani; S, Rithika; P.K, Sivakumaran

ISBN 10: 6207996127 / ISBN 13: 9786207996124

Published by LAP LAMBERT Academic Publishing, 2025

About this Item

Seller Inventory # I-9786207996124

Bibliographic Details

• Title: Time Series Analysis of Climatic Change: Trends in Temperature and Rainfall
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2025
• Language: English
• ISBN 10: 6207996127
• ISBN 13: 9786207996124
• Binding: Soft cover
• Condition: New

About this title

Synopsis

This book explores the importance of accurate rainfall forecasting for water resource management, agriculture, and disaster preparedness. It presents a comparative analysis of two forecasting models—Support Vector Regression (SVR) and Seasonal Auto Regressive Integrated Moving Average (SARIMA)—using historical rainfall data from 2008 to 2021 to predict trends from 2022 to 2026. Through statistical and visualization techniques such as trend analysis, moving averages, box plots, heatmaps, Z-scores, and density plots, the study identifies patterns and anomalies in rainfall data. While both models show good predictive ability, SVR demonstrates superior performance, especially in capturing complex, non-linear patterns. The book highlights the advantages of integrating machine learning methods with traditional statistical tools to improve rainfall forecasting and support data-driven decisions in agriculture, environmental planning, and climate resilience.