The AMS Symposium on High Performance Computing for Weather, Water, and Climate celebrates its tenth year at AMS 2024. Join us to learn about the latest in applications of this critical enabling technology and to see where the technology is going.
Papers for the Tenth Symposium on High Performance Computing for Weather, Water, and Climate are solicited on the following:
Past, Present, and Future – a Panel Discussion on the history of High Performance Computing for Weather, Water, and Climate as well as where we are today and what the future may bring - This session invites abstracts discussing the history of the application of High Performance Computing (HPC) to advance weather, water, and climate modeling, as well as the current state of HPC for supporting these applications. The session also invites abstracts looking forward to the future of HPC for weather, water, and climate – what will be the capabilities in the future, how will HPC be delivered to users, and what challenges need to be overcome to gain the benefits of HPC going forward.
High Performance Applications and Techniques for Weather, Water, and Climate
High Performance Computing with Python for Weather, Water, and Climate - Python has become pervasive in scientific computing across academia, government, and industry. This session will focus on the use of Python as a language for development, implementation, and execution of applications on high performance computing platforms. Papers are invited addressing all aspects of the topic including success stories and lessons learned, tools and libraries, experience with on-premises and cloud platforms, application performance, and application portability.
High Performance Computing in the Cloud to Support Weather, Water, and Climate -Cloud computing has become pervasive across computational domains, including for providing HPC resources to the Weather, Water and Climate community. The cloud offers benefits in cost, ease of use, ease of access, and flexible provisioning, but there are challenges to gaining these benefits and the cloud will not be appropriate for all workloads. This session solicits papers presenting experiences in using HPC in the cloud for Weather, Water and Climate applications as well as analyses addressing suitability of cloud platforms for delivering HPC to Weather, Water and Climate applications. Abstracts are invited that address challenges and lessons learned from the experience, including issues of performance/optimization, availability, scalability, portability, data storage, data transfer and security and are also invited to address tools and techniques for HPC in the cloud. Abstracts are invited from users and providers of HPC in the cloud.
High Performance Computing for Numerical Weather Prediction - This session will explore the use of high-performance computing to develop, run, enhance the performance of, and post-process output from numerical weather prediction models. Abstract topics may include (but are not limited to) improving computational performance and efficiency, improving scalability, approaches to parallelization, optimizing numerical weather models to benefit from the use of specialized hardware such as graphical processing units (GPUs) in HPC environments, workflow management, and many others.
Innovative/Emerging Technologies, Products, and Services to Enable Future High-Performance Computing for Weather, Water, and Climate - 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!
Industry and Future Directions in HPC that will benefit Weather, Water and Climate Applications
Novel/Innovative Computational Techniques for HPC Supporting Weather, Water, and Climate - This session will feature talks addressing advances in computational techniques that lead to advances in the state of the art for High Performance Computing applications in Weather, Water, and Climate. Benefits of emerging novel/innovative techniques may include increased performance, enhanced scalability, reduced cost and others. Approaches addressed could include exploiting mixed-precision arithmetic, new solvers, artificial intelligence/machine learning, quantum computing, novel architectures and many others and the approaches can be hardware, software, or firmware solutions.
Applications, Workflows, and Techniques for access and use of High Performance Computing for scientific software
Benchmarking and Performance Analysis for Modeling on High Performance Computing Systems - Many application codes running on high performance computing platforms are characterized by their high resource use (nodes, storage, I/O) and their often long run-times. This resource usage leads to high cost. Therefore it is important to use the resources efficiently – both to reduce costs and to deliver timely results. Also, application performance is dependent on effective selection and configuration of HPC platforms that suit the application. All of these considerations make it important to have tools and techniques to measure and analyze performance of HPC applications and platforms. This session invites papers on all aspects of this topic, including benchmark suites, tools for performance analysis, performance analysis and benchmarking case studies, and use of these tools and techniques to select HPC platforms and to optimize applications.
Harnessing High Performance Computing to Support Modeling the Effect of Weather, Water, and Climate on Public Health - Climate change has now been recognized as a potential issue for the Public Health Community to consider when looking for new pathogens and potential disease outbreaks. This session will consider how weather and climate modeling enabled by HPC will impact the Public Health Community's considerations with regard to both short-term effects, such as how weather events might engender local public health emergencies, and longer-term effects, including the effects of warming on disease processes, changes in encroachment of zoonotic vectors into human spaces, and even sea level rise. What is the benefit of collaboration between weather and climate modelers and the infectious disease and public health practitioners to enhance models of impacts and implications of weather and climate that can improve the appreciation of the Public Health Community of these impacts?
Challenges and Opportunities Facing High-Performance Computing Centers Supporting Weather, Water, and Climate (Panel Discussion) - This session will feature a panel of Directors and Senior Managers from HPC Centers serving the Weather, Water and Climate community addressing the challenges they face in providing HPC services for research and operations – as well as the opportunities they see for enhancing the services they provide in the future. Each speaker will address the topic in a short presentation, followed by a panel discussion and questions from session attendees. Panelists are anticipated from Government agencies, research institutions, academia, and others. Previous year’s panels have been very informative and generated lively discussion, featuring speakers from NOAA, NASA, NCAR, DOD, ECMWF, and UKMet.
Other Topics in High Performance Computing for Weather, Water, and Climate -This session is designed to allow researchers with innovative work utilizing High Performance Computing for Weather, Water, or Climate Research a place to showcase that work, even if it does not fit into any of the pre-defined sessions already listed. To truly grow our community, we need to see what that community has accomplished, what they are currently working on, or what they feel they want to discuss with the community for potential new research efforts related to building new or utilizing current HPC resources. Abstracts submitted under this general heading will be grouped when possible with submissions on similar topics during the review process.
Ecological and Ecosystems Forecasting (Joint with the 12th Symposium on the Weather, Water, and Climate Enterprise) - Recent extreme weather events have increased awareness of the impact of climate change on the earth’s ecosystems – and the resulting impacts on society as ecosystem services such as food, water, security, and shelter are under increasing stress. This session invites abstracts on developments in ecosystems modeling and ecological forecasting and their application to providing insight into changes in the natural environment and the impact of these changes on society.
High-Performance Computing Support for Earth Prediction Innovations and Research in a Community Modeling Framework (Joint with 3rd Symposium on Community Modeling and Innovation)
Big Data, Big Computing, Bigger Science: High-Performance Computing Enabled Artificial Intelligence/Machine Learning in Earth System Science (Joint with the 40th Conference on Environmental Information Processing Technologies and the 23nd Conference on Artificial Intelligence for Environmental Science) - This session will be a joint session between the 9th Symposium on High-Performance Computing for Weather, Water, and Climate (10HPC) and the 23nd Conference on Artificial Intelligence for Environmental Science. As datasets grow larger and artificial intelligence / machine learning (AI/ML) methods grow more complex, researchers have pushed the need for more powerful computing resources to make scientific advances. This session will explore how these AI/ML projects are enabled by researchers using new computing methods, greater levels of parallelism, faster storage systems, better optimized algorithms, and more to push artificial intelligence and machine learning forward. Example submissions may include (but are not limited to) using clusters of specialized hardware such as graphical processing units (GPUs) to enable shorter time to results or larger pools of results, optimized storage systems that can reduce the latency of delivering data to learning algorithms distributed over a high-performance system, or work creating or using advanced algorithms that improve scalability towards exascale computing.
Cloud Computing for Big Data in Atmosphere, Ocean, and Climate (Joint with the 40th Conference on Environmental Information Processing Technologies, 23rd Conference on Artificial Intelligence for Environmental Science, and 14th Symposium on Advances in Modeling and Analysis Using Python) - Weather imposes constraints on human activity. As a consequence, most decision-makers/planners seek awareness to mitigate or eliminate weather impacts. As datasets become larger and larger, new and improved tools to work with Big Data are critical. This session welcomes contributions from research fields such as scientific visualization, information visualization or visual analytics that are applicable to large data sets from climatology, meteorology or related disciplines. Presentations on using cloud computing for analyzing satellite and model data for weather, ocean, or climate relevant applications will also be welcomed.
Developing Cloud-based Tools for Data Analysis and Archiving (Joint with the 40th Conference on Environmental Information Processing Technologies, the 23nd Conference on Artificial Intelligence for Environmental Science, and the 14th Symposium on Advances in Modeling and Analysis Using Python) - Cloud-based technologies continue to evolve and mature in their use and application. This session will delve into the growing use of cloud hosting solutions applied to benefit the environmental sciences and specifically applications for data analysis, visualization and archiving of environmental information. This session encourages submissions on these topics, focusing on how submitters are incorporating cloud-based applications into their work, what they have done, and what advantages this approach has provided to their efforts.
For additional information, please contact the program chair: Marc Cotnoir ([email protected]).