Applications of Data Science for Climate Change Management Introduction One of the greatest problems of the 21st century is anthropogenic climate change, which can have devastating effects on the environmental, social, and governance (ESG) scales. Climate data is already used for meteorological predictions and health analysis of atmospheric particles, such as PM2.5[1]. In ESG, there are new applications being developed for climate data for risk management, asset evaluation and control measures for financial impacts from climate change. The environmental sector focuses on conservation of natural resources through climate change emissions reduction, natural resource management, and waste management [2]. With the growth of sustainability consciousness, many companies are investing in the environmental sector, particularly risk prevention and post-calamity insurance. Social and governmental management of environmental factors requires data to be used for climate modelling, eval...
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