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 ...
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