This presentation discussed the needs of both short-term local weather and long-term climate prediction for the modeling of sustainable and resilient cities from an energy infrastructure system modeler’s point of view. Dr. Zuo introduced some of the ongoing DOE and NSF projects in developing open-source models for sustainable and resilient cities. These tools have been applied in various real-world applications, such as reducing energy consumption via net zero energy communities, minimizing building carbon emissions via emission conscious operation, retrofitting existing buildings for long-term energy and emission reduction, improving outdoor environmental quality via urban farming in Indonesia, and increasing the resilience of our energy systems for an island community in Florida after a Hurricane. During the discussion, he revealed the importance and opportunities of having good short-term weather prediction and long-term climate prediction in our energy infrastructure models in those applications.