Description:

The computational resources required to perform global weather and climate modeling have always been demanding. Given the need for kilometer scale resolution, enhanced physics, O(100) ensemble members, multiple forecast horizons (i.e. short-range, medium range and long-range) etc., this computational demand can be perceived as infinitely large. A multidisciplinary, cross-industry collaboration between software, silicon, system manufacturers, providers, academia etc. is required to meet ever increasing demand promptly and efficiently. This session invites abstracts on any innovative/emerging technology, innovation, insight etc. that will be useful in shaping and enabling the future of computing for weather, water, and climate modeling, including areas such as Artificial Intelligence/Machine Learning, GPUs and other specialized hardware, reconfigurable architectures such as FPGAs, future innovations in cloud computing, quantum computing, and hopefully other technologies we have not even heard of!