Digital Twin and Blockchain for Smart Cities

7Enhancing Weather Data Forecasting: A Comprehensive Approach with Advanced Statistical Techniques for Accurate Modeling of Atmospheric Dynamics and Climate Pattern Adaptation

Asadi Srinivasulu¹*, Goddindla Sreenivasulu², Gayathri R.³, Rajasekaran S.⁴, Shaik Mastan Vali⁴, P. Dolly Diana⁵, Nenavath Abhiram Naik⁶ and Tarkeshwar Barua⁷

¹Global Centre for Environmental Remediation, College of Engineering, Science and Environment, The University of Newcastle, Callaghan, NSW, Australia

²Department of Biotechnology, Prathyusha Engineering College, Chennai, India

³Department of Research and Development, Sree Dattha Institute of Engineering and Science, Sheriguda, Greater Hyderabad, India

⁴College of Computing and Information Sciences, University of Technology and Applied Sciences, Ibri, Sultanate of Oman

⁵Karunya School of Management, Karunya Institute of Engineering and Sciences, Coimbatore, India

⁶Indian Institute of Information Technology, Allahabad, UP, India

⁷BlueCrest University, Monrovia, Liberia

Abstract

Forecasting weather data involves employing scientific methodologies and computational models to anticipate atmospheric conditions offering insights into upcoming weather patterns. Forecasting weather data with statistical tools poses a challenge due to the intricate nature of atmospheric systems, potentially limiting the accurate capture of dynamic weather phenomena. Additionally, adapting statistical models to address the ongoing impact of rapidly changing climate patterns ...