Utilising key climate element variability for the prediction of future climate change using a support vector machine model

• Main Authors: Abubakar, Adamu, Haruna, Chiroma, Zeki, Akram M., Uddin, Mueen
• Format: Article
• Language: English; English
• Published: Inderscience Enterprises Ltd 2016
• Subjects: Q350 Information theory
• Online Access: http://irep.iium.edu.my/49995/1/IJGW090201_ABUBAKAR.pdf; http://irep.iium.edu.my/49995/4/49995_Utilising%20key%20climate%20element%20variability%20for%20the%20prediction%20of%20future%20climate_Scopus.pdf; http://irep.iium.edu.my/49995/; http://www.inderscienceonline.com/doi/abs/10.1504/IJGW.2016.074952

This paper proposes a support vector machine (SVM) model to advance the prediction accuracy of global land-ocean temperature (GLOT), which is globally significant for understanding the future pattern of climate change. The GLOT dataset was collected from NASA’s GLOT index (C) (anomaly with base:...