Using Data Science to Combat Climate Change
Given the new risks and challenges the world is facing due to climate change, developments and advancements in climate science have enormously important economic, business, and societal implications. Emerging initiatives focused on decarbonization, reforming agriculture, and emission reduction have taken priority on urgent sustainability agendas for businesses, governments, and other organizations. Climate science uses the power of data science to unlock new insights that can aid in evaluating and addressing pressing issues brought on by both naturally occurring climate variables and human-caused climate change, just like every other entity that depends on data to spark transformative momentum. The ultimate objective is to create solutions to prevent, control, and minimize them. Evolution of Climate Science The field of climatology, also known as climate science, developed out of weather forecasting in the 1940s and has advanced to include the highly complex earth system models used to...