Innovations and Advancement in Climate Science: Mechanistic Approaches and Computational Modelling

Abstract

Given the essential role of climate models in understanding and forecasting the risks associated with climate change, an in-depth exploration of meteorological science provides a necessary foundation for appreciating the complexity and utility of these models. They offer the foundation for anticipating consequences, guiding adaptation measures, and establishing mitigation objectives. As society faces the urgent challenges posed by rapidly escalating climate change, there is an increasing demand for detailed and precise information to support robust decision making and achieve the goal of net zero emissions by 2050. Leveraging existing technological advancements and scientific capacities requires more international cooperation and investment in next-generation supercomputing and earth system science. This groundbreaking strategy has the potential to produce substantial scientific insights required to increase ambitions in both mitigation and adaptation activities over the next few decades. By encouraging collaboration and enhancing climate modelling, we can better navigate the complexities of climate change and work towards a sustainable future.