The digital twin is recognized as digital copies of the physical world's objects stored in digital(cyber) space and utilized to simulate the sequences and consequences of target phenomena. Given the importance of the digital twin, we have proposed Tsunami Digital Twin (TDT) as a new paradigm in tsunami science and engineering to enhance tsunami disaster resilience. We report the progress of TDT applications underway in Japan and the US. The progress reports of TDT in Japan focus on the multi-platform computing capability to expand the tsunami forecast capability to other countries. We launched a new project, “TsunamiCast” to construct a full cloud-based end-to-end tsunami inundation forecast facility for at-risk coastal communities. The standard configuration of TsunamiCast infrastructure is an integration of our original tsunami inundation models (TUNAMI-N2) and computational tools with ArcGIS Enterprise, built on AWS EC2. The specific focus on the US West Coast is a probabilistic tsunami risk modeling framework supporting emergency management, urban planning, and risk mitigation towards the anticipated Cascadia tsunami scenarios. This work (US) is currently being funded by NASA under its Disasters Program.