The urgency of climate change has brought the importance of accelerating climate science and research to the forefront. Improved understanding of climate change risk and impacts will form the basis for developing strategies, including carbon footprint reduction, preparedness, planning, response, and resiliency. While climate research informing these strategies have made progress in last decades, further acceleration of discovery could be achieved by leveraging technological advances in hybrid cloud platforms and AI to exploit the massive generation of climate-related observation and simulation data. Further advances in quantum computing also hold promise to research areas such as accelerated discovery of materials for carbon capture, utilization, and storage. This talk will highlight how recent advances in AI, big data analytics, geospatial indexing and cloud platforms can be applied towards accelerating climate research and science as well as addressing industry-specific use cases to help enterprises mitigating and adapting to the impact of climate change.